# How to integrate Givebutter MCP with Pydantic AI ```json { "title": "How to integrate Givebutter MCP with Pydantic AI", "toolkit": "Givebutter", "toolkit_slug": "givebutter", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/givebutter/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/givebutter/framework/pydantic-ai.md", "updated_at": "2026-05-06T08:13:30.553Z" } ``` ## Introduction This guide walks you through connecting Givebutter to Pydantic AI 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 Pydantic AI 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: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Givebutter - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Givebutter workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## 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 agent to Givebutter. It provides structured and secure access so your agent can perform Givebutter 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 with an active API key - Basic familiarity with Python and async programming ### 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 the required libraries. What's happening: - composio connects your agent to external SaaS tools like Givebutter - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Givebutter - MCPServerStreamableHTTP connects to the Givebutter MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Givebutter tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Givebutter composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["givebutter"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Givebutter endpoint - The agent uses GPT-5 to interpret user commands and perform Givebutter operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent givebutter_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[givebutter_mcp], instructions=( "You are a Givebutter assistant. Use Givebutter tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Givebutter API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Givebutter.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Givebutter composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["givebutter"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent givebutter_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[givebutter_mcp], instructions=( "You are a Givebutter assistant. Use Givebutter tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Givebutter.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Givebutter through Composio's Tool Router. With this setup, your agent can perform real Givebutter actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Givebutter for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## 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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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 Pydantic AI? Yes, you can. Pydantic AI 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)