# How to integrate Parseur MCP with CrewAI

```json
{
  "title": "How to integrate Parseur MCP with CrewAI",
  "toolkit": "Parseur",
  "toolkit_slug": "parseur",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/parseur/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/parseur/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:21:25.959Z"
}
```

## Introduction

This guide walks you through connecting Parseur to CrewAI using the Composio tool router. By the end, you'll have a working Parseur agent that can list all documents in your invoices mailbox, create a webhook to send parsed receipts, pause the outgoing webhook for orders mailbox through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Parseur account through Composio's Parseur MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Parseur with

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

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Parseur connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Parseur
- Build a conversational loop where your agent can execute Parseur operations

## What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.
Key features include:
- Agent Roles: Define specialized agents with specific goals and backstories
- Task Management: Create tasks with clear descriptions and expected outputs
- Crew Orchestration: Combine agents and tasks into collaborative workflows
- MCP Integration: Connect to external tools through Model Context Protocol

## What is the Parseur MCP server, and what's possible with it?

The Parseur MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Parseur account. It provides structured and secure access to your Parseur data extraction workflows, so your agent can perform actions like managing mailboxes, handling documents, configuring webhooks, and automating template operations on your behalf.
- Mailbox management and discovery: Let your agent list, browse, and filter all Parseur mailboxes to keep tabs on your parsing operations and document streams.
- Document listing and retrieval: Effortlessly fetch documents from specific mailboxes, enabling automated sorting, searching, or pagination of your parsed files.
- Template and parsing rule automation: Ask your agent to list templates within any mailbox, so you can quickly inspect or update parsing rules as your data extraction needs evolve.
- Webhook configuration and control: Enable your agent to create, update, pause, enable, or delete webhooks, making it easy to automate real-time data delivery to your other systems.
- Comprehensive webhook inspection: Retrieve detailed webhook information or list all webhooks for a mailbox, ensuring you always know how and where your parsed data is flowing.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PARSEUR_COPY_DOCUMENT` | Copy Document | Tool to copy a document to another mailbox. Use when you need to duplicate a document from one mailbox to another mailbox within Parseur. |
| `PARSEUR_COPY_MAILBOX` | Copy Mailbox | Tool to copy a mailbox (parser) in Parseur. Creates a duplicate of the mailbox with all its configuration. Use when you need to duplicate an existing parser setup. |
| `PARSEUR_CREATE_CUSTOM_DOWNLOAD` | Create custom download | Tool to create a custom download (export configuration) for a mailbox. Use when you need to define which fields should be exported to CSV or XLS format. |
| `PARSEUR_CREATE_MAILBOX` | Create mailbox | Tool to create a new mailbox (parser) in Parseur. Use when you need to set up a new parser for document parsing with custom configuration. |
| `PARSEUR_DELETE_CUSTOM_DOWNLOAD` | Delete custom download | Tool to delete a custom download (export configuration) from a mailbox. Use when permanently removing an export configuration after confirming its ID. |
| `PARSEUR_DELETE_DOCUMENT` | Delete document | Tool to delete a specific document by ID. Use when permanently removing a document after confirming its ID. |
| `PARSEUR_DELETE_MAILBOX` | Delete mailbox | Tool to delete a mailbox (parser) by ID. Use when permanently removing a mailbox after confirming its ID. |
| `PARSEUR_DELETE_WEBHOOK` | Delete webhook | Tool to delete a specific webhook. Use when permanently removing a webhook after confirming its ID. |
| `PARSEUR_DISABLE_WEBHOOK` | Disable webhook | Tool to disable a webhook for a mailbox. Removes the webhook association from the specified mailbox. Use when you need to stop an active webhook from sending parsed data. |
| `PARSEUR_ENABLE_WEBHOOK` | Enable webhook | Enables a paused webhook for a specified mailbox, allowing it to receive and forward parsed document events. Use this action to re-enable a webhook that was previously paused. Only webhooks listed in 'available_webhook_set' (paused webhooks) can be enabled. After enabling, the webhook will appear in 'webhook_set' (active webhooks) and begin sending HTTP POST requests to its target URL when the configured event occurs (e.g., document.processed). |
| `PARSEUR_GET_BOOTSTRAP_CONFIG` | Get Bootstrap Config | Tool to retrieve bootstrap configuration data. Use when you need system-wide configuration choices, field format mappings, maximum field lengths, or master parser definitions. |
| `PARSEUR_GET_DOCUMENT` | Get Document | Tool to retrieve full details of a specific document by ID. Returns document status, processing info, parsed results, and download URLs for JSON, CSV, and XLS formats. |
| `PARSEUR_GET_DOCUMENT_LOGS` | Get Document Logs | Tool to get document logs for a specific document. Returns paginated list of logs with status, source, and message details. Use when you need to troubleshoot or audit document processing history. |
| `PARSEUR_GET_MAILBOX` | Get Mailbox by ID | Tool to retrieve full mailbox (parser) configuration by ID. Use when you need complete details about a specific mailbox including fields, webhooks, and settings. |
| `PARSEUR_GET_MAILBOX_SCHEMA` | Get Mailbox Schema | Tool to retrieve the JSON schema for a mailbox's parsed fields. Use when you need to understand the structure and types of data fields extracted by a specific parser. |
| `PARSEUR_LIST_CUSTOM_DOWNLOADS` | List Custom Downloads | Tool to retrieve custom downloads (export configurations) for a mailbox. Use when you need to list available export formats and their download URLs. |
| `PARSEUR_LIST_DOCUMENTS_IN_MAILBOX` | List Documents in Mailbox | Tool to list documents within a specific mailbox. Use when you need to paginate, search, or sort the documents of a given mailbox after obtaining its ID. |
| `PARSEUR_LIST_MAILBOXES2` | List Mailboxes (Full Details) | Tool to list mailboxes (parsers) with full configuration details. Returns paginated list of all mailboxes with document counts, processing statistics, and complete configuration settings. Use when you need comprehensive mailbox information including field configurations, processing options, and webhook settings. |
| `PARSEUR_LIST_TEMPLATES` | List Templates for Mailbox | Tool to list all templates in a given mailbox. Use after fetching mailbox details when you need to page through and inspect available templates for further actions. |
| `PARSEUR_REPROCESS_DOCUMENT` | Reprocess a document | Tool to reprocess a document. Triggers re-parsing of the document with the current template configuration. Use when you need to re-parse a document after template updates or to retry failed parsing. |
| `PARSEUR_RETRIEVE_WEBHOOK` | Retrieve a webhook | Tool to retrieve details of a specific webhook. Use after creating or listing webhooks. |
| `PARSEUR_SKIP_DOCUMENT` | Skip a document | Tool to skip a document. Marks the document as skipped and returns the updated document with status 'SKIPPED'. |
| `PARSEUR_UPDATE_CUSTOM_DOWNLOAD` | Update custom download | Tool to update a custom download (export configuration) for a mailbox. Use when you need to modify the field list, name, or export settings for an existing download configuration. |
| `PARSEUR_UPDATE_MAILBOX` | Update Mailbox | Tool to update a mailbox (parser) configuration. Use when you need to modify mailbox settings such as name, AI engine, processing options, or document handling rules. |
| `PARSEUR_UPDATE_WEBHOOK` | Update webhook | Tool to update an existing webhook’s settings. Use when you need to change the webhook’s target URL, event type, headers, or name after creation. |
| `PARSEUR_UPLOAD_EMAIL_DOCUMENT` | Upload Email Document | Tool to upload an email or text document to Parseur for parsing. Use when you need to programmatically send documents to a Parseur mailbox. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Parseur MCP server is an implementation of the Model Context Protocol that connects your AI agent to Parseur. It provides structured and secure access so your agent can perform Parseur operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account and API key
- A Parseur connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

