# How to integrate Basecamp MCP with Pydantic AI

```json
{
  "title": "How to integrate Basecamp MCP with Pydantic AI",
  "toolkit": "Basecamp",
  "toolkit_slug": "basecamp",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/basecamp/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/basecamp/framework/pydantic-ai.md",
  "updated_at": "2026-03-29T06:24:07.764Z"
}
```

## Introduction

This guide walks you through connecting Basecamp to Pydantic AI using the Composio tool router. By the end, you'll have a working Basecamp agent that can create a new project for client onboarding, add a to-do item to the marketing team, post a team-wide announcement in campfire chat through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a Basecamp account through Composio's Basecamp MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Basecamp with

- [ChatGPT](https://composio.dev/toolkits/basecamp/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/basecamp/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/basecamp/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/basecamp/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/basecamp/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/basecamp/framework/codex)
- [Cursor](https://composio.dev/toolkits/basecamp/framework/cursor)
- [VS Code](https://composio.dev/toolkits/basecamp/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/basecamp/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/basecamp/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/basecamp/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/basecamp/framework/cli)
- [Google ADK](https://composio.dev/toolkits/basecamp/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/basecamp/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/basecamp/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/basecamp/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/basecamp/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/basecamp/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 Basecamp
- 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 Basecamp 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 Basecamp MCP server, and what's possible with it?

The Basecamp MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Basecamp account. It provides structured and secure access so your agent can perform Basecamp operations on your behalf.

## Supported Tools

None listed.

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Basecamp MCP server is an implementation of the Model Context Protocol that connects your AI agent to Basecamp. It provides structured and secure access so your agent can perform Basecamp 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 Basecamp
- 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 Basecamp
- MCPServerStreamableHTTP connects to the Basecamp 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 Basecamp 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 Basecamp
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["basecamp"],
    )
    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 Basecamp endpoint
- The agent uses GPT-5 to interpret user commands and perform Basecamp operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
basecamp_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[basecamp_mcp],
    instructions=(
        "You are a Basecamp assistant. Use Basecamp 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
- Basecamp 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 Basecamp.\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 Basecamp
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["basecamp"],
    )
    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
    basecamp_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[basecamp_mcp],
        instructions=(
            "You are a Basecamp assistant. Use Basecamp 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 Basecamp.\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 Basecamp through Composio's Tool Router. With this setup, your agent can perform real Basecamp 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 + Basecamp 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 Basecamp MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/basecamp/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/basecamp/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/basecamp/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/basecamp/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/basecamp/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/basecamp/framework/codex)
- [Cursor](https://composio.dev/toolkits/basecamp/framework/cursor)
- [VS Code](https://composio.dev/toolkits/basecamp/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/basecamp/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/basecamp/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/basecamp/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/basecamp/framework/cli)
- [Google ADK](https://composio.dev/toolkits/basecamp/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/basecamp/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/basecamp/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/basecamp/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/basecamp/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/basecamp/framework/crew-ai)

## Related Toolkits

- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agent mail](https://composio.dev/toolkits/agent_mail) - Agent mail provides AI agents with dedicated email inboxes for sending, receiving, and managing emails. It empowers agents to communicate autonomously with people, services, and other agents—no human intervention needed.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Basecamp MCP?

With a standalone Basecamp MCP server, the agents and LLMs can only access a fixed set of Basecamp tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Basecamp 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 Basecamp tools.

### Can I manage the permissions and scopes for Basecamp while using Tool Router?

Yes, absolutely. You can configure which Basecamp 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 Basecamp data and credentials are handled as safely as possible.

---
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