How to integrate Intercom MCP with LlamaIndex

This guide walks you through connecting Intercom to LlamaIndex using the Composio tool router. By the end, you'll have a working Intercom agent that can add tag 'vip' to contact john doe, assign open conversation #123 to support team, create note for contact emily about refund through natural language commands. This guide will help you understand how to give your LlamaIndex agent real control over a Intercom account through Composio's Intercom MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Introduction

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

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

Also integrate Intercom with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI CrewAI

TL;DR

Here's what you'll learn:

Set your OpenAI and Composio API keys
Install LlamaIndex and Composio packages
Create a Composio Tool Router session for Intercom
Connect LlamaIndex to the Intercom MCP server
Build a Intercom-powered agent using LlamaIndex
Interact with Intercom through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

ReAct Agent: Reasoning and acting pattern for tool-using agents
MCP Tools: Native support for Model Context Protocol
Context Management: Maintain conversation context across interactions
Async Support: Built for async/await patterns

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

The Intercom MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Intercom account. It provides structured and secure access to your customer engagement platform, so your agent can perform actions like managing conversations, tagging contacts, creating articles, and updating company records on your behalf.

Conversation management and assignment: Let your agent assign conversations to teams or admins, create new conversations, and close them when resolved, streamlining your support workflow.
Contact tagging and note creation: Effortlessly tag contacts with relevant labels or add detailed notes for context, making customer follow-ups more organized and actionable.
Automated company and contact updates: Enable your agent to attach contacts to companies, create or update company records, and keep your Intercom data clean and up to date.
Article and collection creation: Let your agent publish new articles or create help center collections to expand your self-serve support resources without manual effort.
Subscription and message preferences management: Allow your agent to add or manage subscriptions for contacts, helping you personalize communication and respect user preferences automatically.

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 you begin, make sure you have:

Python 3.8/Node 16 or higher installed
A Composio account with the API key
An OpenAI API key
A Intercom account and project
Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Intercom

OpenAI API key (OPENAI_API_KEY)

Go to the OpenAI dashboard
Create an API key if you don't have one
Assign it to OPENAI_API_KEY in .env

Composio API key and user ID

Log into the Composio dashboard
Copy your API key from Settings
- Use this as COMPOSIO_API_KEY
Pick a stable user identifier (email or ID)
- Use this as COMPOSIO_USER_ID

Installing dependencies

npm install @composio/llamaindex @llamaindex/openai @llamaindex/tools @llamaindex/workflow dotenv

Create a new Typescript project and install the necessary dependencies:

@composio/llamaindex: Composio's LlamaIndex integration
@llamaindex/openai: OpenAI LLM integration
@llamaindex/tools: MCP client for LlamaIndex
@llamaindex/workflow: Workflow framework for LlamaIndex
dotenv: Environment variable management

Set environment variables

bash

OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

Authenticate with OpenAI's GPT-5 model
Connect to Composio's Tool Router
Identify your Composio user session for Intercom access

Import modules

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

Create a new file called intercom_llamaindex_agent.ts and import the required modules:

Key imports:

dotenv.config loads .env at runtime
readline gives us a simple CLI chat loop
Composio is the main Composio SDK client
mcp connects to an MCP endpoint
createAgent builds a LlamaIndex agent
openai configures the LLM backend

Load environment variables and initialize Composio

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!COMPOSIO_API_KEY) throw new Error("COMPOSIO_API_KEY is not set");
if (!COMPOSIO_USER_ID) throw new Error("COMPOSIO_USER_ID is not set");

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

Create a Tool Router session and build the agent function

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["intercom"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
        description : "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Intercom actions." ,
    llm,
    tools,
  });

  return agent;
}

What's happening here:

We create a Composio client using your API key and configure it with the LlamaIndex provider
We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, intercom)
The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
LlamaIndex will connect to this endpoint to dynamically discover and use the available Intercom tools.
The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.

