How to integrate Givebutter MCP with Autogen

This guide walks you through connecting Givebutter to AutoGen using the Composio tool router. By the end, you'll have a working Givebutter agent that can create a new fundraising campaign for our school, list all recent payouts to our nonprofit account, get details for fund with id fund_abc123 through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Givebutter account through Composio's Givebutter MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Givebutter

Api Key

Givebutter is a fundraising platform with a free, open API for managing campaigns and donations. It helps organizations easily track giving, engage supporters, and streamline fundraising efforts.

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Introduction

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

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

Also integrate Givebutter with

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

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

The Givebutter MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Givebutter account. It provides structured and secure access to your fundraising platform, so your agent can perform actions like creating campaigns, tracking donations, managing contacts, and handling payouts on your behalf.

Campaign management and creation: Easily instruct your agent to start new fundraising campaigns, update campaign details, or remove old campaigns when needed.
Donation and payout tracking: Ask your agent to retrieve lists of payouts, monitor donation flows, and keep tabs on your fundraising progress in real time.
Contact and member administration: Let your agent add, archive, or delete contacts, and fetch lists of campaign members for smooth supporter management.
Fund and webhook operations: Direct your agent to get details about specific funds, create or remove webhooks for event notifications, and manage fundraising infrastructure automatically.
Automated data cleanup: Empower your agent to archive or delete obsolete contacts, funds, or webhooks, keeping your Givebutter account organized and up to date.

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 Givebutter 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 Givebutter 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 Givebutter 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 Givebutter session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["givebutter"]
    )
    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 Givebutter 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 Givebutter assistant agent with MCP tools
    agent = AssistantAgent(
        name="givebutter_assistant",
        description="An AI assistant that helps with Givebutter 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 Givebutter 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 Givebutter 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 Givebutter 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 Givebutter 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 Givebutter session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["givebutter"]
    )
    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 Givebutter assistant agent with MCP tools
        agent = AssistantAgent(
            name="givebutter_assistant",
            description="An AI assistant that helps with Givebutter 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 Givebutter 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 Givebutter 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 Givebutter, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

TOOLS

Supported Tools

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

Add Contact Tags

Tool to add tags to a contact by contact ID.

Add Household Contact

Tool to add a contact to a household.

Archive Contact

Tool to archive a contact by their ID.

Create Campaign

Tool to create a new campaign.

Create Campaign Ticket

Tool to create a campaign ticket for events or fundraisers.

Create Contact

Tool to create a new contact in Givebutter.

Create Contact Activity

Tool to create a contact activity (e.

Create Discount Code

Tool to create a discount code for a campaign.

Create Fund

Tool to create a new fund.

Create Household

Tool to create a new household in Givebutter.

Create Transaction

Tool to create a new transaction for a campaign.

Create Webhook

Tool to create a new webhook subscription.

Delete Campaign

Tool to delete a campaign by its ID.

Delete Contact Activity

Tool to delete a contact activity by contact ID and activity ID.

Delete Discount Code

Tool to delete a discount code from a campaign.

Delete Fund

Tool to delete a fund by its ID.

Delete Household

Tool to delete a household by its ID.

Delete Webhook

Tool to delete a webhook by its ID.

Get Campaign

Tool to retrieve details for a specific campaign by its ID or code.

Get Campaign Ticket

Tool to retrieve a specific campaign ticket by campaign ID and ticket ID.

Get Contact

Tool to retrieve details of a specific contact by ID.

Get Contact Activity

Tool to retrieve a specific contact activity by contact ID and activity ID.

Get Discount Code

Tool to retrieve details of a specific discount code for a campaign.

Get Fund

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

Get Household

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

Get Members

Tool to retrieve a paginated list of members for a given campaign.

Get Payouts

Tool to retrieve a list of payouts associated with your account.

Get Plans

Tool to retrieve a list of plans associated with your account.

Get Teams

Tool to retrieve a list of teams for a specific campaign.

Get Tickets

Tool to retrieve a list of tickets.

Get Transactions

Tool to retrieve a list of transactions associated with your account.

Get Webhook

Tool to retrieve a specific webhook by its ID.

Get Webhook Activity

Tool to retrieve a specific webhook activity by its ID.

Get Webhooks

Tool to retrieve all webhooks configured for your account.

List Campaigns

Tool to retrieve a paginated list of campaigns for the authenticated account.

List Campaign Tickets

Tool to retrieve a list of all campaign tickets for a specific campaign.

List Contact Activities

Tool to retrieve all activities for a specific contact.

List Contacts

Tool to retrieve a paginated list of contacts from your Givebutter account.

List Discount Codes

Tool to list all discount codes for a campaign.

List Funds

Tool to list all funds in your Givebutter account.

List Household Contacts

Tool to retrieve all contacts associated with a household.

List Households

Tool to retrieve a list of all households in your account.

List Messages

Tool to retrieve a paginated list of messages.

List Pledges

Tool to retrieve a paginated list of all pledges.

List Webhook Activities

Tool to list all webhook activities for a specific webhook.

Remove Contact Tags

Tool to remove tags from a contact in Givebutter.

Restore Contact

Tool to restore a deleted contact by contact ID.

Sync Contact Tags

Tool to sync tags for a contact.

Update Campaign

Tool to update an existing campaign's details by its ID.

Update Campaign (PUT)

Tool to update a campaign using PUT method.

Update Contact

Tool to update an existing contact's details by contact ID.

Update Contact Activity

Tool to update a contact activity by contact ID and activity ID.

Update Contact (PUT)

Tool to update a contact using PUT method.

Update Discount Code

Tool to update an existing discount code for a campaign.

Update Fund

Tool to update a fund's details by its ID.

Update Household

Tool to update an existing household's details by its ID.

Update Webhook

Tool to update an existing webhook subscription's details.

Update Webhook (PUT)

Tool to update a webhook using PUT method (full replacement).

FRAMEWORKS

How to build Givebutter MCP Agent with another framework

OpenAI Agents SDK

Use Givebutter MCP with OpenAI Agents SDK

Claude Agent SDK

Use Givebutter MCP with Claude Agent SDK

Claude Code

Use Givebutter MCP with Claude Code

Claude Cowork

Use Givebutter MCP with Claude Cowork

Codex

Use Givebutter MCP with Codex

OpenClaw

Use Givebutter MCP with OpenClaw

Hermes

Use Givebutter MCP with Hermes

CLI

Use Givebutter MCP with CLI

Google ADK

Use Givebutter MCP with Google ADK

LangChain

Use Givebutter MCP with LangChain

Vercel AI SDK

Use Givebutter MCP with Vercel AI SDK

Mastra AI

Use Givebutter MCP with Mastra AI

LlamaIndex

Use Givebutter MCP with LlamaIndex

CrewAI

Use Givebutter MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Stripe

Api KeyOauth2

Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide.

Alpha vantage

Api Key

Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions.

Altoviz

Api Key

Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management.

Benzinga

Api Key

Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly.

FAQ

Frequently asked questions

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

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

Start with Givebutter.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Givebutter 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 Givebutter MCP with Autogen

Connect Givebutter without auth hassles

Introduction

Also integrate Givebutter with

TL;DR

What is AutoGen?

What is the Givebutter 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

How to build Givebutter 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

CrewAI

Explore Other Toolkits

Stripe

Alpha vantage

Altoviz

Benzinga

Frequently asked questions

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

Can I use Tool Router MCP with Autogen?+

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

How safe is my data with Composio Tool Router?+

Start with Givebutter.It takes 30 seconds.

Teams ship real agents on Composio