# Affinda

```json
{
  "name": "Affinda",
  "slug": "affinda",
  "url": "https://composio.dev/toolkits/affinda",
  "markdown_url": "https://composio.dev/toolkits/affinda.md",
  "logo_url": "https://logos.composio.dev/api/affinda",
  "categories": [
    "document & file management"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-05-12T10:00:17.516Z"
}
```

![Affinda logo](https://logos.composio.dev/api/affinda)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Affinda MCP or direct API to extract key data from documents, parse resumes, process invoices, and automate document workflows through natural language.

## Summary

Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data.

## Categories

- document & file management

## Toolkit Details

- Tools: 105

## Images

- Logo: https://logos.composio.dev/api/affinda

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Affinda.
  - Setup:
    - Configure Api Key credentials for Affinda.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Extract invoice data from uploaded PDF
- Delete a document no longer needed
- Create a new tag for HR documents
- Set up webhook for document parsing events

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `AFFINDA_ADD_TAG_TO_DOCUMENTS` | Add Tag to Documents | Tool to add a tag to multiple documents in a single operation. Use when you need to organize or categorize multiple documents by assigning them a shared tag. Tags enable efficient filtering and grouping of documents in your workspace. |
| `AFFINDA_BATCH_UPDATE_ANNOTATIONS` | Batch Update Annotations | Batch update multiple document annotations in a single API call. Use this action to efficiently update parsed values or other fields across many annotations at once, rather than making individual update requests for each annotation. Prerequisites: - Obtain annotation IDs using the 'Get Annotations' action with a document filter - Annotations must exist in documents that have been processed by Affinda Common use cases: - Correcting OCR/extraction errors in bulk - Updating parsed values after manual review - Modifying annotation data programmatically |
| `AFFINDA_CREATE_API_USER` | Create API User | Tool to create a new API user within an organization. Use when you need to generate a new API user with authentication credentials for programmatic access to Affinda services. |
| `AFFINDA_CREATE_BATCH_ANNOTATIONS` | Batch Create Annotations | Batch create multiple document annotations in a single API call. Use this action to efficiently create multiple annotations at once for documents that have been processed by Affinda. This is useful for programmatically adding structured data to documents or importing annotation data from external sources. Prerequisites: - Documents must be created first using 'Create Document' action - Obtain document identifiers from 'Create Document' or 'Get Documents' actions - Know the data point identifiers for your collection (from extractor configuration) Common use cases: - Importing annotation data from external systems - Programmatically adding structured data to documents - Creating annotations for validation or training purposes |
| `AFFINDA_CREATE_COLLECTION` | Create Collection | Tool to create a new collection. Use after you have a valid workspace ID and want to group documents by a specific extractor within that workspace. |
| `AFFINDA_CREATE_DATA_FIELD_FOR_COLLECTION` | Create Data Field For Collection | Tool to create a data field for a collection along with a new data point. Use when you need to add a custom field to a collection for document processing and validation. |
| `AFFINDA_CREATE_DATA_SOURCE` | Create Data Source | Tool to create a custom mapping data source. Use when you need to set up a new data source for mapping AI-extracted values to your database records. |
| `AFFINDA_CREATE_DATA_SOURCE_VALUE` | Create Data Source Value | Tool to add a new value to a mapping data source. Use when you need to add entries to a data source for mapping or validation purposes. The created value can then be referenced in document extraction and mapping workflows. |
| `AFFINDA_CREATE_DOCUMENT` | Create Document | Upload a document to Affinda for parsing and data extraction. Use this action when you need to: - Parse resumes/CVs to extract candidate information - Process invoices to extract line items, amounts, and vendor details - Extract data from any supported document type (PDF, DOCX, images) You can upload either a file directly or provide a publicly accessible URL. The document will be processed by Affinda's AI extraction engine. Prerequisites: - For collection-based uploads: Get collection ID from get_collections action - For workspace-specific uploads: Get workspace ID from get_workspaces action |
