# Docsbot ai

```json
{
  "name": "Docsbot ai",
  "slug": "docsbot_ai",
  "url": "https://composio.dev/toolkits/docsbot_ai",
  "markdown_url": "https://composio.dev/toolkits/docsbot_ai.md",
  "logo_url": "https://logos.composio.dev/api/docsbot_ai",
  "categories": [
    "sales & customer support"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-05-12T10:09:10.884Z"
}
```

![Docsbot ai logo](https://logos.composio.dev/api/docsbot_ai)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Docsbot ai MCP or direct API to answer customer questions, summarize documentation, generate support replies, and extract key info from docs through natural language.

## Summary

Docsbot ai is a platform that lets you build custom AI chatbots trained on your documentation. It automates customer support and content generation, saving time and improving response quality.

## Categories

- sales & customer support

## Toolkit Details

- Tools: 38

## Images

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

## Authentication

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

## Suggested Prompts

- List all bots for my team
- Generate support ticket from recent chat
- Update bot description to new branding
- List unanswered questions for a bot

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DOCSBOT_AI_CAPTURE_CONVERSATION_LEAD` | Capture Conversation Lead | Tool to capture lead information by updating conversation metadata and saving the lead. Works whether or not the conversation has been created yet. |
| `DOCSBOT_AI_CREATE_BOT` | Create Bot | Tool to create a new bot within a team. Use when you have a valid team ID and want to provision a new bot. |
| `DOCSBOT_AI_CREATE_SOURCE` | Create Bot Source | Tool to create a new source for a bot. Sources can be URLs, files, sitemaps, and other types. Use when you have content to add to a bot's knowledge base. For file-based sources, first upload the file using the Upload File to Cloud Storage action. |
| `DOCSBOT_AI_CREATE_WEBHOOK` | Create Webhook | Tool to create a new webhook subscription for a bot. Use when you want to receive real-time notifications for specific events (lead.created, deep_research.done, conversation.escalated, conversation.rated). The target URL must be publicly accessible and support HTTPS. |
| `DOCSBOT_AI_DELETE_BOT` | Delete Bot | Tool to delete a specific bot by its ID. Use after confirming the bot ID is correct to permanently remove a bot from the system. |
| `DOCSBOT_AI_DELETE_CONVERSATION` | Delete Conversation | Tool to delete a specific conversation by its ID. Use after confirming the conversation ID is correct to permanently remove a conversation. Requires edit permission. |
| `DOCSBOT_AI_DELETE_LEAD` | Delete Lead | Tool to delete a specific lead by ID. Use after confirming the lead ID to permanently remove a lead record from the system. |
| `DOCSBOT_AI_DELETE_QUESTION` | Delete Question | Tool to delete a specific question from history. Use after confirming the question ID to permanently remove a question log entry from the system. |
| `DOCSBOT_AI_DELETE_SOURCE` | Delete Source | Tool to delete a specific source from a bot by its ID. Use after confirming the source ID is correct to permanently remove a source from the bot's knowledge base. |
| `DOCSBOT_AI_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a webhook (unsubscribe) by its ID. Use after confirming the webhook ID is correct to permanently remove a webhook subscription. |
| `DOCSBOT_AI_DOCSBOT_CONVERSATION_TICKET_CREATION` | Generate Conversation Ticket | Generates a structured support ticket from a Chat Agent conversation. Use this tool to convert an existing bot conversation into a formatted helpdesk ticket containing a subject line and message body written from the user's perspective. Prerequisites: - Requires a conversation created via the Chat Agent API (not the legacy Chat API) - Requires Standard plan or higher - The conversation must exist and be accessible with the provided credentials |
| `DOCSBOT_AI_GET_BOT` | Get Bot Details | Tool to fetch details of a specific bot by ID within a team. Use after confirming valid team and bot IDs. |
| `DOCSBOT_AI_GET_BOT_REPORTS` | Get Bot Monthly Reports | Tool to retrieve monthly statistical reports for a bot. Returns question resolution metrics for a selected month. Use this to analyze bot performance and track question resolution trends over time. |
| `DOCSBOT_AI_GET_BOT_STATS` | Get Bot Statistics | Tool to retrieve comprehensive statistics and analytics for a bot over a time period or date range. Returns key metrics (resolution rate, deflection rate, time saved), time series data for questions and ratings, distribution data for feedback and escalations, and agent mode conversation analytics. Use after confirming valid team and bot IDs from List Teams and List Bots actions. |
| `DOCSBOT_AI_GET_SOURCE` | Get Source Details | Tool to retrieve detailed information about a specific source by its ID. Use when you need complete metadata about a source including indexed URLs, FAQs, and processing status. |
| `DOCSBOT_AI_GET_TEAM` | Get Team Details | Tool to fetch details of a specific team by its ID. Use when you need full team info including members and settings after confirming the team ID. |
| `DOCSBOT_AI_GET_UPLOAD_URL` | Get Upload URL | Get a presigned upload URL for uploading files as sources. Use this before uploading large files to DocsBot. The workflow is: 1) Get upload URL, 2) Upload file to the URL, 3) Create source with the file path. |
| `DOCSBOT_AI_GET_WEBHOOK` | Get Webhook Details | Tool to retrieve details of a specific webhook by ID. Use when you need webhook configuration, delivery status, or subscription details. |
| `DOCSBOT_AI_LIST_BOTS` | List Team Bots | List all bots for a given team. Returns detailed information about each bot including configuration, statistics, and status. Use this action to discover available bots before performing operations like getting bot details or listing sources. |
| `DOCSBOT_AI_LIST_CONVERSATIONS` | List Bot Conversations | Tool to list conversation history for a bot with pagination. Returns a limited subset of conversation properties including titles, timestamps, sentiment, and status. Use this to discover conversations before retrieving full details. |
| `DOCSBOT_AI_LIST_LEADS` | List Bot Leads | Tool to list captured leads for a bot with pagination and date filtering. Use after confirming valid team and bot IDs. Example: "List leads for bot abc123 starting from 2024-01-01." |
| `DOCSBOT_AI_LIST_QUESTIONS` | List Questions | Tool to list all questions asked of a specific bot. Use after confirming the bot's identifier. Example: "List questions for bot abc123 with status 'unanswered'." |
| `DOCSBOT_AI_LIST_RESEARCH_JOBS` | List Research Jobs | Tool to list all deep research jobs for a bot with pagination support. Use after confirming valid team and bot IDs. Returns details about each research job including status, question, and timestamps. |
| `DOCSBOT_AI_LIST_SOURCES` | List Bot Sources | Retrieves a paginated list of all sources for a specific bot within a team. Sources are the content (URLs, files, sitemaps, etc.) that have been indexed for the bot's knowledge base. Use this to see what data sources a bot has been trained on. |
| `DOCSBOT_AI_LIST_TEAM_MEMBERS` | List Team Members | Tool to list all members of a team including their roles. Use when you need to see who has access to a team and their permission levels. |
| `DOCSBOT_AI_LIST_TEAMS` | List Teams | Tool to list all teams. Use when you need to retrieve every team associated with the authenticated user. |
| `DOCSBOT_AI_LIST_WEBHOOKS` | List Bot Webhooks | List all registered webhooks for a bot. Returns webhook configurations including target URLs, subscribed events, and status. Use this action to discover configured webhooks before creating, updating, or deleting them. |
| `DOCSBOT_AI_RATE_ANSWER` | Rate Answer | Tool to rate an answer from chat APIs as positive (1), neutral (0), or negative (-1). Use when recording user feedback on bot responses for statistics shown in chat logs. |
| `DOCSBOT_AI_REFRESH_SOURCE` | Refresh Source | Tool to refresh a source to re-index its content. Use when a source needs to be updated with the latest content from its origin. Only works with failed sources for retry purposes. |
| `DOCSBOT_AI_SEARCH_SEMANTIC` | Semantic Search Bot Content | Tool to perform semantic search on a bot's indexed content. Returns the most relevant source chunks for a query. Use when you need to search the bot's knowledge base without triggering a full conversation. |
| `DOCSBOT_AI_TEST_ESCALATED_WEBHOOK` | Test Escalated Webhook | Tool to trigger a test delivery of the conversation.escalated webhook. Use to verify webhook configuration is working correctly. |
| `DOCSBOT_AI_TEST_LEAD_WEBHOOK` | Test Lead Webhook | Tool to trigger a test lead webhook delivery. Use when you need to test webhook integration for lead capture events. Requires owner or admin permissions. |
| `DOCSBOT_AI_TEST_RESEARCH_WEBHOOK` | Test Research Webhook | Tool to trigger a deep research webhook delivery test. Use to verify webhook configurations are working correctly. |
| `DOCSBOT_AI_TRIGGER_RATED_WEBHOOK_TEST` | Trigger Rated Webhook Test | Tool to trigger a conversation.rated webhook delivery test for a specific bot. Use when you need to test webhook integration for conversation rating events. |
| `DOCSBOT_AI_UPDATE_BOT` | Update Bot | Update a bot's configuration settings such as name, description, model, temperature, and appearance. Only fields provided in the request will be modified; omitted fields remain unchanged. Requires valid team_id and bot_id. Use LIST_BOTS to find available bot IDs first. |
| `DOCSBOT_AI_UPDATE_TEAM` | Update Team | Tool to update specific fields for a team. Use after confirming the team ID when you need to change the team's name or OpenAI API key. Returns the updated team record. |
| `DOCSBOT_AI_UPDATE_WEBHOOK` | Update Webhook | Tool to update a webhook's status, target URL, label, or expiration date. Use when you need to modify webhook configuration. Requires valid team_id, bot_id, and webhook_id. Only provided fields will be updated. |
| `DOCSBOT_AI_UPLOAD_FILE_TO_CLOUD_STORAGE` | Upload File to Cloud Storage | Upload a file to cloud storage via a presigned URL. Use this tool after obtaining a presigned upload URL from the DocsBot API (GET /teams/:teamId/bots/:botId/upload-url?fileName=FILENAME). The workflow is: 1. Get presigned URL from DocsBot upload-url endpoint 2. Use this tool to upload the file to the presigned URL 3. Create a source using the 'file' path returned from step 1 |

## 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 Docsbot ai Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Docsbot ai actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'List all unanswered questions for bot XYZ'
  }]
)
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: 'List all unanswered questions for bot XYZ'
  }],
});
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 Docsbot ai tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('List all bots for my Docsbot AI team')
        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: 'List all bots for my Docsbot AI team' }],
  stopWhen: stepCountIs(5)
});

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

## Why Use Composio?

### 1. AI Native Docsbot ai Integration

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

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke Docsbot ai 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 Docsbot ai
- Scoped, least privilege access to Docsbot ai resources
- Full audit trail of agent actions to support review and compliance

## Use Docsbot ai with any AI Agent Framework

Choose a framework you want to connect Docsbot ai with:

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

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## Frequently Asked Questions

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

Yes, Docsbot ai 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)