Create an interactive chat loop

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

What's happening:

We're creating a direct terminal interface to chat with Intercom
The LLM's responses are streamed to the CLI for faster interaction.
The agent uses context to maintain conversation history
The agent processes the request, selects appropriate Intercom tools, and returns a result
We extract the answer from the result data structure and display it to the user
You can type 'quit' or 'exit' to stop the chat loop gracefully
Agent responses and any errors are streamed in a clear, readable format

Define the main entry point

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err) {
    console.error("Failed to start agent:", err);
    process.exit(1);
  }
}

main();

What's happening here:

We're orchestrating the entire application flow
The agent gets built with proper error handling
Then we kick off the interactive chat loop so you can start talking to Intercom

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with Intercom, then start asking questions.

Complete Code

Here's the complete code to get you started with Intercom and LlamaIndex:

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";
import { LlamaindexProvider } from "@composio/llamaindex";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) {
    throw new Error("OPENAI_API_KEY is not set in the environment");
  }
if (!COMPOSIO_API_KEY) {
    throw new Error("COMPOSIO_API_KEY is not set in the environment");
  }
if (!COMPOSIO_USER_ID) {
    throw new Error("COMPOSIO_USER_ID is not set in the environment");
  }

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["intercom"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
    description:
      "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Intercom actions." ,
    llm,
    tools,
  });

  return agent;
}

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err: any) {
    console.error("Failed to start agent:", err?.message ?? err);
    process.exit(1);
  }
}

main();

Conclusion

You've successfully connected Intercom to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:

Tool Router dynamically exposes Intercom tools through an MCP endpoint
LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
The agent becomes more capable without increasing prompt size
Async Python provides clean, efficient execution of agent workflows

You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.

TOOLS

Supported Tools

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

Add subscription to a contact

You can add a specific subscription to a contact.

Add tag to contact

Tool to add a tag to a contact in Intercom.

Archive contact

Tool to archive a single contact in Intercom.

Assign conversation

Assigns a conversation to a specific admin or team in Intercom.

Attach contact to company

Tool to attach a contact to a company in Intercom.

Attach contact to conversation

Tool to attach a contact participant to a conversation on behalf of admin or contact.

Attach tag to conversation

Tool to add a tag to a specific conversation in Intercom.

Attach tag to ticket

Tool to add a tag to a ticket in Intercom.

Block contact

Tool to block a single contact in Intercom.

Cancel data export

Tool to cancel an active content data export job.

Close conversation

Closes a conversation in Intercom, marking it as resolved.

Create a collection

You can create a new collection by making a POST request to `https://api.

Create an article

You can create a new article by making a POST request to `https://api.

Create a note

You can add a note to a single contact.

Create contact

Tool to create a new contact in Intercom workspace.

Create content import source

Tool to create a new content import source for the Fin Content Library.

Create conversation

Creates a new conversation in Intercom.

Create data attribute

Tool to create a custom data attribute for contacts or companies.

Create data event

Tool to submit a data event to Intercom to track user activities.

Create data export

Tool to initiate an async data export job for message content.

Create external page

Tool to create an external page in Fin Content Library or update an existing page by external ID.

Create help center section

Tool to create a new help center section within a collection.

Create internal article

Tool to create a new internal article for team knowledge sharing.

Create or update a company

You can create or update a company.

Create or update tag

Tool to create or update a tag, and optionally tag/untag companies or tag contacts.

Create ticket

Tool to create a ticket in Intercom to track customer requests and issues.

Create a ticket type

Tool to create a new ticket type that defines the data structure for tracking customer requests.

Create ticket type attribute

Tool to create a new attribute for a ticket type in Intercom.

Create event summaries

Tool to create event summaries for a user to track event occurrences.

Delete a collection

You can delete a single collection by making a DELETE request to `https://api.

Delete a company

You can delete a single company.

Delete an article

You can delete a single article by making a DELETE request to `https://api.

Delete a tag

Tool to delete a tag from Intercom workspace.

Delete a visitor

Tool to delete a visitor from the Intercom workspace.

Delete a contact

Tool to delete a contact from the Intercom workspace.

Delete content import source

Tool to delete a content import source and all its external pages.

Delete external page

Tool to delete an external page from content library and AI answers.

Delete internal article

Tool to delete a single internal article by ID.

Delete ticket

Tool to delete a ticket from the Intercom system.

Detach a contact from tag

Tool to remove a tag from a specific contact in Intercom.

Detach contact from company

Tool to detach a contact from a company in Intercom.

Detach tag from conversation

Tool to remove a tag from a specific conversation in Intercom.

