Use
COMPOSIOFOR YOU
Give Claude, Codex, or any harness secure access to 1700+ tools
CLI
One command to add tools and auth to your coding agent
Build
DEVELOPER PLATFORM
SDKs, tools, and auth for agents and backend apps
MCP GATEWAY
One managed MCP endpoint for all your tools and agents
ENTERPRISE
SSO, governance, and audit controls for deploying agents org-wide
Features
TRIGGERS
Start background agents from events across your connected apps
FIREWALLNEW
Blocks instructions hidden in tool results before your agent reads them
INSTANTNEW
Audio, video, search, browser and data tools, with no keys to manage
OPTIMIZATION
Lower cost per completed task with optimised tools and skills
FOR AGENTS
CLAUDE CODEX OPENCLAW CURSOR HERMES
BUILT FOR
OFFICE WORK SALES MARKETING PRODUCT & DESIGN CUSTOMER SUPPORT ENGINEERING HR & RECRUITING FINANCE & OPS E-COMMERCE CONTENT & MEDIA IT & SECURITY
ALL USE CASES
DOCS

How to integrate Airtable MCP with Autogen

Connect Autogen to Airtable MCP. Add new contacts from a signup list, create a project tracking table in workspace, and more using natural language, with authentication handled for you.

Get started for free Get a demo

Airtable

Oauth2Api Key

Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.

26 Tools6 Triggers

Managed auth

Connect Airtable without auth hassles

We manage OAuth, API keys, token refresh, and scopes — you just build.

Book a call

Explore the MCP Gateway

Introduction

This guide walks you through connecting Airtable to AutoGen using the Composio tool router. By the end, you'll have a working Airtable agent that can create and update records, build bases and tables, manage fields, add comments, and upload attachments through natural language commands.

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

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

TL;DR

Here's what you'll learn:

Get and set up your OpenAI and Composio API keys
Install the required dependencies for Autogen and Composio
Initialize Composio and create a Tool Router session for Airtable
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Airtable tools
Run a live chat loop where you ask the agent to perform Airtable operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

Multi-Agent Systems: Build collaborative agent workflows
MCP Workbench: Native support for Model Context Protocol tools
Streaming HTTP: Connect to external services through streamable HTTP
AssistantAgent: Pre-built agent class for tool-using assistants

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

The Airtable MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Airtable account. It provides structured and secure access to your bases, table structures, records, and account details, so your agent can inspect bases, retrieve records, create entries, and update data on your behalf.

Base discovery: Have your agent list the Airtable bases available to your connected account.
Table and field inspection: Let the agent review a base’s tables, fields, field types, and configurations before working with its data.
Record retrieval: Direct your agent to fetch a specific record when you need its latest field values.
Natural language record creation: Instruct your agent to turn a plain-language request into a new Airtable record or create several records at once.
Targeted record updates: Have your agent modify selected fields in one or several existing records while preserving the remaining data.

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

You will need:

A Composio API key
An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
A Airtable account you can connect to Composio
Some basic familiarity with Autogen and Python async

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 python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

composio connects your agent to Airtable via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

Set up environment variables

bash

COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

COMPOSIO_API_KEY is required to talk to Composio
OPENAI_API_KEY is used by Autogen's OpenAI client
USER_ID is how Composio identifies which user's Airtable connections to use

Import dependencies and create Tool Router session

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Airtable session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["airtable"]
    )
    url = session.mcp.url

What's happening:

load_dotenv() reads your .env file
Composio(api_key=...) initializes the SDK
create(...) creates a Tool Router session that exposes Airtable tools
session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python

# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

url points to the Tool Router MCP endpoint from Composio
timeout is the HTTP timeout for requests
sse_read_timeout controls how long to wait when streaming responses
terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python

# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Airtable assistant agent with MCP tools
    agent = AssistantAgent(
        name="airtable_assistant",
        description="An AI assistant that helps with Airtable operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

OpenAIChatCompletionClient wraps the OpenAI model for Autogen
McpWorkbench connects the agent to the MCP tools
AssistantAgent is configured with the Airtable tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Airtable related question or task to the agent.\n")

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

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

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

What's happening:

The script prompts you in a loop with You:
Autogen passes your input to the model, which decides which Airtable tools to call via MCP
agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Airtable and AutoGen:

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Airtable session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["airtable"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Airtable assistant agent with MCP tools
        agent = AssistantAgent(
            name="airtable_assistant",
            description="An AI assistant that helps with Airtable operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Airtable related question or task to the agent.\n")

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

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

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Airtable through Composio's Tool Router and MCP. From here you can:

Add more toolkits to the toolkits list, for example notion or hubspot
Refine the agent description to point it at specific workflows
Wrap this script behind a UI, Slack bot, or internal tool

Once the pattern is clear for Airtable, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

TOOLS & TRIGGERS

Supported Tools and Triggers

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

Create base

Creates a new Airtable base with specified tables and fields within a workspace.

