# How to integrate Givebutter MCP with Autogen ```json { "title": "How to integrate Givebutter MCP with Autogen", "toolkit": "Givebutter", "toolkit_slug": "givebutter", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/givebutter/framework/autogen", "markdown_url": "https://composio.dev/toolkits/givebutter/framework/autogen.md", "updated_at": "2026-05-06T08:13:30.553Z" } ``` ## Introduction 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. ## Also integrate Givebutter with - [OpenAI Agents SDK](https://composio.dev/toolkits/givebutter/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/givebutter/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/givebutter/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/givebutter/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/givebutter/framework/codex) - [OpenClaw](https://composio.dev/toolkits/givebutter/framework/openclaw) - [Hermes](https://composio.dev/toolkits/givebutter/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/givebutter/framework/cli) - [Google ADK](https://composio.dev/toolkits/givebutter/framework/google-adk) - [LangChain](https://composio.dev/toolkits/givebutter/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/givebutter/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/givebutter/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/givebutter/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/givebutter/framework/crew-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 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. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `GIVEBUTTER_ARCHIVE_CONTACT` | Archive Contact | Tool to archive a contact by their id. use after ensuring the contact has no associated data (e.g., no transactions or communications). example: "archive contact abc123". | | `GIVEBUTTER_CREATE_CAMPAIGN` | Create Campaign | Tool to create a new campaign. use when you have title, description, goal, and type ready, after confirming your givebutter account is authenticated. | | `GIVEBUTTER_CREATE_WEBHOOK` | Create Webhook | Tool to create a new webhook subscription. use when you need to receive real-time notifications programmatically after confirming your endpoint can validate givebutter's signing secret. | | `GIVEBUTTER_DELETE_CAMPAIGN` | Delete Campaign | Tool to delete a campaign by its id. use after confirming the campaign has no funds raised. example: "delete campaign abc123". | | `GIVEBUTTER_DELETE_CONTACT` | Delete Contact | Tool to delete a contact by their id. use after confirming the contact has no associated data (e.g., no transactions or communications). example: "delete contact abc123". | | `GIVEBUTTER_DELETE_FUND` | Delete Fund | Tool to delete a fund by its id. use when you need to remove a fund after confirming it exists. example: "delete fund fund abc123". | | `GIVEBUTTER_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a webhook by its id. use when you need to remove an obsolete webhook after confirming no further events are needed. example: "delete webhook abc123". | | `GIVEBUTTER_GET_FUND` | Get Fund | Tool to retrieve details of a specific fund by its id. use after confirming the fund id is valid. | | `GIVEBUTTER_GET_MEMBERS` | Get Members | Tool to retrieve a paginated list of members for a given campaign. use when you need to list or process campaign members. | | `GIVEBUTTER_GET_PAYOUTS` | Get Payouts | Tool to retrieve a list of payouts associated with your account. use when you need to list withdrawal transactions after authentication. | | `GIVEBUTTER_GET_PLANS` | Get Plans | Tool to retrieve a list of plans associated with your account. use after authentication to fetch recurring donation plans. | | `GIVEBUTTER_GET_TEAMS` | Get Teams | Tool to retrieve a list of teams for a specific campaign. use after creating or updating a campaign when you need to list fundraising teams. example: "get teams for campaign camp123". | | `GIVEBUTTER_GET_TICKETS` | Get Tickets | Tool to retrieve a list of tickets. use when you need to list all tickets for your account after authentication. | | `GIVEBUTTER_GET_TRANSACTIONS` | Get Transactions | Tool to retrieve a list of transactions associated with your account. use when you need to list all donations and payments, optionally filtered by scope. | | `GIVEBUTTER_GET_WEBHOOKS` | Get Webhooks | Tool to retrieve all webhooks configured for your account. use after obtaining valid authentication. | | `GIVEBUTTER_UPDATE_CAMPAIGN` | Update Campaign | Tool to update an existing campaign's details by its id. use when you need to modify campaign attributes after creation. | | `GIVEBUTTER_UPDATE_CONTACT` | Update Contact | Tool to update an existing contact's details by contact id. use when modifying contact information after confirming the contact id. only provided fields will be updated. | | `GIVEBUTTER_UPDATE_WEBHOOK` | Update Webhook | Tool to update an existing webhook subscription's details. use when you need to modify a webhook's name, url, trigger events, or enabled state after confirming its id. example: "update webhook wh 1234567890 to point to https://example.com/hook, enable transaction.succeeded only." | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Givebutter MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Givebutter. Instead of manually wiring Givebutter APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. 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 ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies 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 ```bash pip install composio python-dotenv pip install autogen-agentchat autogen-ext-openai autogen-ext-tools ``` ### 3. Set up environment variables 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 ```bash COMPOSIO_API_KEY=your-composio-api-key OPENAI_API_KEY=your-openai-api-key USER_ID=your-user-identifier@example.com ``` ### 4. Import dependencies and create Tool Router session 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 ```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 ``` ### 5. Configure MCP parameters for Autogen 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 ```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")} ) ``` ### 6. Create the model client and agent 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 ```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 ) ``` ### 7. Run the interactive chat loop 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 ```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") ``` ## Complete Code ```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. ## How to build Givebutter MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/givebutter/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/givebutter/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/givebutter/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/givebutter/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/givebutter/framework/codex) - [OpenClaw](https://composio.dev/toolkits/givebutter/framework/openclaw) - [Hermes](https://composio.dev/toolkits/givebutter/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/givebutter/framework/cli) - [Google ADK](https://composio.dev/toolkits/givebutter/framework/google-adk) - [LangChain](https://composio.dev/toolkits/givebutter/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/givebutter/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/givebutter/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/givebutter/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/givebutter/framework/crew-ai) ## Related Toolkits - [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. 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Get accurate, up-to-date stats for thousands of digital assets in one place. - [Coupa](https://composio.dev/toolkits/coupa) - Coupa is a business spend management platform for procurement, invoicing, and expenses. It helps organizations streamline purchasing, control costs, and gain complete visibility over financial operations. - [CurrencyScoop](https://composio.dev/toolkits/currencyscoop) - CurrencyScoop is a developer-friendly API for real-time and historical currency exchange rates. Easily access fiat and crypto data for smart, up-to-date financial applications. - [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities. - [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation. - [Elorus](https://composio.dev/toolkits/elorus) - Elorus is an online invoicing and time-tracking software for freelancers and small businesses. Easily manage finances, bill clients, and track work in one place. - [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics. - [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses. - [Finage](https://composio.dev/toolkits/finage) - Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly. - [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place. - [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows. - [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Givebutter MCP? 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. ### Can I use Tool Router MCP with Autogen? 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. ### Can I manage the permissions and scopes for Givebutter while using Tool Router? 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. ### How safe is my data with Composio Tool Router? 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. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)