Detach tag from ticket

Tool to remove a tag from a ticket in Intercom.

Download data export

Tool to download content data export from Intercom.

Enqueue create ticket

Tool to enqueue ticket creation for asynchronous processing.

Find a tag

Tool to retrieve details for a specific tag by its ID.

Get a contact

You can fetch the details of a single contact.

Get content import source

Tool to retrieve a content import source by its ID.

Get conversation

Retrieves a specific conversation by ID with all messages and details.

Get entity counts

Tool to retrieve summary counts for Intercom app entities including companies, users, leads, tags, segments, and conversations.

Get custom object instance by external ID

Tool to retrieve a custom object instance by its external_id.

Get external page

Tool to retrieve an external page from Fin Content Library by ID.

Get ticket

Tool to retrieve a ticket from Intercom.

Get a ticket type

Tool to retrieve details for a specific ticket type by its ID.

Identify an admin

You can view the currently authorised admin along with the embedded app object (a "workspace" in legacy terminology).

Retrieve job status

Tool to retrieve the status of job execution.

List all activity logs

You can get a log of activities by all admins in an app.

List all admins

You can fetch a list of admins for a given workspace.

List all articles

You can fetch a list of all articles by making a GET request to `https://api.

List all collections

You can fetch a list of all collections by making a GET request to `https://api.

List all companies

You can list companies.

List all help centers

You can list all Help Centers by making a GET request to `https://api.

List all macros

Tool to fetch a list of all macros (saved replies) in your workspace for use in automating responses.

List all notes

You can fetch a list of notes that are associated to a contact.

List attached companies for contact

You can fetch a list of companies that are associated to a contact.

List attached contacts

You can fetch a list of all contacts that belong to a company.

List attached segments for companies

You can fetch a list of all segments that belong to a company.

List attached segments for contact

You can fetch a list of segments that are associated to a contact.

List away status reasons

Tool to retrieve all away status reasons for a workspace including deleted ones.

List calls

Tool to list all phone calls from Intercom with pagination support.

List calls with transcripts

Tool to retrieve calls by conversation IDs with transcripts when available.

List company notes

Tool to list all notes associated with a specific company.

List all contacts

Tool to list all contacts (users or leads) in your Intercom workspace with pagination support.

List content import sources

Tool to retrieve all content import sources for the workspace.

List conversations

Lists all conversations from Intercom with pagination support.

List data attributes

Tool to list all data attributes for contacts, companies, and conversations.

List data events

Tool to retrieve a log of data events belonging to a customer.

List external pages

Tool to list all external pages from Fin Content Library.

List help center sections

Tool to fetch a list of all help center sections in descending order by updated_at.

List internal articles

Fetches one page of internal articles from Intercom.

List all news items

Tool to fetch a list of all news items from Intercom.

List all segments

Tool to retrieve all segments defined within a workspace for filtering and categorizing contacts.

List subscriptions for a contact

You can fetch a list of subscription types that are attached to a contact.

List subscription types

Tool to list all subscription types available in the workspace.

List all tags

Tool to fetch all tags for the workspace.

List tags attached to a contact

You can fetch a list of all tags that are attached to a specific contact.

List all teams

Tool to retrieve all teams within a workspace.

List all ticket states

Tool to fetch all ticket states for the workspace.

List all ticket types

Tool to retrieve all ticket types for the workspace.

Merge a lead and a user

You can merge a contact with a `role` of `lead` into a contact with a `role` of `user`.

Tool to register a Fin Voice call with Intercom.

Remove subscription from a contact

You can remove a specific subscription from a contact.

Remove tag from a contact

You can remove tag from a specific contact.

Reopen conversation

Reopens a closed conversation in Intercom.

Reply to ticket

Tool to reply to a ticket with a message from admin or contact, or with a note for admins.

Reply to conversation

Sends a reply to an existing conversation in Intercom.

Retrieve a collection

You can fetch the details of a single collection by making a GET request to `https://api.

Retrieve a company by id

You can fetch a single company.

Retrieve a help center

You can fetch the details of a single Help Center by making a GET request to `https://api.

Retrieve job status

Tool to retrieve the status of a data export job.

Retrieve a macro

Tool to fetch a single macro (saved reply) by its ID.

