How to integrate Gladia MCP with LangChain

This guide walks you through connecting Gladia to LangChain using the Composio tool router. By the end, you'll have a working Gladia agent that can transcribe this recorded meeting audio file, start real-time transcription from your microphone, list all recent transcription jobs with status through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Gladia account through Composio's Gladia MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Gladia delivers fast, accurate audio transcription and intelligence via a simple API. Instantly turn speech into actionable data for smarter workflows.

9 Tools

Introduction

This guide walks you through connecting Gladia to LangChain using the Composio tool router. By the end, you'll have a working Gladia agent that can transcribe this recorded meeting audio file, start real-time transcription from your microphone, list all recent transcription jobs with status through natural language commands.

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

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

Also integrate Gladia with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Gladia project to Composio
  • Create a Tool Router MCP session for Gladia
  • Initialize an MCP client and retrieve Gladia tools
  • Build a LangChain agent that can interact with Gladia
  • Set up an interactive chat interface for testing

What is LangChain?

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

Key features include:

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

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

The Gladia MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gladia account. It provides structured and secure access to advanced audio transcription and intelligence services, so your agent can perform actions like uploading audio, transcribing recordings, retrieving live transcription results, and organizing jobs on your behalf.

  • Real-time and asynchronous transcription: Instantly start live or pre-recorded transcription jobs for audio and video files, letting your agent process spoken content with ease.
  • Audio and video file uploads: Seamlessly upload audio or video files to Gladia's servers as a first step before transcription or analysis.
  • Fetch detailed transcription results: Retrieve comprehensive results and metadata from both live and pre-recorded transcription sessions, including job status and transcribed text.
  • Job management and status tracking: List, filter, and monitor all your live and pre-recorded transcription jobs so your agent can keep tabs on ongoing or completed work.
  • Effortless workflow automation: Combine audio file handling, job initiation, and result retrieval into streamlined, agent-driven automations—saving you time and manual effort.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

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

Step-by-step Guide

Step by step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

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

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

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

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Gladia functionality through MCP
6

Initialize Composio client

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

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

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Gladia tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

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

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Gladia tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Gladia tools as needed
8

Configure the agent with the MCP URL

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

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Gladia MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Gladia tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

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

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

rl.prompt();

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

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

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

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

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

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

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

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

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

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

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

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

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

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

    rl.prompt();

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

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

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

Conclusion

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

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
TOOLS

Supported Tools

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

Delete Live Session

Tool to delete a live transcription session and all its associated data (audio file, transcription).

Delete Pre-recorded Job

Tool to delete a pre-recorded transcription job and all its associated data (audio file, transcription).

Get live transcription result

Tool to retrieve metadata and results of a live transcription job.

Get Pre-recorded Job

Tool to retrieve a pre-recorded transcription job's metadata, status, and results by ID.

Initiate Live Transcription Session

Initiates a live (real-time) transcription session with Gladia's API.

Initiate Pre-Recorded Transcription

Tool to initiate a pre-recorded transcription job.

List live transcription jobs

Tool to list live transcription jobs.

List Pre-Recorded Jobs

Tool to list all pre-recorded transcription jobs matching the query parameters.

Upload Audio/Video File

Upload an audio or video file to Gladia for speech-to-text transcription.

FRAMEWORKS

How to build Gladia MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Gladia MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Gladia MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Gladia MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Gladia MCP with Claude Cowork

Codex logo

Codex

Use Gladia MCP with Codex

OpenClaw logo

OpenClaw

Use Gladia MCP with OpenClaw

Hermes logo

Hermes

Use Gladia MCP with Hermes

CLI logo

CLI

Use Gladia MCP with CLI

Google ADK logo

Google ADK

Use Gladia MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Gladia MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Gladia MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Gladia MCP with LlamaIndex

CrewAI logo

CrewAI

Use Gladia MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. LangChain fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Gladia tools.

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

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