| `AFFINDA_CREATE_DOCUMENT_TYPE` | Create Document Type | Tool to create a new document type in the specified organization. Use when you need to define a new category of documents for processing. Document types allow you to organize and categorize documents within an organization. |
| `AFFINDA_CREATE_EXTRACTOR` | Create Extractor | Tool to create a new extractor. Use when you need to define a custom document parser with specific fields and extraction rules, typically derived from a base extractor. |
| `AFFINDA_CREATE_FROM_DATA_DOCUMENTS` | Create Document from Data | Create a document from structured resume or job description data for Search & Match. Use this when you have structured data to create a document programmatically without file uploads. Returns an identifier for subsequent status checks via /documents/{identifier}. |
| `AFFINDA_CREATE_INDEX` | Create Index | Tool to create a new index for search and match functionality. Use when you need to set up a new index for organizing and searching documents like resumes or job descriptions. |
| `AFFINDA_CREATE_INVITATION` | Create Invitation | Tool to create a new organization invitation. Use when you need to invite a user to join an organization with a specific role. |
| `AFFINDA_CREATE_JOB_DESCRIPTION_SEARCH` | Create Job Description Search | Search through parsed job descriptions using custom criteria or resume matching. Use this action when you need to find job postings that match specific requirements such as skills, experience, location, education, or to find jobs matching a candidate's resume. Returns ranked results with detailed match scores. |
| `AFFINDA_CREATE_JOB_DESCRIPTION_SEARCH_EMBED_URL` | Create Job Description Search Embed URL | Tool to create and return a signed URL for the embeddable job description search tool. Use this when you need to generate a URL that can be embedded on a web page to provide job description search functionality. Optionally pass config_override to customize display settings, field weights, and theme. |
| `AFFINDA_CREATE_ORGANIZATION` | Create Organization | Tool to create a new organization. Use when you have a unique organization name and want to group resources under it. |
| `AFFINDA_CREATE_RESTHOOK_SUBSCRIPTION` | Create RESTHook Subscription | Tool to create a new RESTHook subscription. Use after confirming your webhook endpoint is ready to receive document event notifications. |
| `AFFINDA_CREATE_RESUME_SEARCH` | Create Resume Search | Tool to search through parsed resumes using three methods: match to a job description, match to a resume, or custom criteria. Use when you need to find candidates matching specific requirements. |
| `AFFINDA_CREATE_RESUME_SEARCH_EMBED_URL` | Create Resume Search Embed URL | Tool to create and return a signed URL for the embeddable resume search tool. Use this when you need to generate a URL that can be embedded on a web page to provide resume search functionality. Optionally pass config_override to customize display settings, field weights, and theme. |
| `AFFINDA_CREATE_TAG` | Create Tag | Creates a new tag in the specified workspace. Tags can be used to categorize and label documents for organization and filtering. Each tag name must be unique within its workspace. Returns the created tag with its ID and metadata. |
| `AFFINDA_CREATE_VALIDATION_RESULT` | Create Validation Result | Create a validation result for document annotations in Affinda. Use this tool to record validation outcomes after parsing a document. Validation results track whether specific annotations (extracted data fields) pass or fail business rules. Prerequisites: 1. Get a document identifier from Get Documents or Create Document 2. Get annotation IDs from Get Annotations for that document 3. Define a kebab-case rule slug that identifies your validation rule Example use cases: - Recording that an invoice total matches the sum of line items - Marking that a required field is present and valid - Logging validation failures for review workflows |