Create Comment

Tool to create a comment on a specific Airtable record.

Create Field

Creates a new field within a specified table in an Airtable base.

Create Record From Natural Language

Creates an Airtable record from a natural language description using the table schema and an LLM-generated field payload.

Create records

Tool to create multiple records (up to 10) in a specified Airtable table.

Create table

Creates a table in an existing Airtable base with a specified name, description, and field structure.

Delete Comment

Tool to delete a comment from a record in an Airtable table.

Delete multiple records

Tool to delete up to 10 specified records from a table within an Airtable base.

Delete Record

Permanently deletes a specific record from an existing table within an existing Airtable base.

Get Attachment Info

Retrieves attachment metadata and download URLs from a specified Airtable record field, including sizes, types, and thumbnails when available; attachment URLs expire 2 hours after retrieval.

Get Base Metadata

Retrieves basic metadata for one Airtable base.

Get Base Schema

Retrieves the detailed schema for a specified Airtable base, including its tables, fields, field types, and configurations, using the `baseId`.

Get Record

Retrieves a specific record from an Airtable table by its record ID.

Get user information

Retrieves information, such as ID and permission scopes, for the currently authenticated Airtable user from the `/meta/whoami` endpoint.

List bases

Lists a page of Airtable bases accessible to the authenticated token.

List Comments

Tool to list comments on a specific Airtable record.

List records

Tool to list records from an Airtable table with filtering, sorting, and pagination.

Update Comment

Tool to update an existing comment on a specific Airtable record.

Update Field

Updates a field's name or description in an Airtable table.

Update multiple records

Tool to update up to 10 records in an Airtable table with selective field modifications.

Update multiple records (PUT)

Tool to destructively update multiple records in Airtable using PUT, clearing unspecified fields.

Update record

Modifies specified fields of an existing record in an Airtable base and table; the base, table, and record must exist.

Update record (PUT)

Updates an existing record in an Airtable base using PUT method.

Update Table

Updates the name, description, and/or date dependency settings of a table in Airtable.

Upload attachment

Uploads a file attachment to a specified field in an Airtable record.

Who Am I

Returns the connected Airtable account's user ID and, when available, email address.

FRAMEWORKS

How to build Airtable MCP Agent with another framework

Claude Code

Use Airtable MCP with Claude Code

Cursor

Use Airtable MCP with Cursor

ChatGPT

Use Airtable MCP with ChatGPT

Claude Cowork

Use Airtable MCP with Claude Cowork

Antigravity

Use Airtable MCP with Antigravity

OpenAI Agents SDK

Use Airtable MCP with OpenAI Agents SDK

Claude Agent SDK

Use Airtable MCP with Claude Agent SDK

Grok Bot

Use Airtable MCP with Grok Bot

Muse

Use Airtable MCP with Muse

Codex

Use Airtable MCP with Codex

Grok Build

Use Airtable MCP with Grok Build

VS Code

Use Airtable MCP with VS Code

OpenCode

Use Airtable MCP with OpenCode

OpenClaw

Use Airtable MCP with OpenClaw

Hermes

Use Airtable MCP with Hermes

Atomic Agent

Use Airtable MCP with Atomic Agent

Google ADK

Use Airtable MCP with Google ADK

LangChain

Use Airtable MCP with LangChain

Vercel AI SDK

Use Airtable MCP with Vercel AI SDK

Mastra AI

Use Airtable MCP with Mastra AI

LlamaIndex

Use Airtable MCP with LlamaIndex

CrewAI

Use Airtable MCP with CrewAI

Pydantic AI

Use Airtable MCP with Pydantic AI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Google Sheets

Oauth2

Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.

Notion

Oauth2Api Key

Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.

Asana

Oauth2

Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.

Google Tasks

Oauth2

Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.

FAQ

Frequently asked questions

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

Yes, you can. Autogen 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 Airtable tools.

Yes, absolutely. You can configure which Airtable 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 Airtable data and credentials are handled as safely as possible.

Start with Airtable.It takes 30 seconds.

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

Start building

How to integrate Airtable MCP with Autogen

Connect Airtable without auth hassles

Introduction

Also integrate Airtable with

TL;DR

What is AutoGen?

What is the Airtable 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 and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

Supported Tools and Triggers

How to build Airtable MCP Agent with another framework

Claude Code

Cursor

ChatGPT

Claude Cowork

Antigravity

OpenAI Agents SDK

Claude Agent SDK

Grok Bot

Muse

Codex

Grok Build

VS Code

OpenCode

OpenClaw

Hermes

Atomic Agent

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Pydantic AI

Explore Other Toolkits

Google Sheets

Notion

Asana

Google Tasks

Frequently asked questions

What are the differences in Tool Router MCP and Airtable MCP?

Can I use Tool Router MCP with Autogen?

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

How safe is my data with Composio Tool Router?

Start with Airtable.It takes 30 seconds.