How to integrate Affinda MCP with CrewAI

This guide walks you through connecting Affinda to CrewAI using the Composio tool router. By the end, you'll have a working Affinda agent that can extract invoice data from uploaded pdf, delete a document no longer needed, create a new tag for hr documents through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Affinda account through Composio's Affinda MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Affinda

Api Key

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.

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Introduction

This guide will help you understand how to give your CrewAI agent real control over a Affinda account through Composio's Affinda MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Affinda with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex

TL;DR

Here's what you'll learn:

Get a Composio API key and configure your Affinda connection
Set up CrewAI with an MCP enabled agent
Create a Tool Router session or standalone MCP server for Affinda
Build a conversational loop where your agent can execute Affinda 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 Affinda MCP server, and what's possible with it?

The Affinda MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Affinda account. It provides structured and secure access to your document processing workflows, so your agent can upload files, extract data, organize workspaces, label documents, and automate annotation management on your behalf.

AI-powered document upload and extraction: Instantly have your agent upload new documents for parsing and extract structured data from various formats using Affinda's advanced AI models.
Workspace and collection management: Let your agent create, group, and organize documents into collections and workspaces, keeping your document processing streamlined and organized.
Automated annotation updates: Empower your agent to batch update or modify multiple document annotations in a single request, saving you time on manual corrections.
Document tagging and organization: Direct your agent to create tags and label documents, making it easy to categorize and quickly retrieve important files.
Effortless cleanup and resource management: Have your agent delete unwanted documents or collections, ensuring your Affinda account stays tidy and relevant at all times.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS

Prerequisites

Before starting, make sure you have:

Python 3.9 or higher
A Composio account and API key
A Affinda connection authorized in Composio
An OpenAI API key for the CrewAI LLM
Basic familiarity with Python

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard 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.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

bash

pip install composio crewai crewai-tools[mcp] python-dotenv

What's happening:

composio connects your agent to Affinda via MCP
crewai provides Agent, Task, Crew, and LLM primitives
crewai-tools[mcp] includes MCP helpers
python-dotenv loads environment variables from .env

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

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

Import dependencies

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")

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 Affinda MCP URL

Create a Composio Tool Router session for Affinda

python

composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["affinda"])

url = session.mcp.url

What's happening:

You create a Affinda only session through Composio
Composio returns an MCP HTTP URL that exposes Affinda tools

Initialize the MCP Server

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,
    )

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.

Create a CLI Chatloop and define the Crew

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")

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.

Complete Code

Here's the complete code to get you started with Affinda and CrewAI:

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=["affinda"],
)
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 Affinda through Composio's Tool Router. The agent can perform Affinda 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

TOOLS

Supported Tools

Every Affinda action and event your agent gets out of the box.

Add Tag to Documents

Tool to add a tag to multiple documents in a single operation.

Batch Update Annotations

Batch update multiple document annotations in a single API call.

Create API User

Tool to create a new API user within an organization.

Batch Create Annotations

Batch create multiple document annotations in a single API call.

Create Collection

Tool to create a new collection.

Create Data Field For Collection

Tool to create a data field for a collection along with a new data point.

Create Data Source

Tool to create a custom mapping data source.

Create Data Source Value

Tool to add a new value to a mapping data source.

Create Document

Upload a document to Affinda for parsing and data extraction.

Create Document Type

Tool to create a new document type in the specified organization.

Create Extractor

Tool to create a new extractor.

Create Document from Data

Create a document from structured resume or job description data for Search & Match.

Create Index

Tool to create a new index for search and match functionality.

Create Invitation

Tool to create a new organization invitation.

Create Job Description Search

Search through parsed job descriptions using custom criteria or resume matching.

Create Job Description Search Embed URL

Tool to create and return a signed URL for the embeddable job description search tool.

Create Organization

Tool to create a new organization.

Create RESTHook Subscription

Tool to create a new RESTHook subscription.

Create Resume Search

Tool to search through parsed resumes using three methods: match to a job description, match to a resume, or custom criteria.

