How to integrate Rocketlane MCP with Pydantic AI

This guide walks you through connecting Rocketlane to Pydantic AI using the Composio tool router. By the end, you'll have a working Rocketlane agent that can create a new onboarding project for acme corp, log two hours to client implementation task, archive completed projects from last quarter through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Rocketlane account through Composio's Rocketlane MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Rocketlane

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Rocketlane is a collaborative customer onboarding and implementation platform for professional services teams. It streamlines project tracking, communication, and task management to accelerate client onboarding.

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Introduction

This guide will help you understand how to give your Pydantic AI agent real control over a Rocketlane account through Composio's Rocketlane MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Rocketlane with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

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 Rocketlane
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 Rocketlane 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 Rocketlane MCP server, and what's possible with it?

The Rocketlane MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Rocketlane account. It provides structured and secure access to your onboarding projects, tasks, and customer data, so your agent can perform actions like creating tasks, managing companies, tracking time entries, and handling project organization on your behalf.

Project and company management: Easily direct your agent to create new projects or companies, retrieve detailed company info, and keep your workspace organized.
Task creation and deletion: Have your agent add new tasks to any project or swiftly delete outdated tasks using their unique identifiers.
Time entry tracking: Log time spent on tasks or projects, review details, or delete time entries for accurate billing and reporting.
Custom field insights: Retrieve all available custom fields or fetch specific field details to tailor onboarding workflows to your needs.
Project archiving and cleanup: Archive completed projects for future reference or permanently delete projects when they're no longer needed, keeping your workspace tidy.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS

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

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard 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.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

bash

pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

composio connects your agent to external SaaS tools like Rocketlane
pydantic-ai lets you create structured AI agents with tool support
python-dotenv loads your environment variables securely from a .env file

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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

Import dependencies

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()

What's happening:

We load environment variables and import required modules
Composio manages connections to Rocketlane
MCPServerStreamableHTTP connects to the Rocketlane MCP server endpoint
Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

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 Rocketlane
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["rocketlane"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

What's happening:

We're creating a Tool Router session that gives your agent access to Rocketlane 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

Initialize the Pydantic AI Agent

python

# Attach the MCP server to a Pydantic AI Agent
rocketlane_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[rocketlane_mcp],
    instructions=(
        "You are a Rocketlane assistant. Use Rocketlane tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)

What's happening:

The MCP client connects to the Rocketlane endpoint
The agent uses GPT-5 to interpret user commands and perform Rocketlane operations
The instructions field defines the agent's role and behavior

Build the chat interface

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 Rocketlane.\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()

What's happening:

The agent reads input from the terminal and streams its response
Rocketlane API calls happen automatically under the hood
The model keeps conversation history to maintain context across turns

Run the application

python

if __name__ == "__main__":
    asyncio.run(main())

What's happening:

The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Rocketlane and Pydantic AI:

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 Rocketlane
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["rocketlane"],
    )
    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
    rocketlane_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[rocketlane_mcp],
        instructions=(
            "You are a Rocketlane assistant. Use Rocketlane 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 Rocketlane.\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 Rocketlane through Composio's Tool Router. With this setup, your agent can perform real Rocketlane 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 + Rocketlane for workflow automation)

This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

TOOLS

Supported Tools

Every Rocketlane action and event your agent gets out of the box.

Add Assignee To Task

Add assignees to a task by task ID.

Add Field Option

Tool to add a new option to a SINGLE_CHOICE or MULTIPLE_CHOICE field.

Add Followers To Task

Tool to add followers to a task by Id.

Add Members to Project

Tool to add team members to a project using the projectId.

Add Members to Conversation

Add members to a conversation in Rocketlane.

Archive Project by ID

Archives a specific project based on its unique identifier.

Create Comment

Tool to create a comment in Rocketlane.

Create Company

Creates a new company (account) in Rocketlane.

Create Conversation

Creates a new conversation in Rocketlane.

Create Field

Tool to create a custom field in Rocketlane.

Create Phase

Tool to create a new phase in a Rocketlane project.

Create Project

Tool to create a new project in Rocketlane.

Create Space

Creates a new space for a given project in Rocketlane.

Create Space Document

Tool to create a new space document in Rocketlane.

Create Task

Creates a new task.

Create Time Entry

Tool to create a new time entry in Rocketlane.

Delete Comment By ID

Tool to delete a comment by its ID.

Delete Conversation

Tool to delete a conversation by its unique identifier.

Delete Field

Tool to permanently delete a custom field using its unique identifier.

Delete Phase

Permanently delete a phase from the project using its unique identifier (phaseId).

Delete Project

This tool allows users to permanently delete a project in Rocketlane.

Delete Space

Tool to permanently delete a space from a project by its ID.

Delete Space Document

Tool to permanently delete a space document by its ID.

Delete Task By ID

Delete a specific task using its unique identifier (taskId).

Delete Time Entry by ID

Delete a specific time entry using its unique identifier (timeEntryId).

Get All Conversations

Tool to retrieve all conversations in Rocketlane.

Get All Fields

Retrieve all custom fields available in the system.

Get All Resource Allocations

Tool to retrieve all resource allocations from Rocketlane.

Get All Spaces

Tool to retrieve all spaces for a specific project in Rocketlane.

Get All Tasks

Tool to retrieve all tasks from Rocketlane with advanced filtering options.

