How to integrate Heygen MCP with LlamaIndex

This guide walks you through connecting Heygen to LlamaIndex using the Composio tool router. By the end, you'll have a working Heygen agent that can create a talking photo from your selfie, add new contacts to your video project, list all available streaming avatars for today through natural language commands. This guide will help you understand how to give your LlamaIndex agent real control over a Heygen account through Composio's Heygen 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 walks you through connecting Heygen to LlamaIndex using the Composio tool router. By the end, you'll have a working Heygen agent that can create a talking photo from your selfie, add new contacts to your video project, list all available streaming avatars for today through natural language commands.

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

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

Also integrate Heygen with

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AICrewAI

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 Heygen
  • Connect LlamaIndex to the Heygen MCP server
  • Build a Heygen-powered agent using LlamaIndex
  • Interact with Heygen 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 Heygen MCP server, and what's possible with it?

The Heygen MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Heygen account. It provides structured and secure access to your Heygen video platform, so your agent can perform actions like creating talking photos, managing video assets, personalizing video projects, and controlling streaming avatars on your behalf.

  • AI-powered video asset creation: Add new avatars, backgrounds, or other content elements directly into your Heygen library for use in video generation workflows.
  • Personalized video project management: Let your agent add contacts to personalized video projects and fetch detailed project information to streamline large-scale video personalization efforts.
  • Dynamic talking photo generation: Instantly create engaging talking photos from uploaded images, transforming static pictures into interactive, speaking content for marketing or educational use.
  • Real-time avatar streaming control: Retrieve a list of streaming avatars, generate streaming tokens, and manage live avatar sessions—including interrupting or monitoring ongoing streams for responsive, interactive experiences.
  • Audience insights and analytics: Fetch detailed audience engagement and preference data for personalized video campaigns, helping you optimize your content and targeting strategies.

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 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 Heygen account and project
  • Basic familiarity with async Python/Typescript
2

Getting API Keys for OpenAI, Composio, and Heygen

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
3

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
4

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 Heygen access
5

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 heygen_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
6

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.

7

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: ["heygen"],
    },
  );

  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 Heygen 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, heygen)
  • 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 Heygen tools.
  • The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.
8

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 Heygen
  • 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 Heygen 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
9

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 Heygen
10

Run the agent

npx ts-node llamaindex-agent.ts

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

Complete Code

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

  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 Heygen 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 Heygen to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes Heygen 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 Heygen action and event your agent gets out of the box.

Add looks to photo avatar group

Tool to add additional looks (images) to an existing photo avatar group.

Add motion to photo avatar

Tool to add natural motion or animation to an existing photo avatar, turning a still image into a moving, lifelike one.

Check photo/look generation status

Tool to retrieve the current status and details of a photo avatar or look generation by its ID.

Create a new folder

Tool to create a new folder under your HeyGen account.

Create knowledge base

Tool to create a new knowledge base with a specified name, opening line, and custom prompt for Interactive Avatar streaming sessions.

Create photo avatar group

Tool to create an avatar group which can include both AI-generated and user-uploaded photos of the avatar.

Create WebM video

Tool to create a WebM format video with transparent background featuring an avatar speaking text or audio.

Delete an avatar video

Tool to delete a video by its ID from HeyGen account.

Delete asset

Tool to delete a specific asset by its unique asset ID from HeyGen account.

Delete knowledge base

Tool to delete a specific knowledge base by its ID.

Delete photo avatar

Tool to delete a photo avatar by its ID from HeyGen account.

Delete photo avatar group

Tool to delete a photo avatar group by its ID from HeyGen account.

Delete webhook endpoint

Tool to permanently delete a webhook endpoint from HeyGen.

Generate photo avatar photos

Tool to generate a personalized AI avatar based on text prompts and attribute inputs.

Generate text-to-speech audio

Tool to generate a speech audio file from any text input using a specified voice, powered by HeyGen's Starfish model.

Generate voice audio preview

Tool to generate a short audio preview with the specified voice and text.

Get current user information

Tool to retrieve the profile information of the currently authenticated user.

Get training job status

Tool to retrieve the current training status and details of a photo avatar training job by group ID.

Keep alive streaming session

Tool to reset the idle timeout counter for an active streaming session.

List all avatar groups

Tool to retrieve a list of all available avatar groups in your HeyGen account.

List all locales for voices

Tool to retrieve available locales for multilingual voices.

List assets

Tool to retrieve a paginated list of all assets (images, audios, videos) created under your account.

List brand voices

Tool to retrieve a list of brand glossaries created under your account.

List folders

Tool to retrieve a paginated list of folders created under your account.

List avatars in a specific group

Tool to retrieve all avatars that belong to a specific avatar group.

List knowledge bases

Tool to retrieve a list of all existing knowledge bases associated with your account.

List session history

Tool to retrieve a paginated history of all streaming sessions with metadata including session duration, timestamps, and other details.

List streaming avatars

Tool to retrieve a list of public and custom interactive avatars for streaming.

List TTS voices

Tool to retrieve a list of public and custom voices compatible with HeyGen's Starfish TTS model.