Create Resume Search Embed URL

Tool to create and return a signed URL for the embeddable resume search tool.

Create Tag

Creates a new tag in the specified workspace.

Create Validation Result

Create a validation result for document annotations in Affinda.

Batch Create Validation Results

Batch create multiple validation results for document annotations in a single API call.

Create Workspace

Tool to create a new workspace.

Create Workspace Membership

Tool to add a user to a workspace by creating a membership.

Batch Delete Annotations

Batch delete multiple document annotations in a single API call.

Delete Collection

Permanently delete a collection from Affinda by its identifier.

Delete Data Source

Permanently delete a mapping data source from the database by its identifier.

Delete Data Source Value

Tool to delete a specific value from a mapping data source.

Delete Document

Tool to delete a specific document by its ID.

Delete Document Type

Tool to permanently delete a document type by its identifier.

Delete Index

Tool to permanently delete an index from Affinda by its name.

Delete Invitation

Tool to delete an invitation by its identifier.

Delete Organization

Permanently deletes an organization from Affinda.

Delete Resthook Subscription

Tool to delete a specific resthook subscription by ID.

Delete Tag

Permanently delete a tag from Affinda by its ID.

Delete Validation Results

Delete multiple validation results in a single API call.

Delete Workspace

Tool to delete a specific workspace by its ID.

Delete Workspace Membership

Tool to remove a user from a workspace by membership ID.

Get All API Users

Tool to retrieve a list of all API users.

Get All Document Splitters

Tool to get a list of all document splitters.

Get All Invitations

Tool to retrieve all invitations you created or sent to you.

Get Organization Memberships

Retrieve all organization memberships across the account.

Get Tags

Tool to list all tags.

Get All Validation Results

Tool to list validation results for documents.

Get Workspace Memberships

Retrieve all workspace memberships across the account.

Get Annotations

Retrieves all annotations for a specific document.

Get Collection

Tool to retrieve details of a specific collection by its ID.

Get Collections

Tool to retrieve a list of all collections.

Get Data Source

Tool to retrieve details of a specific mapping data source by its identifier.

Get Data Source Value

Tool to retrieve a specific value from a mapping data source.

Get Data Source Values

Tool to retrieve all values from a mapping data source.

Get Document

Retrieve full details and parsed data for a specific document by its identifier.

Get Document Redacted

Tool to retrieve the redacted version of a document as a PDF file.

Get Documents

Tool to retrieve a list of all documents.

Get Document Splitter

Tool to retrieve details of a specific document splitter by its identifier.

Get Document Type

Tool to retrieve details of a specific document type by its ID.

Get Document Type JSON Schema

Tool to generate a JSON schema from a document type by its identifier.

Get Document Type Pydantic Models

Tool to generate Pydantic model code from a document type's schema.

Get Document Types

Retrieve all document types accessible to the authenticated user.

Get Extractor

Tool to retrieve detailed information about a specific extractor by its identifier.

Get Extractors

Retrieve all extractors available for an organization.

Get Index Documents

Tool to retrieve all indexed documents for a specific index.

Get Invitation

Tool to retrieve details of a specific organization invitation by its identifier.

Get Job Description Search Config

Tool to get the configuration for the logged in user's embeddable job description search tool.

Get Mapping

Tool to retrieve a specific mapping by its identifier.

Get Organization

Tool to retrieve details of a specific organization by its ID.

Get Organization Membership

Tool to retrieve details of a specific organization membership by its ID.

Get Organizations

Retrieves all organizations accessible to the authenticated user.

Get Resthook Subscription

Tool to retrieve details of a specific resthook subscription by its ID.

Get RESTHook Subscriptions

Tool to retrieve a list of all RESTHook subscriptions.

Get Tag

Tool to retrieve details of a specific tag by its ID.

Get Usage by Workspace

Retrieves monthly document processing usage statistics for a specific workspace.

Get Workspace

Tool to retrieve details of a specific workspace by its ID.