| `AFFINDA_CREATE_VALIDATION_RESULTS_BATCH` | Batch Create Validation Results | Batch create multiple validation results for document annotations in a single API call. Use this action to efficiently record validation outcomes for multiple documents or rules at once, rather than making individual create requests for each validation result. This is particularly useful for bulk validation workflows or when validating multiple rules across many documents. Prerequisites: - Obtain document identifiers from Get Documents or Create Document actions - Get annotation IDs from Get Annotations for those documents - Define kebab-case rule slugs that identify your validation rules Common use cases: - Bulk recording of validation results across multiple documents - Validating multiple business rules on the same document - Automated validation workflows for large document batches |
| `AFFINDA_CREATE_WORKSPACE` | Create Workspace | Tool to create a new workspace. Use when you need to programmatically create a workspace container within an organization. |
| `AFFINDA_CREATE_WORKSPACE_MEMBERSHIP` | Create Workspace Membership | Tool to add a user to a workspace by creating a membership. Use when you need to grant a user access to a specific workspace. |
| `AFFINDA_DELETE_ANNOTATIONS_BATCH` | Batch Delete Annotations | Batch delete multiple document annotations in a single API call. Use this action to efficiently remove multiple annotations at once rather than making individual delete requests for each annotation. Prerequisites: - Obtain annotation IDs using the 'Get Annotations' action with a document filter - Annotations must exist in documents that have been processed by Affinda Common use cases: - Removing incorrect or unwanted annotations in bulk - Cleaning up annotations after document reprocessing - Deleting specific extracted data fields programmatically |
| `AFFINDA_DELETE_COLLECTION` | Delete Collection | Permanently delete a collection from Affinda by its identifier. This is a destructive operation that cannot be undone. Use Get Collections first to verify the collection ID before deletion. Note: Documents in the collection may also be affected. |
| `AFFINDA_DELETE_DATA_SOURCE` | Delete Data Source | Permanently delete a mapping data source from the database by its identifier. This is a destructive operation that cannot be undone. Use when you need to remove a data source that is no longer needed or was created in error. |
| `AFFINDA_DELETE_DATA_SOURCE_VALUE` | Delete Data Source Value | Tool to delete a specific value from a mapping data source. Use when you need to remove an incorrect or outdated value from a data source mapping. |
| `AFFINDA_DELETE_DOCUMENT` | Delete Document | Tool to delete a specific document by its ID. Use when you need to remove a document that is incorrect or no longer needed, after confirming the document ID. |
| `AFFINDA_DELETE_DOCUMENT_TYPE` | Delete Document Type | Tool to permanently delete a document type by its identifier. Use when you need to remove a document type that is no longer needed. This is a destructive operation that cannot be undone. |
| `AFFINDA_DELETE_INDEX` | Delete Index | Tool to permanently delete an index from Affinda by its name. Use when you need to remove an index that is no longer needed. This is a destructive operation that cannot be undone. |
| `AFFINDA_DELETE_INVITATION` | Delete Invitation | Tool to delete an invitation by its identifier. Use when you need to remove or revoke an invitation after confirming the invitation identifier. |
| `AFFINDA_DELETE_ORGANIZATION` | Delete Organization | Permanently deletes an organization from Affinda. This action is destructive and cannot be undone. All workspaces, collections, and documents associated with the organization will also be deleted. Use the get_organizations action first to confirm the organization identifier before deletion. |
| `AFFINDA_DELETE_RESTHOOK_SUBSCRIPTION` | Delete Resthook Subscription | Tool to delete a specific resthook subscription by ID. Use after confirming the subscription identifier when the webhook is no longer needed. |
| `AFFINDA_DELETE_TAG` | Delete Tag | Permanently delete a tag from Affinda by its ID. This is a destructive operation that cannot be undone. Use Get Tags first to verify the tag ID before deletion. |
| `AFFINDA_DELETE_VALIDATION_RESULTS` | Delete Validation Results | Delete multiple validation results in a single API call. Use this action to efficiently remove multiple validation results at once rather than making individual delete requests for each validation result. Prerequisites: - Obtain validation result IDs using the 'Get All Validation Results' action Common use cases: - Removing obsolete validation results in bulk - Cleaning up validation results after reprocessing documents - Deleting validation results for specific documents programmatically |
