How to integrate Rocketlane MCP with LangChain

This guide walks you through connecting Rocketlane to LangChain 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 LangChain 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 LangChain 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 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
Connect your Rocketlane project to Composio
Create a Tool Router MCP session for Rocketlane
Initialize an MCP client and retrieve Rocketlane tools
Build a LangChain agent that can interact with Rocketlane
Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

Agent Framework: Build agents that can use tools and make decisions
MCP Integration: Connect to external services through Model Context Protocol adapters
Memory Management: Maintain conversation history across interactions
Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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 step10 STEPS

Prerequisites

Before starting this tutorial, make sure you have:

Python 3.10 or higher installed on your system
A Composio account with an API key
An OpenAI 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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

@composio/langchain provides Composio integration for LangChain
@langchain/mcp-adapters enables MCP client connections
@langchain/core is the core agent framework
dotenv/config loads environment variables

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates your requests to Composio's API
COMPOSIO_USER_ID identifies the user for session management
OPENAI_API_KEY enables access to OpenAI's language models

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();

What's happening:

We're importing LangChain's MCP adapter and Composio SDK
The dotenv/config import loads environment variables from your .env file
This setup prepares the foundation for connecting LangChain with Rocketlane functionality through MCP

Initialize Composio client

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

What's happening:

We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
Creating a Composio instance that will manage our connection to Rocketlane tools
Validating that COMPOSIO_USER_ID is also set before proceeding

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['rocketlane']
    }
);

const url = session.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
This approach allows the agent to dynamically load and use Rocketlane tools as needed

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "rocketlane-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });

What's happening:

We're creating a MultiServerMCPClient that connects to our Rocketlane MCP server via HTTP
The client is configured with a name and the URL from our Tool Router session
getTools() retrieves all available Rocketlane tools that the agent can use
We're creating a LangChain agent using the GPT-5 model

Set up interactive chat interface

let conversationHistory: any[] = [];

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

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

rl.prompt();

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

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

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

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

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

What's happening:

We initialize an empty conversationHistory list to maintain context across interactions
A readline interface is used to continuously accept user input from the command line
When a user types a message, it's added to the conversation history and sent to the agent
The agent processes the request using the invoke() method with the full conversation history
Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully

Run the application

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

What's happening:

We call the main() function to start the application

Complete Code

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

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['rocketlane']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "rocketlane-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Rocketlane related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Rocketlane through Composio's Tool Router.

Key features of this implementation:

Dynamic tool loading through Composio's Tool Router
Conversation history maintenance for context-aware responses
Async Python provides clean, efficient execution of agent workflows

You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

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

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OpenAI Agents SDK

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Claude Agent SDK

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Claude Code

Use Rocketlane MCP with Claude Code

Claude Cowork

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Codex

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OpenClaw

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Hermes

Use Rocketlane MCP with Hermes

CLI

Use Rocketlane MCP with CLI

Google ADK

Use Rocketlane MCP with Google ADK

Vercel AI SDK

Use Rocketlane MCP with Vercel AI SDK

Mastra AI

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LlamaIndex

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CrewAI

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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. LangChain 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.

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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 LangChain

Connect Rocketlane without auth hassles

Introduction

Also integrate Rocketlane with

TL;DR

What is LangChain?

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

Initialize Composio client

Create a Tool Router session

Configure the agent with the MCP URL

Set up interactive 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

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 LangChain?+

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