Retrieve an admin

You can retrieve the details of a single admin.

Retrieve an article

You can fetch the details of a single article by making a GET request to `https://api.

Retrieve a segment

Tool to retrieve details for a single segment by its ID.

Retrieve companies

You can fetch a single company by passing in `company_id` or `name`.

Retrieve internal article

Tool to retrieve an internal article by ID from Intercom.

Retrieve note

Tool to retrieve details of a single note by its identifier.

Retrieve a team

Tool to retrieve detailed information about a specific team by ID.

Retrieve visitor with user ID

Tool to retrieve a specific visitor's details using their user_id.

Scroll over all companies

The `list all companies` functionality does not work well for huge datasets, and can result in errors and performance problems when paging deeply.

Search contacts

Tool to search for contacts using query filters with operators.

Search conversations

Searches for conversations using query string with support for filtering and sorting

Search for articles

You can search for articles by making a GET request to `https://api.

Search internal articles

Searches one page of internal articles in Intercom.

Search tickets

Tool to search tickets in Intercom by filtering attribute values.

Set admin to away

Tool to set an admin to away status in Intercom.

Set an admin to away

You can set an Admin as away for the Inbox.

Show call

Tool to retrieve a single call by ID from Intercom.

Show call transcript

Tool to get call transcript by call ID.

Show contact by external ID

Tool to retrieve a contact by their external ID.

Unarchive contact

Tool to unarchive a previously archived contact in Intercom.

Update a collection

You can update the details of a single collection by making a PUT request to `https://api.

Update a company

You can update a single company using the Intercom provisioned `id`.

Update a contact

You can update an existing contact (ie.

Update an article

You can update the details of a single article by making a PUT request to `https://api.

Update contact

Tool to update an existing contact in Intercom.

Update content import source

Tool to update an existing content import source in Fin Content Library.

Update data attribute

Tool to update an existing data attribute in Intercom.

Update external page

Tool to update an existing external page in Fin Content Library.

Update internal article

Tool to update an internal article with new title, body, author or owner information.

Update ticket

Tool to update an existing ticket in Intercom.

Update a ticket type

Tool to update an existing ticket type in the workspace.

Update ticket type attribute

Tool to update an existing attribute for a ticket type.

FRAMEWORKS

How to build Intercom MCP Agent with another framework

ChatGPT

Use Intercom MCP with ChatGPT

OpenAI Agents SDK

Use Intercom MCP with OpenAI Agents SDK

Claude Agent SDK

Use Intercom MCP with Claude Agent SDK

Claude Code

Use Intercom MCP with Claude Code

Claude Cowork

Use Intercom MCP with Claude Cowork

Codex

Use Intercom MCP with Codex

Cursor

Use Intercom MCP with Cursor

OpenClaw

Use Intercom MCP with OpenClaw

Hermes

Use Intercom MCP with Hermes

CLI

Use Intercom MCP with CLI

Google ADK

Use Intercom MCP with Google ADK

LangChain

Use Intercom MCP with LangChain

Vercel AI SDK

Use Intercom MCP with Vercel AI SDK

Mastra AI

Use Intercom MCP with Mastra AI

CrewAI

Use Intercom MCP with CrewAI

OpenCode

Use Intercom MCP with OpenCode

VS Code

Use Intercom MCP with VS Code

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FAQ

Frequently asked questions

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

Yes, you can. LlamaIndex 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 Intercom tools.

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

Start with Intercom.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Intercom 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 Intercom MCP with LlamaIndex

Connect Intercom without auth hassles

Introduction

Also integrate Intercom with

TL;DR

What is LlamaIndex?

What is the Intercom 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, Composio, and Intercom

Installing dependencies

Set environment variables

Import modules

Load environment variables and initialize Composio

Create a Tool Router session and build the agent function

Create an interactive chat loop

Define the main entry point

Run the agent

Complete Code

Conclusion

Supported Tools

How to build Intercom MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Aeroleads

Autobound

Better proposals

Bidsketch

Frequently asked questions

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

Can I use Tool Router MCP with LlamaIndex?+

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

How safe is my data with Composio Tool Router?+

Start with Intercom.It takes 30 seconds.

Teams ship real agents on Composio