| `AFFINDA_DELETE_WORKSPACE` | Delete Workspace | Tool to delete a specific workspace by its ID. Use when you need to remove an unused workspace after confirming the workspace ID. |
| `AFFINDA_DELETE_WORKSPACE_MEMBERSHIP` | Delete Workspace Membership | Tool to remove a user from a workspace by membership ID. Use after confirming the workspace membership ID to revoke access. |
| `AFFINDA_GET_ALL_API_USERS` | Get All API Users | Tool to retrieve a list of all API users. Use when you need to list API users, optionally filtered by organization. |
| `AFFINDA_GET_ALL_DOCUMENT_SPLITTERS` | Get All Document Splitters | Tool to get a list of all document splitters. Use when you need to retrieve document splitters, optionally filtered by organization. |
| `AFFINDA_GET_ALL_INVITATIONS` | Get All Invitations | Tool to retrieve all invitations you created or sent to you. Use when you need to list organization invitations with optional filtering by status, role, or organization. |
| `AFFINDA_GET_ALL_ORGANIZATION_MEMBERSHIPS` | Get Organization Memberships | Retrieve all organization memberships across the account. Returns paginated results showing which users belong to which organizations. Use to audit organization access or find specific user memberships. |
| `AFFINDA_GET_ALL_TAGS` | Get Tags | Tool to list all tags. Use after confirming authentication to fetch tags across workspaces. |
| `AFFINDA_GET_ALL_VALIDATION_RESULTS` | Get All Validation Results | Tool to list validation results for documents. Use after processing documents to inspect validation outcomes. |
| `AFFINDA_GET_ALL_WORKSPACE_MEMBERSHIPS` | Get Workspace Memberships | Retrieve all workspace memberships across the account. Returns paginated results showing which users belong to which workspaces. Use to audit workspace access or find specific user memberships. |
| `AFFINDA_GET_ANNOTATIONS` | Get Annotations | Retrieves all annotations for a specific document. Annotations are extracted data fields (text, dates, numbers, tables, etc.) from parsed documents. Use this after a document has been processed to access the extracted data. |
| `AFFINDA_GET_COLLECTION` | Get Collection | Tool to retrieve details of a specific collection by its ID. Use when you need full metadata about a collection after confirming its identifier. |
| `AFFINDA_GET_COLLECTIONS` | Get Collections | Tool to retrieve a list of all collections. Use when you need to list collections in your Affinda workspace after authentication. |
| `AFFINDA_GET_DATA_SOURCE` | Get Data Source | Tool to retrieve details of a specific mapping data source by its identifier. Use when you need to fetch mapping data source metadata and schema configuration. |
| `AFFINDA_GET_DATA_SOURCE_VALUE` | Get Data Source Value | Tool to retrieve a specific value from a mapping data source. Use when you need to get details about a particular value in a data source. |
| `AFFINDA_GET_DATA_SOURCE_VALUES` | Get Data Source Values | Tool to retrieve all values from a mapping data source. Use when you need to list or search values in a specific data source after authentication. |
| `AFFINDA_GET_DOCUMENT` | Get Document | Retrieve full details and parsed data for a specific document by its identifier. Use this tool to get comprehensive information about a document including: - Processing status (ready/failed) - Document metadata (file name, page count, language) - Parsed/extracted data results - URLs for PDF, original file, and review page - Collection and workspace information The document identifier can be either a system-generated ID or a custom identifier set during document upload. |
| `AFFINDA_GET_DOCUMENT_REDACTED` | Get Document Redacted | Tool to retrieve the redacted version of a document as a PDF file. Use when you need to get a document with sensitive information removed. The original document is not modified by this operation. |
| `AFFINDA_GET_DOCUMENTS` | Get Documents | Tool to retrieve a list of all documents. Use when you need to list documents in your Affinda workspace after authentication. |
| `AFFINDA_GET_DOCUMENT_SPLITTER` | Get Document Splitter | Tool to retrieve details of a specific document splitter by its identifier. Use when you need to fetch metadata about a document splitter configuration. |
