# How to integrate Givebutter MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Givebutter MCP with OpenAI Agents SDK",
  "toolkit": "Givebutter",
  "toolkit_slug": "givebutter",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/givebutter/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/givebutter/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-06T08:13:30.553Z"
}
```

## Introduction

This guide walks you through connecting Givebutter to the OpenAI Agents SDK 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 OpenAI Agents SDK 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

- [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 necessary dependencies
- Initialize Composio and create a Tool Router session for Givebutter
- Configure an AI agent that can use Givebutter as a tool
- Run a live chat session where you can ask the agent to perform Givebutter operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Givebutter project
- Some knowledge of Python or Typescript

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Givebutter.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only givebutter.
- The router checks the user's Givebutter connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Givebutter.
- This approach keeps things lightweight and lets the agent request Givebutter tools only when needed during the conversation.
```python
# Create a Givebutter Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["givebutter"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Givebutter
const session = await composio.create(userId as string, {
  toolkits: ['givebutter'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Givebutter. "
        "Help users perform Givebutter operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Givebutter. Help users perform Givebutter operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["givebutter"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Givebutter. "
        "Help users perform Givebutter operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['givebutter'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Givebutter. Help users perform Givebutter operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Givebutter MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Givebutter.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Givebutter MCP Agent with another framework

- [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

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- [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.
- [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 OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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.

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