**What's happening:**
- composio connects your agent to Parseur via MCP
- crewai provides Agent, Task, Crew, and LLM primitives
- crewai-tools[mcp] includes MCP helpers
- python-dotenv loads environment variables from .env
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID scopes the session to your account
- OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**What's happening:**
- CrewAI classes define agents and tasks, and run the workflow
- MCPServerHTTP connects the agent to an MCP endpoint
- Composio will give you a short lived Parseur MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
```

### 5. Create a Composio Tool Router session for Parseur

**What's happening:**
- You create a Parseur only session through Composio
- Composio returns an MCP HTTP URL that exposes Parseur tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["parseur"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
```

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["parseur"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")
```

## Conclusion

You now have a CrewAI agent connected to Parseur through Composio's Tool Router. The agent can perform Parseur operations through natural language commands.
Next steps:
- Add role-specific instructions to customize agent behavior
- Plug in more toolkits for multi-app workflows
- Chain tasks for complex multi-step operations

## How to build Parseur MCP Agent with another framework

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

## 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.
- [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.
- [Affinda](https://composio.dev/toolkits/affinda) - 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.
- [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.
- [Aryn](https://composio.dev/toolkits/aryn) - Aryn is an AI-powered platform for parsing, extracting, and analyzing data from unstructured documents. Use it to automate document processing and unlock actionable insights from your files.
- [Boldsign](https://composio.dev/toolkits/boldsign) - Boldsign is a digital eSignature platform for sending, signing, and tracking documents online. Organizations use it to automate agreements and manage legally binding workflows efficiently.
- [Boloforms](https://composio.dev/toolkits/boloforms) - BoloForms is an eSignature platform built for small businesses, offering unlimited signatures, templates, and forms. It simplifies digital document signing and team collaboration at a predictable, fixed price.
- [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.
- [Carbone](https://composio.dev/toolkits/carbone) - Carbone is a blazing-fast report generator that turns JSON data into PDFs, Word docs, spreadsheets, and more using flexible templates. It lets you automate document creation at scale with minimal code.
- [Castingwords](https://composio.dev/toolkits/castingwords) - CastingWords is a transcription service specializing in human-powered, accurate transcripts via a simple API. Get seamless audio-to-text conversion for interviews, meetings, podcasts, and more.
- [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.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Parseur MCP?

With a standalone Parseur MCP server, the agents and LLMs can only access a fixed set of Parseur tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Parseur and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with CrewAI?

Yes, you can. CrewAI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Parseur tools.

### Can I manage the permissions and scopes for Parseur while using Tool Router?

Yes, absolutely. You can configure which Parseur scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Parseur data and credentials are handled as safely as possible.

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