| `AFFINDA_GET_DOCUMENT_TYPE` | Get Document Type | Tool to retrieve details of a specific document type by its ID. Use when you need to confirm the configuration or metadata of a document type before processing documents. |
| `AFFINDA_GET_DOCUMENT_TYPE_JSON_SCHEMA` | Get Document Type JSON Schema | Tool to generate a JSON schema from a document type by its identifier. Use when you need the structured schema definition for a document type to understand its field structure and validation rules. |
| `AFFINDA_GET_DOCUMENT_TYPE_PYDANTIC_MODELS` | Get Document Type Pydantic Models | Tool to generate Pydantic model code from a document type's schema. Use when you need type-safe Python models for parsing documents of a specific type. |
| `AFFINDA_GET_DOCUMENT_TYPES` | Get Document Types | Retrieve all document types accessible to the authenticated user. Returns a list containing each document type's identifier, name, description, ingest email, and organization. Use this to discover available document types before uploading or processing documents. |
| `AFFINDA_GET_EXTRACTOR` | Get Extractor | Tool to retrieve detailed information about a specific extractor by its identifier. Use when you need complete metadata about an extractor's configuration, fields, and capabilities. |
| `AFFINDA_GET_EXTRACTORS` | Get Extractors | Retrieve all extractors available for an organization. Extractors are document parsing configurations that define what data to extract from documents. This includes both Affinda's built-in extractors (resumes, invoices, etc.) and any custom extractors created for the organization. Use this action to: - List available extractors before creating a collection - Find the identifier of a specific extractor type - Check if custom extractors exist for the organization |
| `AFFINDA_GET_INDEX_DOCUMENTS` | Get Index Documents | Tool to retrieve all indexed documents for a specific index. Use when you need to list documents in a search index after creating or accessing an index. |
| `AFFINDA_GET_INVITATION` | Get Invitation | Tool to retrieve details of a specific organization invitation by its identifier. Use when you need to check invitation status or get invitation metadata. |
| `AFFINDA_GET_JOB_DESCRIPTION_SEARCH_CONFIG` | Get Job Description Search Config | Tool to get the configuration for the logged in user's embeddable job description search tool. Returns display settings, field weights, and maximum results limits. |
| `AFFINDA_GET_MAPPING` | Get Mapping | Tool to retrieve a specific mapping by its identifier. Use when you need to fetch mapping configuration details for a lookup against a MappingDataSource. |
| `AFFINDA_GET_ORGANIZATION` | Get Organization | Tool to retrieve details of a specific organization by its ID. Use when you need to fetch an organization's metadata after confirming its identifier. |
| `AFFINDA_GET_ORGANIZATION_MEMBERSHIP` | Get Organization Membership | Tool to retrieve details of a specific organization membership by its ID. Use when you need to confirm a user's role and details within an organization. |
| `AFFINDA_GET_ORGANIZATIONS` | Get Organizations | Retrieves all organizations accessible to the authenticated user. Returns a list of organizations with details including identifier, name, user role, trial status, and configuration settings. Use the 'identifier' field from the response when calling other organization-related endpoints. |
| `AFFINDA_GET_RESTHOOK_SUBSCRIPTION` | Get Resthook Subscription | Tool to retrieve details of a specific resthook subscription by its ID. Use after confirming its creation to verify its settings. |
| `AFFINDA_GET_RESTHOOK_SUBSCRIPTIONS` | Get RESTHook Subscriptions | Tool to retrieve a list of all RESTHook subscriptions. Use after authenticating to list all webhook subscriptions associated with your account. |
| `AFFINDA_GET_TAG` | Get Tag | Tool to retrieve details of a specific tag by its ID. Use when you need to fetch information about a particular tag. |
| `AFFINDA_GET_USAGE_BY_WORKSPACE` | Get Usage by Workspace | Retrieves monthly document processing usage statistics for a specific workspace. Returns a list of usage records showing how many documents were processed each month. Use this to track workspace activity, monitor consumption trends, or generate usage reports. |