Create new streaming session

Tool to initiate a new streaming session with an Interactive Avatar for real-time interactions.

Add contact to personalized video project

This endpoint allows you to add one or more contacts to a specific personalized video project in the Heygen platform.

Fetch personalized video project detail

Retrieves detailed information about a specific personalized video project in HeyGen, including status, settings, and metadata.

Get photo avatar details

Tool to retrieve detailed information about a photo avatar or look using its unique ID.

Post talking photo binary image

Creates a talking photo by processing an uploaded image file.

Restore folder from trash

Tool to restore a previously deleted folder from trash by its unique folder ID.

Retrieve avatar details

Tool to retrieve detailed information about a specific avatar by its ID.

Retrieve sharable video URL

Tool to generate a public, shareable URL for a specific video by ID.

Retrieve template details v3

Tool to retrieve comprehensive details about a specific template including all available variables for replacement and scene mappings for templates built in the New AI Studio.

Retrieve video status details

Tool to retrieve the current processing status and metadata for a specific video by ID.

Search public avatar groups

Tool to search and retrieve public avatar groups with optional filters and pagination.

Create streaming token with expiry

Creates a new streaming token for use with HeyGen's real-time avatar and voice chat services.

Post streaming ice candidates

This endpoint is used to submit ICE (Interactive Connectivity Establishment) candidate information for a specific streaming session in the Heygen platform.

Interrupt streaming session

Interrupts an ongoing streaming session with an interactive avatar.

Retrieve streaming list

Retrieves a list of active or available streaming sessions or content within the HeyGen platform.

Set streaming quality endpoint

Initiates a new streaming session with HeyGen, allowing users to start an avatar-based stream with specified quality settings.

Start streaming session

Initiates a new streaming session for real-time communication in the HeyGen platform.

Stop streaming session

The streaming.

Send task to streaming avatar

The StreamingTask endpoint initiates a real-time speaking task for an AI-driven avatar within an active streaming session.

Move folder to trash

Tool to move a specific folder to trash by its unique folder ID.

Update folder name

Tool to update (rename) an existing folder by its unique folder ID.

Update knowledge base

Tool to update an existing knowledge base by its ID.

Update webhook endpoint

Tool to modify an existing webhook endpoint configuration including URL and subscribed event types.

Upload asset

Tool to upload a file asset (image, video, or audio) to HeyGen platform.

Upscale motion avatar

Tool to enhance the resolution and visual quality of a motion avatar.

List avatars endpoint

Retrieves a list of available avatars from the Heygen platform.

List talking photo entries

Retrieves a list of talking photos created using the HeyGen platform.

List videos

Retrieves a list of videos associated with the user's account on the HeyGen platform.

List voice endpoints

Retrieves a comprehensive list of all available voices in the HeyGen platform.

Add webhook endpoint

Adds a new webhook endpoint to receive real-time notifications for specified Heygen events.

List webhook endpoints

Retrieves a list of all webhook endpoints configured for your HeyGen account.

List webhooks

Retrieves a list of all available webhook event types that can be subscribed to in your HeyGen account.

Delete talking photo by id

Deletes a specific talking photo from the HeyGen platform using its unique identifier.

Generate video template with variables

Generates a customized video from a pre-existing template using HeyGen's AI platform.

Get template by id

Retrieves a specific template from the HeyGen platform using its unique identifier.

Retrieve all templates

Retrieves a list of available avatar templates from the HeyGen platform.

Retrieve user remaining quota

Retrieves the current remaining quota for the authenticated user on the HeyGen platform.

Generate video with inputs

Generates a customized video using Heygen's AI-driven platform.

Post video translate request

The TranslateVideo endpoint enables the translation of video content from one language to another.

Retrieve video translation by id

Retrieves the current status of a video translation job in the HeyGen platform.

Retrieve video translation target languages

Retrieves a list of all available target languages supported by HeyGen's video translation feature.

List available voices

Retrieves a list of available voice models and options that can be used with HeyGen's AI-driven video creation platform.

FRAMEWORKS

How to build Heygen MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Heygen MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Heygen MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Heygen MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Heygen MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Heygen MCP with Claude Cowork

Codex logo

Codex

Use Heygen MCP with Codex

Cursor logo

Cursor

Use Heygen MCP with Cursor

OpenClaw logo

OpenClaw

Use Heygen MCP with OpenClaw

Hermes logo

Hermes

Use Heygen MCP with Hermes

CLI logo

CLI

Use Heygen MCP with CLI

Google ADK logo

Google ADK

Use Heygen MCP with Google ADK

LangChain logo

LangChain

Use Heygen MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Heygen MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Heygen MCP with Mastra AI

CrewAI logo

CrewAI

Use Heygen MCP with CrewAI

OpenCode logo

OpenCode

Use Heygen MCP with OpenCode

VS Code logo

VS Code

Use Heygen MCP with VS Code

FAQ

Frequently asked questions

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

Yes, absolutely. You can configure which Heygen 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 Heygen 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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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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