How to integrate Roam MCP with LangChain

This guide walks you through connecting Roam to LangChain using the Composio tool router. By the end, you'll have a working Roam agent that can summarize unread roam team messages, send secure file to compliance channel, find recent chats about incident response through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Roam account through Composio's Roam MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Roam HQ is a secure messaging, chat, file sharing, and collaboration platform. It helps teams communicate with enterprise-grade security and compliance controls.

39 Tools

Introduction

This guide walks you through connecting Roam to LangChain using the Composio tool router. By the end, you'll have a working Roam agent that can summarize unread roam team messages, send secure file to compliance channel, find recent chats about incident response through natural language commands.

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

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

Also integrate Roam with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Roam project to Composio
  • Create a Tool Router MCP session for Roam
  • Initialize an MCP client and retrieve Roam tools
  • Build a LangChain agent that can interact with Roam
  • 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 Roam MCP server, and what's possible with it?

The Roam MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Roam account. It provides structured and secure access to your chats, messages, shared files, meeting links, and directory information, so your agent can post to chats, message groups, upload files, retrieve meeting links, and look up chat participants on your behalf.

  • Chat messaging: Have your agent post updates, announcements, or replies directly to a Roam chat.
  • Group communication: Direct your agent to send a message to selected recipients for team coordination and follow-ups.
  • File sharing: Let the agent upload a file to Roam so it can be shared as a chat attachment.
  • Meeting access: Instruct your agent to retrieve a Roam meeting link when you need to join or share a conversation.
  • Directory and schema lookup: Have your agent look up information about chat participants or retrieve a specific SCIM schema definition.

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:

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

Step-by-step Guide

Step by step10 STEPS
1

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
2

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.
3

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
4

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
5

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 Roam functionality through MCP
6

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 Roam tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

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

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Roam 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 Roam tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "roam-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 Roam MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Roam tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

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 Roam 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
10

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 Roam 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: ['roam']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "roam-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 Roam 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 Roam 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 Roam action and event your agent gets out of the box.

Add group members

Add one or more group members and/or admins to an existing Roam group.

Add Reaction to Message

Add an emoji reaction to a message in a chat.

Create Group

Create a group address that can be used for chat.

Create Roam SCIM Group

Tool to create a new group in your Roam organization using SCIM 2.

Create Roam User

Create a new user in Roam via SCIM 2.

Delete Roam Group

Archive a group in Roam using SCIM 2.

Delete Roam User

Archive a user in Roam using SCIM 2.

Get Address Info

Get information about a chat address, which is the name for any entity that may participate in a chat, such as a user, visitor, or bot.

Get chat history

Lists messages in a chat, filtered by date range (after/before).

Get meeting link

Tool to get a meeting link.

Get Roam SCIM Resource Types

Returns the list of SCIM 2.

Get SCIM service provider config

Tool to retrieve Roam's SCIM service provider configuration.

Get SCIM schema

Retrieves the definition of a specific SCIM 2.

Get user by ID (SCIM)

Tool to retrieve a single user by their Roam Person ID using SCIM 2.

Test API Connectivity

Test endpoint for API connectivity.

Get token info

Retrieves information about the current Roam access token.

Get user info

Get detailed information about a single user in your Roam workspace.

List Roam Chats

Lists all accessible chats, which consist of all DMs, MultiDMs, and Channels that your bot has been added to, in addition to all public channels.

List group members

List members in a group in your Roam workspace.

List SCIM Groups

Returns a paginated list of groups in your Roam organization via SCIM 2.

List Roam Lobbies

Lists active lobbies in your Roam account.

List Roam Meetings

Lists all meetings in your home Roam, filtered by date range.

List Roam Recordings

Tool to list all recordings in your home Roam.

List users (SCIM)

Tool to list users in your Roam organization using SCIM 2.

List SCIM Schemas

Tool to list all SCIM 2.

List Roam Transcripts

Lists all transcripts in your Roam workspace, filtered by date range.

List User Audit Log

Tool to get a list of user audit log entries for the account.

List Users

Tool to list all users in the Roam workspace.

Lookup user by email

Look up a user in your Roam workspace by their email address.

Patch a group

Partially updates a group using SCIM 2.

Patch user (SCIM)

Partially updates a user using SCIM 2.

Post message to chat

Post a message to a chat.

Remove group members

Tool to remove one or more members from a group in your Roam workspace.

Replace Roam SCIM Group

Fully replaces a group's attributes using SCIM 2.

Replace Roam User

Fully replaces (updates) a user's attributes in Roam via SCIM 2.

Send message to group

Sends the given message to the specified recipients.

Send Typing Indicator

Tool to notify other chat participants that you are typing.

Update a meeting link

Update settings for an existing meeting link in Roam.

Upload File to Roam

Upload a file to Roam so it can be sent as a chat attachment.

FRAMEWORKS

How to build Roam MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Roam MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Roam MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Roam MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Roam MCP with Claude Cowork

Codex logo

Codex

Use Roam MCP with Codex

OpenClaw logo

OpenClaw

Use Roam MCP with OpenClaw

Hermes logo

Hermes

Use Roam MCP with Hermes

CLI logo

CLI

Use Roam MCP with CLI

Google ADK logo

Google ADK

Use Roam MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Roam MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Roam MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Roam MCP with LlamaIndex

CrewAI logo

CrewAI

Use Roam MCP with CrewAI

FAQ

Frequently asked questions

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

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

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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.

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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.

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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.

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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.

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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.

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Co-Founder, Ingram Technologies