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How to integrate Basin MCP with Autogen

Connect Autogen to Basin MCP. Create a new form for event signups, delete an old feedback form from project, and more using natural language, with authentication handled for you.

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Basin is a no-code form backend for quickly setting up reliable contact forms. It lets you collect and manage form submissions without writing any server-side code.

19 Tools

Introduction

This guide walks you through connecting Basin to AutoGen using the Composio tool router. By the end, you'll have a working Basin agent that can create and update forms, fetch form submissions, delete submissions, organize forms into projects, and set up webhooks through natural language commands.

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

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

Also integrate Basin with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAIPydantic AI

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 Basin
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Basin tools
  • Run a live chat loop where you ask the agent to perform Basin 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 Basin MCP server, and what's possible with it?

The Basin MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Basin account. It provides structured and secure access to your projects, forms, submissions, domains, and webhooks, so your agent can create forms, manage projects, review submissions, configure webhooks, and inspect form activity on your behalf.

  • Project and form management: Have your agent create, update, list, inspect, or delete Basin projects and forms.
  • Submission review and cleanup: Instruct your agent to search, filter, sort, review, and permanently delete form submissions.
  • Webhook configuration: Let the agent create, inspect, update, list, or delete webhooks associated with your forms.
  • Form configuration and activity: Direct your agent to retrieve form settings, notification and security options, branding details, submission counts, and form views.
  • Custom domain lookup: Have your agent list the custom domains associated with your Basin account.

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:

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

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Basin account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

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.
3

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 Basin via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

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 Basin connections to use
5

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 Basin session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["basin"]
    )
    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 Basin tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

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
7

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 Basin assistant agent with MCP tools
    agent = AssistantAgent(
        name="basin_assistant",
        description="An AI assistant that helps with Basin 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 Basin tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Basin 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 Basin 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 Basin 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 Basin session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["basin"]
    )
    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 Basin assistant agent with MCP tools
        agent = AssistantAgent(
            name="basin_assistant",
            description="An AI assistant that helps with Basin 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 Basin 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 Basin 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 Basin, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Create Form

Tool to create a new form in Basin.

Create Form Webhook

Tool to create a new webhook for a specific form.

Create Project

Tool to create a new Basin project.

Delete Form

Tool to delete a form.

Delete Project

Deletes a Basin project by ID.

Delete Submission

Tool to permanently delete a form submission by its ID.

Delete Webhook

Tool to delete a specific webhook.

Get Domains

Tool to retrieve a list of all custom domains associated with the Basin account.

Get Form Details

Retrieves comprehensive details about a specific Basin form including configuration, notification settings, security options, branding, webhooks, and submission counts.

Get Forms

Retrieves a list of all Basin forms with their configuration and metadata.

Get Form Webhook

Tool to retrieve details of a specific form webhook by its ID.

Get Project Details

Tool to retrieve detailed information about a specific project.

Get Projects

Retrieves a list of Basin projects from your account.

Get Submissions

Retrieve form submissions from Basin with optional filtering, sorting, and search capabilities.

Get Webhooks

Retrieve webhooks for a specific form by form ID, with optional page and search parameters.

List Form Views

Lists legacy Form Builder (Form.

Update Form

Tool to update an existing Basin form by ID.

Update Project

Tool to update details of an existing project.

Update Webhook

Tool to update settings of an existing webhook for a form.

FRAMEWORKS

How to build Basin MCP Agent with another framework

Claude Code logo

Claude Code

Use Basin MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Basin MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Basin MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Basin MCP with Claude Agent SDK

Codex logo

Codex

Use Basin MCP with Codex

OpenClaw logo

OpenClaw

Use Basin MCP with OpenClaw

Hermes logo

Hermes

Use Basin MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Basin MCP with Atomic Agent

Google ADK logo

Google ADK

Use Basin MCP with Google ADK

LangChain logo

LangChain

Use Basin MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Basin MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Basin MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Basin MCP with LlamaIndex

CrewAI logo

CrewAI

Use Basin MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Basin MCP with Pydantic AI

FAQ

Frequently asked questions

With a standalone Basin MCP server, the agents and LLMs can only access a fixed set of Basin tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Basin 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 Basin tools.

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

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