How to integrate Speechmatics MCP with Claude Agent SDK

This guide walks you through connecting Speechmatics to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Speechmatics agent that can create transcription jobs, check your job status, retrieve transcripts, and review your usage through natural language commands. This guide will help you understand how to give your Claude Agent SDK agent real control over a Speechmatics account through Composio's Speechmatics MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Speechmatics is a speech-to-text API for async audio and video transcription. It gives you accurate transcripts, job control, and usage reporting at scale.

7 Tools

Introduction

This guide walks you through connecting Speechmatics to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Speechmatics agent that can create transcription jobs, check your job status, retrieve transcripts, and review your usage through natural language commands.

This guide will help you understand how to give your Claude Agent SDK agent real control over a Speechmatics account through Composio's Speechmatics MCP server.

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

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TL;DR

Here's what you'll learn:
  • Get and set up your Claude/Anthropic and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Speechmatics
  • Configure an AI agent that can use Speechmatics as a tool
  • Run a live chat session where you can ask the agent to perform Speechmatics operations

What is Claude Agent SDK?

The Claude Agent SDK is Anthropic's official framework for building AI agents powered by Claude. It provides a streamlined interface for creating agents with MCP tool support and conversation management.

Key features include:

  • Native MCP Support: Built-in support for Model Context Protocol servers
  • Permission Modes: Control tool execution permissions
  • Streaming Responses: Real-time response streaming for interactive applications
  • Context Manager: Clean async context management for sessions

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

The Speechmatics MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Speechmatics account. It provides structured and secure access to your audio and video transcription workflows, so your agent can create transcription jobs, monitor their progress, retrieve transcripts, manage jobs, and review usage on your behalf.

  • Audio and video transcription: Have your agent submit publicly accessible audio or video for asynchronous transcription.
  • Job monitoring and management: Let the agent list transcription jobs, check their status and processing errors, or delete jobs and their associated transcripts.
  • Transcript retrieval: Direct your agent to retrieve completed transcripts as structured content, plain text, or subtitle text.
  • Language and feature discovery: Instruct your agent to check supported languages, locales, domains, translation options, and language identification features before starting a job.
  • Transcription usage reporting: Have your agent report transcription counts and processed audio duration for a selected UTC date range.

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and Claude/Anthropic API Key
  • Primary know-how of Claude Agents SDK
  • A Speechmatics account
  • Some knowledge of Python
2

Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
  • Go to the Anthropic Console and create an API key. You'll need credits to use the models.
  • 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 @anthropic-ai/claude-agent-sdk @composio/core dotenv

Install the Composio SDK and the Claude Agents SDK.

What's happening:

  • @composio/core provides Composio integration for Anthropic
  • @anthropic-ai/claude-agent-sdk is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID identifies the user for session management
  • ANTHROPIC_API_KEY authenticates with Anthropic/Claude
5

Import dependencies

import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

dotenv.config();
What's happening:
  • We're importing all necessary libraries including the Claude Agent SDK and Composio
  • The dotenv.config() function loads environment variables from your .env file
  • This setup prepares the foundation for connecting Claude with Speechmatics functionality
6

Create a Composio instance and Tool Router session

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

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

  // Create Tool Router session for Speechmatics
  const session = await composio.create(USER_ID, {
    toolkits: ['speechmatics'],
  });
  const mcpUrl = session?.mcp.url;
What's happening:
  • The function checks for the required COMPOSIO_API_KEY environment variable
  • We're creating a Composio instance using our API key
  • The create method creates a Tool Router session for Speechmatics
  • The returned url is the MCP server URL that your agent will use
7

Configure Claude Agent with MCP

const options: Options = {
  permissionMode: 'bypassPermissions',
  mcpServers: {
    composio: {
      type: 'http',
      url: mcpUrl,
      headers: { 'x-api-key': COMPOSIO_API_KEY }
    }
  },
  systemPrompt: 'You are a helpful assistant with access to Speechmatics tools via Composio.',
  maxTurns: 10,
};
What's happening:
  • We're configuring the Claude Agent options with the MCP server URL
  • permissionMode: 'bypassPermissions' allows the agent to execute operations without asking for permission each time
  • The system prompt instructs the agent that it has access to Speechmatics
  • maxTurns: 10 limits the conversation length to prevent excessive API usage
8

Create client and start chat loop

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

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}
What's happening:
  • The readline interface is created to handle user input and output
  • The query function is used to send the user's input to the agent
  • The chat loop continues until the user types 'exit' or 'quit'
9

Run the application

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
What's happening:
  • The chat function is the entry point for the application
  • The try-catch block is used to handle any errors that occur

Complete Code

Here's the complete code to get you started with Speechmatics and Claude Agent SDK:

import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });
  const session = await composio.create(USER_ID, {
    toolkits: ['speechmatics']
  });
  const mcp_url = session?.mcp.url;

  const options: Options = {
    permissionMode: 'bypassPermissions',
    mcpServers: {
      composio: {
        type: 'http',
        url: mcp_url,
        headers: { 'x-api-key': COMPOSIO_API_KEY }
      }
    },
    systemPrompt: 'You are a helpful assistant with access to Speechmatics tools via Composio.',
    maxTurns: 10,
  };

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

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}

Conclusion

You've successfully built a Claude Agent SDK agent that can interact with Speechmatics through Composio's Tool Router.

Key features:

  • Native MCP support through Claude's agent framework
  • Streaming responses for real-time interaction
  • Permission bypass for smooth automated workflows
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

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

Create Transcription Job

Create an asynchronous Speechmatics transcription job from a publicly fetchable media URL and return its job ID.

Delete Transcription Job

Delete a transcription job and its associated transcript and resources, optionally forcing termination of a running job.

Discover Speech Features

Return Speechmatics' current Batch languages, locales, domains, translation support, and language-identification capabilities.

Get Transcript

Retrieve a transcription job's completed transcript as structured JSON v2, plain text, or SRT text.

Get Transcription Job

Get a transcription job's status, configuration, duration, and processing errors, optionally waiting briefly for a terminal state.

Get Usage

Get Batch transcription counts and audio duration aggregated over an optional UTC date range.

List Transcription Jobs

List transcription jobs in the connected US1 project, newest first, with an agent-controlled continuation cursor.

FRAMEWORKS

How to build Speechmatics MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Speechmatics MCP with OpenAI Agents SDK

Claude Code logo

Claude Code

Use Speechmatics MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Speechmatics MCP with Claude Cowork

Codex logo

Codex

Use Speechmatics MCP with Codex

OpenClaw logo

OpenClaw

Use Speechmatics MCP with OpenClaw

Hermes logo

Hermes

Use Speechmatics MCP with Hermes

CLI logo

CLI

Use Speechmatics MCP with CLI

Google ADK logo

Google ADK

Use Speechmatics MCP with Google ADK

LangChain logo

LangChain

Use Speechmatics MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Speechmatics MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Speechmatics MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Speechmatics MCP with LlamaIndex

CrewAI logo

CrewAI

Use Speechmatics MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. Claude Agent SDK 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 Speechmatics tools.

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

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