Rocketlane with AutoGen

How to integrate Rocketlane MCP with Autogen

Trusted by

GET STARTED FOR FREE GET A DEMO

30 min · no commitment · see it on your stack

Introduction Also integrate Rocketlane with TL;DR What is AutoGen What is the Rocketlane MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Rocketlane MCP Agent with another framework Explore Other Toolkits FAQ

Connect Rocketlane without Auth hassles

We manage OAuth, API Key, token refresh, and scopes, you just build.

Try for Free

Introduction

This guide walks you through connecting Rocketlane to AutoGen 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 AutoGen 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:

Get and set up your OpenAI and Composio API keys
Install the required dependencies for Autogen and Composio
Initialize Composio and create a Tool Router session for Rocketlane
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Rocketlane tools
Run a live chat loop where you ask the agent to perform Rocketlane operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

Multi-Agent Systems: Build collaborative agent workflows
MCP Workbench: Native support for Model Context Protocol tools
Streaming HTTP: Connect to external services through streamable HTTP
AssistantAgent: Pre-built agent class for tool-using assistants

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.

Supported Tools & Triggers

Tools

Add Assignee To TaskAdd assignees to a task by task ID.

Add Field OptionTool to add a new option to a SINGLE_CHOICE or MULTIPLE_CHOICE field.

Add Followers To TaskTool to add followers to a task by Id.

Add Members to ProjectTool to add team members to a project using the projectId.

Add Members to ConversationAdd members to a conversation in Rocketlane.

Archive Project by IDArchives a specific project based on its unique identifier.

Create CommentTool to create a comment in Rocketlane.

Create CompanyCreates a new company (account) in Rocketlane.

Create ConversationCreates a new conversation in Rocketlane.

Create FieldTool to create a custom field in Rocketlane.

Create PhaseTool to create a new phase in a Rocketlane project.

Create ProjectTool to create a new project in Rocketlane.

Create SpaceCreates a new space for a given project in Rocketlane.

Create Space DocumentTool to create a new space document in Rocketlane.

Create TaskCreates a new task.

Create Time EntryTool to create a new time entry in Rocketlane.

Delete Comment By IDTool to delete a comment by its ID.

Delete ConversationTool to delete a conversation by its unique identifier.

Delete FieldTool to permanently delete a custom field using its unique identifier.

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

Delete ProjectThis tool allows users to permanently delete a project in Rocketlane.

Delete SpaceTool to permanently delete a space from a project by its ID.

Delete Space DocumentTool to permanently delete a space document by its ID.

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

Delete Time Entry by IDDelete a specific time entry using its unique identifier (timeEntryId).

Get All ConversationsTool to retrieve all conversations in Rocketlane.

Get All FieldsRetrieve all custom fields available in the system.

Get All Resource AllocationsTool to retrieve all resource allocations from Rocketlane.

Get All SpacesTool to retrieve all spaces for a specific project in Rocketlane.

Get All TasksTool to retrieve all tasks from Rocketlane with advanced filtering options.

Get All Time-OffsTool to retrieve all time-offs from Rocketlane with advanced filtering options.

Get CommentsTool to retrieve all comments from Rocketlane.

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

Get ConversationTool to retrieve detailed information about a conversation by its ID.

Get Field By IDRetrieve detailed information about a specific custom field using its unique identifier (fieldId).

Get Phase by IDTool to retrieve extensive information about a specific phase by its unique identifier.

Get Project by IDRetrieves detailed information about a specific project using its unique identifier.

Get Space by IDTool to retrieve detailed information about a specific space using its unique identifier.

Get Task By IdRetrieve extensive information about a specific task using the task's unique identifier (taskId).

Get Template By IDRetrieve detailed information about a specific template using its unique identifier (templateId).

Get Time EntriesTool to retrieve all time entries from Rocketlane.

Get Time Entry By IDRetrieve detailed information about a specific time entry using its unique identifier (timeEntryId).

Get Time Entry CategoriesTool to retrieve time entry categories from Rocketlane.

Get User By IDRetrieve detailed information about a specific user using their unique identifier (userId).

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

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

List Project PhasesThis tool retrieves a list of project phases from Rocketlane.

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

List TemplatesThis tool retrieves a list of all available templates in Rocketlane.

