# How to integrate Daffy MCP with CrewAI ```json { "title": "How to integrate Daffy MCP with CrewAI", "toolkit": "Daffy", "toolkit_slug": "daffy", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/daffy/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/daffy/framework/crew-ai.md", "updated_at": "2026-05-06T08:08:05.218Z" } ``` ## Introduction This guide walks you through connecting Daffy to CrewAI 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 CrewAI 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) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Daffy connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Daffy - Build a conversational loop where your agent can execute Daffy operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## 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 agent to Daffy. It provides structured and secure access so your agent can perform Daffy operations on your behalf through a secure, permission-based interface. 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 Before starting, make sure you have: - Python 3.9 or higher - A Composio account and API key - A Daffy connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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 **What's happening:** - composio connects your agent to Daffy via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Daffy MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Daffy **What's happening:** - You create a Daffy only session through Composio - Composio returns an MCP HTTP URL that exposes Daffy tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["daffy"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["daffy"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to Daffy through Composio's Tool Router. The agent can perform Daffy operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## 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) ## 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 CrewAI? Yes, you can. CrewAI 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)