Get Workspace Membership

Tool to retrieve details of a specific workspace membership by its ID.

Get Workspaces

Tool to retrieve a list of all workspaces.

List Data Points

Tool to retrieve all data points.

List Data Sources

Tool to retrieve the list of all custom mapping data sources.

List Indexes

Tool to retrieve a list of all search indexes.

List Mappings

Tool to retrieve the list of all custom data mappings.

List Occupation Groups

Tool to retrieve the list of searchable occupation groups.

List Resume Search Config

Tool to get the configuration for the logged in user's embeddable resume search tool.

List Resume Search Job Title Suggestions

Tool to get job title suggestions based on provided job title(s).

List Resume Search Skill Suggestions

Tool to get skill suggestions based on provided skills.

Remove Tag from Documents

Remove a tag from multiple documents in a single batch operation.

Replace Data Source Values

Tool to completely replace all values in a mapping data source.

Split Document Pages

Split a document into multiple documents by dividing its pages.

Update Annotation

Tool to update data of a single annotation in Affinda.

Update Collection

Tool to update specific fields of a collection.

Update Data Field For Collection

Tool to update a data field configuration for a collection's data point.

Update Data Source Value

Tool to update an existing value in a mapping data source.

Update Document

Tool to update specific fields of a document.

Update Document Data

Update parsed data for a resume or job description document in Affinda.

Update Document Type

Tool to update a document type by its identifier.

Update Extractor

Tool to update specific fields of an extractor.

Update Index

Tool to update the name of an existing search index.

Update Invitation

Tool to update an organization invitation's role.

Update Job Description Search Config

Tool to update the configuration for the logged in user's embeddable job description search tool.

Update Mapping

Tool to update a specific mapping's settings.

Update Organization

Tool to update specific fields of an organization.

Update Organization Membership

Tool to update an organization membership's role.

Update RESTHook Subscription

Tool to update an existing RESTHook subscription.

Update Resume Search Config

Tool to update the configuration for the logged in user's embeddable resume search tool.

Update Tag

Tool to update data of a tag.

Update Workspace

Tool to update specific fields of a workspace.

FRAMEWORKS

How to build Affinda MCP Agent with another framework

OpenAI Agents SDK

Use Affinda MCP with OpenAI Agents SDK

Claude Agent SDK

Use Affinda MCP with Claude Agent SDK

Claude Code

Use Affinda MCP with Claude Code

Claude Cowork

Use Affinda MCP with Claude Cowork

Codex

Use Affinda MCP with Codex

OpenClaw

Use Affinda MCP with OpenClaw

Hermes

Use Affinda MCP with Hermes

CLI

Use Affinda MCP with CLI

Google ADK

Use Affinda MCP with Google ADK

LangChain

Use Affinda MCP with LangChain

Vercel AI SDK

Use Affinda MCP with Vercel AI SDK

Mastra AI

Use Affinda MCP with Mastra AI

LlamaIndex

Use Affinda MCP with LlamaIndex

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Google Drive

Oauth2

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

Oauth2

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

Oauth2Api Key

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.

Agility cms

Api Key

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.

FAQ

Frequently asked questions

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

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 Affinda tools.

Yes, absolutely. You can configure which Affinda 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.

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 Affinda data and credentials are handled as safely as possible.

Start with Affinda.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Affinda tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Affinda MCP with CrewAI

Connect Affinda without auth hassles

Introduction

Also integrate Affinda with

TL;DR

What is CrewAI?

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

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Create a Composio Tool Router session for Affinda

Initialize the MCP Server

Create a CLI Chatloop and define the Crew

Complete Code

Conclusion

Supported Tools

How to build Affinda MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

Explore Other Toolkits

Google Drive

Google Docs

Google Super

Agility cms

Frequently asked questions

What are the differences in Tool Router MCP and Affinda MCP?+

Can I use Tool Router MCP with CrewAI?+

Can I manage the permissions and scopes for Affinda while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Affinda.It takes 30 seconds.

Teams ship real agents on Composio