Get All Time-Offs

Tool to retrieve all time-offs from Rocketlane with advanced filtering options.

Get Comments

Tool to retrieve all comments from Rocketlane.

Get Company

This tool retrieves detailed information about a specific company/account in Rocketlane by its ID.

Get Conversation

Tool to retrieve detailed information about a conversation by its ID.

Get Field By ID

Retrieve detailed information about a specific custom field using its unique identifier (fieldId).

Get Phase by ID

Tool to retrieve extensive information about a specific phase by its unique identifier.

Get Project by ID

Retrieves detailed information about a specific project using its unique identifier.

Get Space by ID

Tool to retrieve detailed information about a specific space using its unique identifier.

Get Task By Id

Retrieve extensive information about a specific task using the task's unique identifier (taskId).

Get Template By ID

Retrieve detailed information about a specific template using its unique identifier (templateId).

Get Time Entries

Tool to retrieve all time entries from Rocketlane.

Get Time Entry By ID

Retrieve detailed information about a specific time entry using its unique identifier (timeEntryId).

Get Time Entry Categories

Tool to retrieve time entry categories from Rocketlane.

Get User By ID

Retrieve detailed information about a specific user using their unique identifier (userId).

List Companies

This tool retrieves a list of all companies/accounts in Rocketlane.

List Currencies

Returns a predefined list of commonly used currencies since Rocketlane API doesn't provide a dedicated currencies endpoint.

List Project Phases

This tool retrieves a list of project phases from Rocketlane.

List Projects

This tool retrieves a list of all projects in the Rocketlane instance.

List Templates

This tool retrieves a list of all available templates in Rocketlane.

List Users

This tool retrieves all users in the Rocketlane instance.

Move Task To Given Phase

Tool to move a task to a different phase by task ID and phase ID.

Remove Assignees From Task

Tool to remove assignees from a task by its unique identifier.

Remove Dependencies From Task

Tool to remove dependencies from a task by ID.

Remove Followers From Task

Tool to remove followers from a task by task ID.

Remove Members from Conversation

Remove members from a conversation in Rocketlane.

Retrieve Subscription Details

Retrieves detailed information about the current subscription.

Search Invoices

Tool to retrieve all invoices from Rocketlane.

Search Time Entries

Tool to search time entries with filters in Rocketlane.

Search User By Email

Search User By Email Id.

Update Company

This tool updates an existing company/account in Rocketlane.

Update Conversation

Tool to update an existing conversation in Rocketlane by its ID.

Update Field

Tool to update field information by ID.

Update Field Option

Tool to update an existing option's label and color in a SINGLE_CHOICE or MULTIPLE_CHOICE field.

Update Phase

Tool to update phase information by phase ID.

Update Project By Id

Updates an existing project's details using its unique identifier.

Update Space

Tool to update space details by its unique identifier.

Update Space Document

Tool to update a space document's properties by its unique identifier in Rocketlane.

Update Task by ID

Tool to update task details by ID.

Update Time Entry by ID

Update existing time entry details using its unique identifier (timeEntryId).

FRAMEWORKS

How to build Rocketlane MCP Agent with another framework

OpenAI Agents SDK

Use Rocketlane MCP with OpenAI Agents SDK

Claude Agent SDK

Use Rocketlane MCP with Claude Agent SDK

Claude Code

Use Rocketlane MCP with Claude Code

Claude Cowork

Use Rocketlane MCP with Claude Cowork

Codex

Use Rocketlane MCP with Codex

OpenClaw

Use Rocketlane MCP with OpenClaw

Hermes

Use Rocketlane MCP with Hermes

CLI

Use Rocketlane MCP with CLI

Google ADK

Use Rocketlane MCP with Google ADK

LangChain

Use Rocketlane MCP with LangChain

Vercel AI SDK

Use Rocketlane MCP with Vercel AI SDK

Mastra AI

Use Rocketlane MCP with Mastra AI

LlamaIndex

Use Rocketlane MCP with LlamaIndex

CrewAI

Use Rocketlane MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Google Sheets

Oauth2

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

Oauth2Api Key

Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.

Airtable

Oauth2Api Key

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.

Asana

Oauth2

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.

FAQ

Frequently asked questions

With a standalone Rocketlane MCP server, the agents and LLMs can only access a fixed set of Rocketlane tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Rocketlane and many other apps based on the task at hand, all through a single MCP endpoint.

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 Rocketlane tools.

Yes, absolutely. You can configure which Rocketlane 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.

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 Rocketlane data and credentials are handled as safely as possible.

Start with Rocketlane.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Rocketlane tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Rocketlane MCP with Pydantic AI

Connect Rocketlane without auth hassles

Introduction

Also integrate Rocketlane with

TL;DR

What is Pydantic AI?

What is the Rocketlane MCP server, and what's possible with it?

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Create a Tool Router Session

Initialize the Pydantic AI Agent

Build the chat interface

Run the application

Complete Code

Conclusion

Supported Tools

How to build Rocketlane MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Google Sheets

Notion

Airtable

Asana

Frequently asked questions

What are the differences in Tool Router MCP and Rocketlane MCP?+

Can I use Tool Router MCP with Pydantic AI?+

Can I manage the permissions and scopes for Rocketlane while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Rocketlane.It takes 30 seconds.

Teams ship real agents on Composio