| `AFFINDA_GET_WORKSPACE` | Get Workspace | Tool to retrieve details of a specific workspace by its ID. Use when you need full workspace metadata after confirming its identifier. |
| `AFFINDA_GET_WORKSPACE_MEMBERSHIP` | Get Workspace Membership | Tool to retrieve details of a specific workspace membership by its ID. Use when you need to confirm a user's role and details within a workspace after obtaining the membership identifier. |
| `AFFINDA_GET_WORKSPACES` | Get Workspaces | Tool to retrieve a list of all workspaces. Use when you need to list workspaces filtered by organization and optional name. |
| `AFFINDA_LIST_DATA_POINTS` | List Data Points | Tool to retrieve all data points. Returns both custom data points and Affinda's off-the-shelf data points. Use when you need to list available data points for extractors. |
| `AFFINDA_LIST_DATA_SOURCES` | List Data Sources | Tool to retrieve the list of all custom mapping data sources. Use when you need to list or search for mapping data sources in your Affinda workspace. |
| `AFFINDA_LIST_INDEXES` | List Indexes | Tool to retrieve a list of all search indexes. Use when you need to view available indexes for searching and matching documents in Affinda. |
| `AFFINDA_LIST_MAPPINGS` | List Mappings | Tool to retrieve the list of all custom data mappings. Use when you need to list mappings for a specific data source. |
| `AFFINDA_LIST_OCCUPATION_GROUPS` | List Occupation Groups | Tool to retrieve the list of searchable occupation groups. Use when you need to get available occupation categories for job matching or classification. |
| `AFFINDA_LIST_RESUME_SEARCH_CONFIG` | List Resume Search Config | Tool to get the configuration for the logged in user's embeddable resume search tool. Use this to retrieve display field settings, search weights, maximum results, and theme customization options for the resume search interface. |
| `AFFINDA_LIST_RESUME_SEARCH_JOB_TITLE_SUGGESTIONS` | List Resume Search Job Title Suggestions | Tool to get job title suggestions based on provided job title(s). Use when you need to find related job titles for resume search. |
| `AFFINDA_LIST_RESUME_SEARCH_SKILL_SUGGESTIONS` | List Resume Search Skill Suggestions | Tool to get skill suggestions based on provided skills. Use when you need to find related skills to expand or refine resume search queries. |
| `AFFINDA_REMOVE_TAG_FROM_DOCUMENTS` | Remove Tag from Documents | Remove a tag from multiple documents in a single batch operation. Use this action to efficiently untag many documents at once rather than making individual remove requests. The operation is idempotent - removing a tag that isn't present on a document will not cause an error. |
| `AFFINDA_REPLACE_DATA_SOURCE_VALUES` | Replace Data Source Values | Tool to completely replace all values in a mapping data source. Use when you need to bulk update or refresh an entire data source's value list. Note: For large data sources (>1000 values), new values may take a few minutes to become searchable after the operation completes. |
| `AFFINDA_SPLIT_DOCUMENT_PAGES` | Split Document Pages | Split a document into multiple documents by dividing its pages. Use when you need to separate a multi-page document into distinct documents based on page groupings. Prerequisites: - Obtain the document identifier from create_document or get_document actions - Use get_document to retrieve page IDs for the pages you want to split Important notes: - Each page can only be assigned to one split - All pages should be accounted for across all splits - One split can optionally use the original document identifier to maintain the root document |
| `AFFINDA_UPDATE_ANNOTATION` | Update Annotation | Tool to update data of a single annotation in Affinda. Use when you need to correct extracted values, verify annotations, or modify annotation metadata after document processing. Prerequisites: - Obtain the annotation ID using the 'Get Annotations' action with a document filter - Annotations must exist in documents that have been processed by Affinda Common use cases: - Correcting OCR or extraction errors in individual fields - Marking annotations as verified after manual review (set isClientVerified=true) - Updating parsed values to fix incorrect data extraction - Modifying annotation coordinates or page references Note: For bulk updates across multiple annotations, use the 'Batch Update Annotations' action instead for better efficiency. |
| `AFFINDA_UPDATE_COLLECTION` | Update Collection | Tool to update specific fields of a collection. Use when you need to rename or reassign a collection after creation. |