List UsersThis tool retrieves all users in the Rocketlane instance.

Move Task To Given PhaseTool to move a task to a different phase by task ID and phase ID.

Remove Assignees From TaskTool to remove assignees from a task by its unique identifier.

Remove Dependencies From TaskTool to remove dependencies from a task by ID.

Remove Followers From TaskTool to remove followers from a task by task ID.

Remove Members from ConversationRemove members from a conversation in Rocketlane.

Retrieve Subscription DetailsRetrieves detailed information about the current subscription.

Search InvoicesTool to retrieve all invoices from Rocketlane.

Search Time EntriesTool to search time entries with filters in Rocketlane.

Search User By EmailSearch User By Email Id.

Update CompanyThis tool updates an existing company/account in Rocketlane.

Update ConversationTool to update an existing conversation in Rocketlane by its ID.

Update FieldTool to update field information by ID.

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

Update PhaseTool to update phase information by phase ID.

Update Project By IdUpdates an existing project's details using its unique identifier.

Update SpaceTool to update space details by its unique identifier.

Update Space DocumentTool to update a space document's properties by its unique identifier in Rocketlane.

Update Task by IDTool to update task details by ID.

Update Time Entry by IDUpdate existing time entry details using its unique identifier (timeEntryId).

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

Prerequisites

You will need:

A Composio API key
An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
A Rocketlane account you can connect to Composio
Some basic familiarity with Autogen and Python async

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 python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

composio connects your agent to Rocketlane via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

Set up environment variables

bash

COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

COMPOSIO_API_KEY is required to talk to Composio
OPENAI_API_KEY is used by Autogen's OpenAI client
USER_ID is how Composio identifies which user's Rocketlane connections to use

Import dependencies and create Tool Router session

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Rocketlane session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["rocketlane"]
    )
    url = session.mcp.url

What's happening:

load_dotenv() reads your .env file
Composio(api_key=...) initializes the SDK
create(...) creates a Tool Router session that exposes Rocketlane tools
session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python

# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

url points to the Tool Router MCP endpoint from Composio
timeout is the HTTP timeout for requests
sse_read_timeout controls how long to wait when streaming responses
terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python

# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Rocketlane assistant agent with MCP tools
    agent = AssistantAgent(
        name="rocketlane_assistant",
        description="An AI assistant that helps with Rocketlane operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

OpenAIChatCompletionClient wraps the OpenAI model for Autogen
McpWorkbench connects the agent to the MCP tools
AssistantAgent is configured with the Rocketlane tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Rocketlane related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

What's happening:

The script prompts you in a loop with You:
Autogen passes your input to the model, which decides which Rocketlane tools to call via MCP
agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
Typing exit, quit, or bye ends the loop

Complete Code

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

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Rocketlane session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["rocketlane"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Rocketlane assistant agent with MCP tools
        agent = AssistantAgent(
            name="rocketlane_assistant",
            description="An AI assistant that helps with Rocketlane operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Rocketlane related question or task to the agent.\n")

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

Conclusion

You now have an Autogen assistant wired into Rocketlane through Composio's Tool Router and MCP. From here you can:

Add more toolkits to the toolkits list, for example notion or hubspot
Refine the agent description to point it at specific workflows
Wrap this script behind a UI, Slack bot, or internal tool

Once the pattern is clear for Rocketlane, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

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

Explore Other Toolkits

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.

TOOLKIT MARKETPLACE

FAQ

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

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.

Can I use Tool Router MCP with Autogen?

Yes, you can. Autogen 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.

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

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.

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 Rocketlane data and credentials are handled as safely as possible.

Used by agents from

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

Get started for free Get a demo↗

Harsha GaddipatiCo-founder, Slashy

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

Abhi AryaCo-founder, Opennote

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 has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

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

Ryan YuFounder, Extra Thursday

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

Tomisin JenrolaFounder & CEO, SwarmZero

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

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

How to integrate Rocketlane MCP with Autogen

Table of Contents

Connect Rocketlane without Auth hassles

Introduction

Also integrate Rocketlane with

TL;DR

What is AutoGen?

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

Supported Tools & Triggers

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 and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

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

FAQ

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

Can I use Tool Router MCP with Autogen?

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

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability