How to integrate Gleap MCP with LlamaIndex

This guide walks you through connecting Gleap to LlamaIndex using the Composio tool router. By the end, you'll have a working Gleap agent that can archive resolved support tickets from last week, send a chat message to follow up on feedback, list all articles in the onboarding collection through natural language commands. This guide will help you understand how to give your LlamaIndex agent real control over a Gleap account through Composio's Gleap MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Get started for free Get a demo

Gleap

Api Key

Gleap is an all-in-one customer feedback tool for apps and websites. It helps you understand user pain points and improve software through direct, actionable insights.

179 Tools

Managed auth

Connect Gleap without auth hassles

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

Try for free

Introduction

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

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

Also integrate Gleap with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex 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 Gleap
Connect LlamaIndex to the Gleap MCP server
Build a Gleap-powered agent using LlamaIndex
Interact with Gleap 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 Gleap MCP server, and what's possible with it?

The Gleap MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gleap account. It provides structured and secure access to your customer feedback data, so your agent can perform actions like managing support tickets, communicating with users, organizing help center content, and handling team workflows on your behalf.

Ticket creation and management: Instantly create new support tickets, archive resolved issues, or retrieve existing tickets to streamline customer support workflows.
Chat and user communication: Allow your agent to send new chat messages or fetch entire chat histories, making it easy to keep conversations going with users.
Help center organization: Create collections or retrieve articles in your help center, enabling your agent to help manage and organize your knowledge base content efficiently.
Team and user administration: Add new teams for ticket assignment or remove users from projects, so you can stay on top of team management tasks without lifting a finger.
Checklist and engagement tracking: Fetch detailed checklists to monitor user engagement or onboarding progress, giving your agent context to provide personalized support.

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 Gleap account and project
Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Gleap

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 Gleap 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 gleap_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: ["gleap"],
    },
  );

  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 Gleap 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, gleap)
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 Gleap 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 Gleap
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 Gleap 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 Gleap

Run the agent

npx ts-node llamaindex-agent.ts

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

Complete Code

Here's the complete code to get you started with Gleap 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: ["gleap"],
    },
  );

  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 Gleap 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 Gleap to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:

Tool Router dynamically exposes Gleap 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 Gleap action and event your agent gets out of the box.

Archive All Tickets

Tool to archive all tickets matching specific type and status criteria.

Archive a Ticket

Tool to archive a ticket.

Clone Engagement

Tool to clone an existing engagement.

Create a Collection

Tool to create a help center collection.

Create AI Content

Tool to create or update AI content in Gleap's knowledge base.

Create a new chat message

Creates a new chat message in a Gleap chat session.

Create a new session

Create a new user session in Gleap and associate it with a project.

Create a new team

Tool to create a new team.

Create a new ticket

Create a new support ticket in Gleap with detailed information including title, description, type, priority, status, tags, and attachments.

Create Engagement Banner

Tool to create a new engagement banner in Gleap.

Create Engagement Checklist

Tool to create a new engagement checklist.

Create Engagement Cobrowse

Tool to create a new cobrowse product tour.

Create Engagement Email

Tool to create a new engagement email in Gleap.

Create Engagement Modal

Tool to create a new engagement modal in Gleap.

Create Engagement Product Tour

Tool to create a new product tour in Gleap.

Create Engagement Push Notification

Tool to create a new push notification in Gleap.

Create Engagement Tooltip

Tool to create a new engagement tooltip in Gleap.

Create feedback item

Tool to manually create a feedback item (bug) in a Gleap project.

Create Help Center Redirect

Tool to create a new redirect for help center URLs.

Create Message Template

Tool to create a new message template in Gleap.

Create new conversation with session

Create a new conversation with a session in Gleap.

Create QA Snippet

Tool to create a QA snippet (question-answer pair) in Gleap.

Create Tracker Ticket

Tool to create a tracker ticket in Gleap.

Delete AI Content

Tool to delete AI content by content ID.

Delete AI Content Batch

Tool to delete all AI content by batchId.

Delete a User from a Project

Removes a user (team member) from a Gleap project, revoking their access.

Delete Bugs

Tool to delete a bug/ticket by ID.

Delete Engagement Banner

Tool to delete an engagement banner.

Delete Engagement Chat Message

Deletes an engagement chat message from Gleap by its ID.

Delete Engagement Checklist

Tool to delete an engagement checklist by its ID.

Delete Engagement Cobrowse

Tool to delete a cobrowse product tour by its ID.

Delete Engagement Email

Tool to delete an engagement email by its ID.

Delete Engagement Modal

Tool to delete an engagement modal from a Gleap project.

Delete Engagement News

Tool to delete an engagement news article.

Delete Engagement Product Tour

Tool to delete an engagement product tour by its ID.

Delete Engagement Push Notification

Tool to delete an engagement push notification by its ID.

Delete Engagement Surveys

Tool to delete an engagement survey.

Delete Engagement Tooltips

Tool to delete an engagement tooltip.

Delete Engagement WhatsApp Message

Tool to delete an engagement WhatsApp message by its ID.

Delete Help Center Collection

Tool to delete a help center collection by ID.

Delete Help Center Redirect

Tool to delete a help center redirect.

Delete Message

Tool to delete a message (comment) from a bug or ticket.

Delete Message Template

Tool to delete a message template.

Delete Old AI Content Batches

Delete all AI content batches except the current batch.

Delete QA Answer

Tool to delete a QA answer (snippet) from a Gleap project.

Delete project session

Tool to delete a session from a Gleap project.

Delete session

Tool to delete a session by ID.

Delete Team

Tool to delete a team by ID.

Delete Ticket

Tool to delete a ticket by ID.

Export sessions

Tool to export sessions for the authenticated project in CSV format.

Export Statistics Lists

Tool to export statistics list data as CSV from Gleap.

Generate ticket draft reply

Tool to generate an AI-powered draft reply for a ticket.

Generate tracker ticket data

Tool to generate AI-powered tracker ticket data from an existing ticket.

Get a Checklist

Tool to retrieve a specific engagement checklist by its ID.

Get a Collection

Tool to retrieve a help center collection by ID.

Get AI content

Tool to retrieve AI content by its content ID.

Get all articles

Tool to retrieve articles in a help center collection.

Get all chat messages

Retrieves all engagement chat messages from the current Gleap project.

Get All Collections

Retrieves all help center collections for the authenticated project.

Get All Invitations for a Project

Retrieves all pending invitations for a project.

Get all sessions

Retrieves all user sessions for the authenticated project.

Get All Teams

Tool to retrieve all teams.

Get All Tickets

Retrieve tickets from a Gleap project with optional filtering, sorting, and pagination.

Get All Users for a Project

Tool to retrieve all users for a project.

Get a ticket

Retrieves complete details for a specific ticket by its ID.

Get current user

Retrieves the authenticated user's profile including email, name, user type, availability status, notification preferences, and 2FA settings.

Get engagement activities count

Tool to retrieve the count of activities for a specific engagement.

Get engagement banner

Tool to retrieve an engagement banner by its ID.

Get Engagement Banners

Tool to retrieve all engagement banners from a Gleap project.

Get engagement chat message

Retrieves a specific engagement chat message by its ID.

Get Engagement Checklists

Tool to retrieve all engagement checklists for a project.

Get Engagement Cobrowse

Retrieves all cobrowse product tours for the authenticated project.

Get engagement cobrowse by ID

Tool to retrieve a specific cobrowse product tour by its ID.

Get engagement email

Retrieves a specific engagement email by its ID.

Get Engagement Emails

Tool to retrieve all engagement emails from a Gleap project.

Get engagement modal

Tool to retrieve an engagement modal by its ID.

Get Engagement Modals

Tool to retrieve all engagement modals from a Gleap project.

Get Engagement News

Tool to retrieve all engagement news articles from a Gleap project.

Get engagement news article

Retrieves a specific engagement news article by its ID.

Get a Product Tour

Tool to retrieve a specific engagement product tour by its ID.

Get Engagement Product Tours

Tool to retrieve all engagement product tours for a project.

Get engagement push notification

Retrieves a specific engagement push notification by its ID.

Get Engagement Push Notifications

Tool to retrieve all engagement push notifications from a Gleap project.

Get Engagements Activities

Tool to retrieve all activities for a specific engagement.

Get engagement recipients

Tool to find and retrieve recipients for a specific engagement.

Get engagement statistics

Tool to retrieve statistics for a specific engagement.

Get Engagement Survey

Tool to retrieve a survey by its ID.

Get Engagement Surveys

Tool to retrieve all engagement surveys from a Gleap project.

Get Survey Responses

Tool to retrieve all survey responses for a specific survey.

Get Engagement Survey Response Samples

Tool to retrieve survey response samples for a specific engagement survey.

Summarize Survey Responses

Tool to retrieve an AI-generated summary of survey responses.

Get Engagement Tooltip by ID

Tool to retrieve a specific engagement tooltip by its ID.

Get Engagement Tooltips

Tool to retrieve all engagement tooltips for the authenticated project.

Get engagement WhatsApp message

Retrieves a specific engagement WhatsApp message by its ID.

Get Help Center Sources

Retrieves all configured help center sources (knowledge base content sources) for the project.

Get Invitations

Retrieves all invitations for the authenticated user.

Get message template

Retrieves a specific message template by its ID from a Gleap project.

Get Message Templates

Retrieve all message templates for the authenticated project.

Get notification ticket

Retrieves detailed information about a Gleap ticket using its notification share token.

Get project

Retrieves complete details for a specific project by its ID.

Get Projects

Retrieves all projects accessible to the authenticated user.

Get archived bugs

Tool to retrieve archived bugs for a specific project.

Get Projects Help Center Collections

Tool to get all help center collections for a project.

Get project sessions

Tool to retrieve all sessions for a specific project.

Get Projects Tickets

Tool to retrieve all tickets from a specific Gleap project.

Get project users

Tool to get project users by project ID.

Get a session

Retrieves detailed information for a specific session by its ID.

Get session activities

Retrieves all activities for a specific session by session ID.

Get session Chargebee info

Tool to retrieve Chargebee billing information for a specific session.

Get Session Checklists

Retrieve all engagement checklists associated with a user session in Gleap.

Get session events by ID

Tool to retrieve all streamed events for a specific session by its ID.

Get session LemonSqueezy info

Tool to retrieve LemonSqueezy subscription and payment information for a specific session.

Get Session Shopify Info

Retrieve Shopify information associated with a user session in Gleap.

Get Shared Help Center Answer

Retrieves an answer to a question from the shared help center knowledge base.

Get email client bounce statistics

Tool to retrieve email client bounce statistics from Gleap.

Get Email Client Usage Statistics

Tool to retrieve email client usage statistics from Gleap.

Get email overview statistics

Tool to retrieve email overview statistics from Gleap.

Get statistics facts

Tool to retrieve fact data for various statistics from Gleap.

Get Statistics Heatmap

Retrieve heatmap data for activity patterns in Gleap.

Get Statistics Lists

Tool to retrieve statistics list data from Gleap.

Get Statistics Raw Data

Tool to retrieve raw statistics data from Gleap.

Get Tickets By Session Query

Find tickets by session query parameters such as email, userId, phone, or custom data.

Get Tickets Export

Export tickets from Gleap project with optional filtering and sorting.

Get Tickets Export Fields

Retrieve available fields for ticket export from Gleap.

Search Tickets by Term

Search for tickets using a text search term in Gleap.

Get Tickets Count

Tool to get the total count of tickets in a Gleap project.

Get current user's permissions

Tool to retrieve the current user's role permissions.

Get users unified inbox

Retrieves tickets from the unified inbox for the authenticated user.

Get users unified inbox ticket

Retrieves complete details for a specific ticket from the unified inbox by its ID.

Identify or update user

Identify or update a user's information in Gleap.

Import session

Import user sessions into Gleap for tracking and analytics.

Import sessions from Intercom

Import user sessions from Intercom into Gleap.

Indicate user typing

Tool to indicate that a user is typing in a ticket conversation.

Indicate user viewing

Tool to indicate that a user is viewing a ticket.

Link a Ticket

Tool to link a ticket.

Mark Survey Responses as Read

Tool to mark all survey responses as read for a given survey.

Merge tickets

Tool to merge multiple tickets into a single target ticket in Gleap.

How to build Gleap MCP Agent with another framework

OpenAI Agents SDK

Use Gleap MCP with OpenAI Agents SDK

Claude Agent SDK

Use Gleap MCP with Claude Agent SDK

Claude Code

Use Gleap MCP with Claude Code

Claude Cowork

Use Gleap MCP with Claude Cowork

Codex

Use Gleap MCP with Codex

OpenClaw

Use Gleap MCP with OpenClaw

Hermes

Use Gleap MCP with Hermes

CLI

Use Gleap MCP with CLI

Google ADK

Use Gleap MCP with Google ADK

LangChain

Use Gleap MCP with LangChain

Vercel AI SDK

Use Gleap MCP with Vercel AI SDK

Mastra AI

Use Gleap MCP with Mastra AI

CrewAI

Use Gleap MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Aeroleads

Api Key

Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.

Autobound

Api Key

Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations.

Better proposals

Api Key

Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates.

Bidsketch

Api Key

Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.

FAQ

Frequently asked questions

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

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

Start with Gleap.It takes 30 seconds.

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

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

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

Harsha Gaddipati

Co-founder, Slashy

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

Abhi Arya

Co-founder, Opennote

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

Nirman Dave

CEO, Zams

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

Ryan Yu

Founder, Extra Thursday

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

Tomisin Jenrola

Founder & CEO, SwarmZero

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

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Gleap MCP with LlamaIndex

Connect Gleap without auth hassles

Introduction

Also integrate Gleap with

TL;DR

What is LlamaIndex?

What is the Gleap 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 Gleap

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 Gleap 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

CrewAI

Explore Other Toolkits

Aeroleads

Autobound

Better proposals

Bidsketch

Frequently asked questions

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

Can I use Tool Router MCP with LlamaIndex?+

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

How safe is my data with Composio Tool Router?+

Start with Gleap.It takes 30 seconds.

Teams ship real agents on Composio