# How to integrate Daffy MCP with Autogen ```json { "title": "How to integrate Daffy MCP with Autogen", "toolkit": "Daffy", "toolkit_slug": "daffy", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/daffy/framework/autogen", "markdown_url": "https://composio.dev/toolkits/daffy/framework/autogen.md", "updated_at": "2026-05-06T08:08:05.218Z" } ``` ## Introduction This guide walks you through connecting Daffy to AutoGen using the Composio tool router. By the end, you'll have a working Daffy agent that can show your current daffy fund balance, list your donations from the past year, find nonprofits supporting animal welfare through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Daffy account through Composio's Daffy MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Daffy with - [OpenAI Agents SDK](https://composio.dev/toolkits/daffy/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/daffy/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/daffy/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/daffy/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/daffy/framework/codex) - [OpenClaw](https://composio.dev/toolkits/daffy/framework/openclaw) - [Hermes](https://composio.dev/toolkits/daffy/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/daffy/framework/cli) - [Google ADK](https://composio.dev/toolkits/daffy/framework/google-adk) - [LangChain](https://composio.dev/toolkits/daffy/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/daffy/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/daffy/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/daffy/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/daffy/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 Daffy - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Daffy tools - Run a live chat loop where you ask the agent to perform Daffy 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 Daffy MCP server, and what's possible with it? The Daffy MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Daffy account. It provides structured and secure access to your donor-advised fund, so your agent can check balances, make donations, search for nonprofits, and manage your giving history on your behalf. - Effortless charitable gifting and donations: Instruct your agent to create new charitable gifts, make donations, or send gifts to specific nonprofits right from your account. - Donation and contribution tracking: Have your agent pull detailed lists of your past donations and contributions, giving you a clear view of your giving activity and history. - Fund balance and account management: Let your agent check your current fund balance or retrieve your profile details, keeping you updated on your financial standing in Daffy. - Non-profit discovery and research: Ask your agent to search for nonprofits by name, cause, or EIN, and fetch detailed information about organizations you might want to support. - User causes and personalized insights: Enable your agent to list your preferred causes or explore your giving patterns to suggest new ways to maximize your charitable impact. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `DAFFY_CREATE_GIFT` | Create Gift | Tool to create a new charitable gift. use when you have recipient details and amount ready. | | `DAFFY_GET_BALANCE` | Get Balance | Tool to retrieve the authenticated user's fund balance. use after authenticating to confirm account funds. | | `DAFFY_GET_CONTRIBUTIONS` | Get Contributions | Tool to retrieve list of contributions to the authenticated user's fund. use when needing to paginate through contribution history. | | `DAFFY_GET_DONATIONS` | Get Donations | Tool to retrieve a list of donations for the authenticated user. use after authentication to fetch donation history. | | `DAFFY_GET_GIFT_BY_CODE` | Get Gift by Code | Tool to retrieve details of a specific gift by its unique code. use after obtaining the gift code. | | `DAFFY_GET_GIFTS` | Get Gifts | Tool to retrieve a list of gifts. use when you need to page or filter gifts. | | `DAFFY_GET_NON_PROFIT_BY_EIN` | Get Non-Profit by EIN | Tool to retrieve information about a non-profit organization by ein. use after confirming the correct nine-digit ein. | | `DAFFY_GET_USER_CAUSES` | Get User Causes | Tool to retrieve a list of causes for a specified user. use after confirming the user id is valid. | | `DAFFY_GET_USER_PROFILE` | Get User Profile | Tool to retrieve the authenticated user's profile. use when you need details about the current user's account. | | `DAFFY_SEARCH_NON_PROFITS` | Search Non-Profits | Tool to search non-profit organizations by cause id and query text. use when you need to find nonprofits matching a search term or a specific cause. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Daffy MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Daffy. Instead of manually wiring Daffy 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 Daffy 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 Daffy 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 Daffy 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 Daffy 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 Daffy session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["daffy"] ) 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 Daffy 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 Daffy assistant agent with MCP tools agent = AssistantAgent( name="daffy_assistant", description="An AI assistant that helps with Daffy 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 Daffy 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 Daffy 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 Daffy session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["daffy"] ) 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 Daffy assistant agent with MCP tools agent = AssistantAgent( name="daffy_assistant", description="An AI assistant that helps with Daffy 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 Daffy 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 Daffy 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 Daffy, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Daffy MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/daffy/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/daffy/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/daffy/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/daffy/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/daffy/framework/codex) - [OpenClaw](https://composio.dev/toolkits/daffy/framework/openclaw) - [Hermes](https://composio.dev/toolkits/daffy/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/daffy/framework/cli) - [Google ADK](https://composio.dev/toolkits/daffy/framework/google-adk) - [LangChain](https://composio.dev/toolkits/daffy/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/daffy/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/daffy/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/daffy/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/daffy/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. Trusted by businesses for secure, efficient, and scalable payment processing worldwide. - [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - 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](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management. - [Benzinga](https://composio.dev/toolkits/benzinga) - Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly. - [Brex](https://composio.dev/toolkits/brex) - Brex provides corporate credit cards and spend management tailored for startups and tech businesses. It helps optimize company cash flow, streamline accounting, and accelerate business growth. - [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow. - [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time. - [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone. - [Coinranking](https://composio.dev/toolkits/coinranking) - Coinranking is a comprehensive cryptocurrency market data platform offering access to real-time coin prices, market caps, and historical data. 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. - [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. - [Flutterwave](https://composio.dev/toolkits/flutterwave) - Flutterwave is a global payments platform enabling businesses to accept and send payments across Africa and beyond. Its robust APIs simplify cross-border transactions and financial operations. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Daffy MCP? With a standalone Daffy MCP server, the agents and LLMs can only access a fixed set of Daffy tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Daffy 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 Daffy tools. ### Can I manage the permissions and scopes for Daffy while using Tool Router? Yes, absolutely. You can configure which Daffy 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 Daffy 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)