| `AFFINDA_UPDATE_DATA_FIELD_FOR_COLLECTION` | Update Data Field For Collection | Tool to update a data field configuration for a collection's data point. Use when you need to modify field properties such as label, type, mandatory status, or validation settings after the field has been created. |
| `AFFINDA_UPDATE_DATA_SOURCE_VALUE` | Update Data Source Value | Tool to update an existing value in a mapping data source. Use when you need to modify the label or description of an existing data source value. The value identifier itself cannot be changed. |
| `AFFINDA_UPDATE_DOCUMENT` | Update Document | Tool to update specific fields of a document. Use when you need to rename, reassign, or adjust expiry and storage settings after document creation. |
| `AFFINDA_UPDATE_DOCUMENT_DATA` | Update Document Data | Update parsed data for a resume or job description document in Affinda. This endpoint is ONLY applicable for documents that have been processed with 'resume' or 'job-description' extractors. For other document types, use the batch_update_annotations endpoint instead. Use this tool when you need to correct or add parsed fields to an existing resume or job description document after it has been uploaded and processed. |
| `AFFINDA_UPDATE_DOCUMENT_TYPE` | Update Document Type | Tool to update a document type by its identifier. Use when you need to modify the name or description of an existing document type. |
| `AFFINDA_UPDATE_EXTRACTOR` | Update Extractor | Tool to update specific fields of an extractor. Use when you need to modify an extractor's name, category, validation settings, or field groups after creation. |
| `AFFINDA_UPDATE_INDEX` | Update Index | Tool to update the name of an existing search index. Use when you need to rename an index after creation. |
| `AFFINDA_UPDATE_INVITATION` | Update Invitation | Tool to update an organization invitation's role. Use when you need to change the role assigned to an invitation before it is accepted. |
| `AFFINDA_UPDATE_JOB_DESCRIPTION_SEARCH_CONFIG` | Update Job Description Search Config | Tool to update the configuration for the logged in user's embeddable job description search tool. Use to configure display fields, field weights, maximum results, and UI customization options. |
| `AFFINDA_UPDATE_MAPPING` | Update Mapping | Tool to update a specific mapping's settings. Use when you need to adjust score cutoff or ordering for a lookup against a MappingDataSource. |
| `AFFINDA_UPDATE_ORGANIZATION` | Update Organization | Tool to update specific fields of an organization. Use when you need to modify an organization's name, avatar, or webhook and validation settings after creation. |
| `AFFINDA_UPDATE_ORGANIZATION_MEMBERSHIP` | Update Organization Membership | Tool to update an organization membership's role. Use when you need to change a user's role within an organization. |
| `AFFINDA_UPDATE_RESTHOOK_SUBSCRIPTION` | Update RESTHook Subscription | Tool to update an existing RESTHook subscription. Use after confirming the subscription identifier to modify its URL, event, or activation status. |
| `AFFINDA_UPDATE_RESUME_SEARCH_CONFIG` | Update Resume Search Config | Tool to update the configuration for the logged in user's embeddable resume search tool. Use this to modify which fields are displayed, their search weights, maximum results limit, distance units, custom actions, and theme settings. |
| `AFFINDA_UPDATE_TAG` | Update Tag | Tool to update data of a tag. Use when you need to modify a tag's name or reassign it to a different workspace. Only provide the fields you want to change; other fields will remain unchanged. |
| `AFFINDA_UPDATE_WORKSPACE` | Update Workspace | Tool to update specific fields of a workspace. Use when you need to modify a workspace's name, visibility, document rejection policy, or other settings. Only provide the fields you want to change; other fields will remain unchanged. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Affinda Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Affinda actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Extract key fields from uploaded invoice PDF'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Extract key fields from uploaded invoice PDF'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and Claude Agent SDK
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Create Tool Router Session

Initialize the Composio client and create a Tool Router session
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });

console.log("Creating Tool Router session...");
const { mcp } = await composio.create('your-user-id');
console.log(`Tool Router session created: ${mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Affinda tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Extract company names from this invoice PDF')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText, stepCountIs } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: mcp.url,
    headers: { 'x-api-key': 'your-composio-api-key' }
  }
});

const tools = await client.tools();

const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{ role: 'user', content: 'Extract company names from this invoice PDF' }],
  stopWhen: stepCountIs(5)
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Affinda Integration

- Supports both Affinda MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Affinda data

### 2. Managed Auth

- Built-in API key handling with secure storage by Composio
- Central place to manage, scope, and revoke Affinda access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Affinda
- Scoped, least privilege access to Affinda resources
- Full audit trail of agent actions to support review and compliance

## Use Affinda with any AI Agent Framework

Choose a framework you want to connect Affinda with:

- [OpenAI Agents SDK](https://composio.dev/toolkits/affinda/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/affinda/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/affinda/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/affinda/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/affinda/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/affinda/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/affinda/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/affinda/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/affinda/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/affinda/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/affinda/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/affinda/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/affinda/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/affinda/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/affinda/framework/autogen)

## Related Toolkits

- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze.
- [Agility cms](https://composio.dev/toolkits/agility_cms) - Agility CMS is a headless content management system for building and managing digital experiences across platforms. It lets teams update content quickly and deliver omnichannel experiences with ease.
- [Algodocs](https://composio.dev/toolkits/algodocs) - Algodocs is an AI-powered platform that automates data extraction from business documents. It delivers fast, secure, and accurate processing without templates or manual training.
- [Api2pdf](https://composio.dev/toolkits/api2pdf) - Api2Pdf is a REST API for generating PDFs from HTML, URLs, and documents using powerful engines like wkhtmltopdf and Headless Chrome. It streamlines document conversion and automation for developers and businesses.
- [Box](https://composio.dev/toolkits/box) - Box is a cloud content management and file sharing platform for businesses. It helps teams securely store, organize, and collaborate on files from anywhere.
- [Cloudconvert](https://composio.dev/toolkits/cloudconvert) - CloudConvert is a powerful file conversion service supporting over 200 file formats. It streamlines converting, compressing, and managing documents, media, and more, all in one place.
- [Cloudlayer](https://composio.dev/toolkits/cloudlayer) - Cloudlayer is a document and asset generation service for creating PDFs and images via API or SDKs. It lets you automate high-quality doc creation, saving dev time and reducing manual work.
- [Cloudpress](https://composio.dev/toolkits/cloudpress) - Cloudpress is a content export tool for Google Docs and Notion. It automates publishing to your favorite Content Management Systems.
- [Contentful graphql](https://composio.dev/toolkits/contentful_graphql) - Contentful graphql is a content delivery API that lets you access Contentful data using GraphQL queries. It gives you efficient, flexible ways to fetch and manage structured content for any digital project.
- [Conversion tools](https://composio.dev/toolkits/conversion_tools) - Conversion Tools is an online service for converting documents between formats such as PDF, Word, Excel, XML, and CSV. It lets you automate complex document workflows with just a few clicks.
- [Convertapi](https://composio.dev/toolkits/convertapi) - ConvertAPI is a robust file conversion service for documents, images, and spreadsheets. It streamlines programmatic format changes and lets developers automate complex workflows with a single API.
- [Craftmypdf](https://composio.dev/toolkits/craftmypdf) - CraftMyPDF is a web-based service for designing and generating PDFs with templates and live data. It streamlines document creation by automating personalized PDFs at scale.
- [Docmosis](https://composio.dev/toolkits/docmosis) - Docmosis generates PDF and Word documents from user-defined templates. It's perfect for merging data fields to quickly produce reports, invoices, and business letters.
- [Docnify](https://composio.dev/toolkits/docnify) - Docnify is a digital signing platform that streamlines the way you sign and manage documents. It brings together tools like Figma, Jira, Trello, and Google Docs for a unified document workspace.
- [Docparser](https://composio.dev/toolkits/docparser) - Docparser is a cloud-based document parsing and automation platform. It streamlines data extraction from PDFs and documents for faster workflows.
- [DocRaptor](https://composio.dev/toolkits/docraptor) - DocRaptor is a powerful API for converting HTML to PDF or XLSX documents. It enables fast, high-quality document generation from your applications.
- [Docsautomator](https://composio.dev/toolkits/docsautomator) - Docsautomator is an automation platform for Google Docs. It lets you create, manage, and generate documents from templates quickly.
- [Docsumo](https://composio.dev/toolkits/docsumo) - Docsumo is an AI-powered platform for automating document data extraction and analysis. It helps you turn PDFs, invoices, and forms into structured, actionable data with minimal manual effort.
- [Docugenerate](https://composio.dev/toolkits/docugenerate) - Docugenerate turns Word templates and JSON data into polished PDF documents. Streamline document automation for tasks like contracts, invoices, and certificates.

## Frequently Asked Questions

### Do I need my own developer credentials to use Affinda with Composio?

Yes, Affinda requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)