How to integrate Retellai MCP with Claude Agent SDK

This guide walks you through connecting Retellai to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Retellai agent that can list all phone numbers linked to your account, retrieve call details for a specific agent this week, buy a new phone number with area code 415 through natural language commands. This guide will help you understand how to give your Claude Agent SDK agent real control over a Retellai account through Composio's Retellai MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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RetellAI is a platform for capturing calls and transcripts, centralizing business conversations. It helps teams analyze interactions and extract insights to improve customer experience.

67 Tools

Introduction

This guide walks you through connecting Retellai to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Retellai agent that can list all phone numbers linked to your account, retrieve call details for a specific agent this week, buy a new phone number with area code 415 through natural language commands.

This guide will help you understand how to give your Claude Agent SDK agent real control over a Retellai account through Composio's Retellai 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 Retellai
  • Configure an AI agent that can use Retellai as a tool
  • Run a live chat session where you can ask the agent to perform Retellai 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 Retellai MCP server, and what's possible with it?

The Retellai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Retellai account. It provides structured and secure access to your call records, phone numbers, and conversation transcripts, so your agent can perform actions like retrieving call details, managing phone numbers, initiating outbound calls, and analyzing voice data on your behalf.

  • Retrieve and analyze call records: Your agent can fetch detailed call logs, filter by agent or time, and surface insights from past conversations.
  • Initiate outbound and web-based calls: Easily direct your agent to start new phone or web calls between specific numbers or agents, supporting various business workflows.
  • Manage phone numbers and assignments: Buy, update, or delete phone numbers, and bind them to agents for streamlined inbound and outbound call handling.
  • Access and review call transcripts and details: Let your agent drill down into specific calls, pulling transcripts and metadata for compliance, training, or analytics.
  • Explore and configure voice settings: Fetch detailed information about available voice options, including provider, accent, gender, and preview audio for customization of call experiences.

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 Retellai 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 Retellai 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 Retellai
  const session = await composio.create(USER_ID, {
    toolkits: ['retellai'],
  });
  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 Retellai
  • 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 Retellai 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 Retellai
  • 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 Retellai 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: ['retellai']
  });
  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 Retellai 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 Retellai 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 Retellai action and event your agent gets out of the box.

Add community voice

Add a community voice from ElevenLabs to your Retell voice library.

Add sources to knowledge base

Tool to add sources (documents, URLs, text) to an existing knowledge base in Retell AI.

Buy a new phone number bind agents

This endpoint allows purchasing a new phone number with a specified area code and binding it to designated agents for inbound and outbound calls.

Create Voice AI Agent

Create a new voice AI agent with specified configuration.

Create a new outbound phone call

Initiate an outbound call by POST to '/v2/create-phone-call'.

Create a new web call

The /v2/create-web-call endpoint creates a web call with a unique agent ID, returning call details like type, token, call ID, and status in JSON format, with a 201 response.

Create Batch Test

Tool to create a batch test job that runs multiple test cases against an agent.

Create a new chat session

Tool to create a new chat session with a chat agent.

Create a new chat agent

Create a new chat agent with specified configuration.

Create chat completion

Tool to create a chat completion for an existing chat session, generating the agent's response to a user message.

Create conversation flow

Create a new Conversation Flow that can be attached to an agent for response generation.

Create conversation flow component

Creates a new shared conversation flow component at POST '/create-conversation-flow-component'.

Create a new knowledge base

Tool to create a new knowledge base in Retell AI with texts, files, and URLs.

Create Retell LLM Response Engine

Create a new Retell LLM Response Engine that can be attached to an agent.

Create Test Case Definition

Tool to create a test case definition for agent QA testing in Retell AI.

Delete agent

Deletes an existing agent by its unique identifier.

Delete call

Delete a specific call and its associated data by call ID.

Delete chat agent

Delete an existing chat agent by its unique identifier.

Delete conversation flow

Delete a conversation flow and all its versions.

Delete conversation flow component

Delete a shared conversation flow component.

Delete knowledge base

Delete an existing knowledge base by its unique identifier.

Delete knowledge base source

Delete an existing source from a knowledge base.

Delete phone number

Tool to delete an existing phone number from Retell AI.

Delete Retell LLM

Delete an existing Retell LLM Response Engine by its unique identifier.

Delete test case definition

Delete a test case definition by its unique identifier.

End chat

Tool to end an active chat session.

Retrieve details of a specific agent

Retrieve details of a specific agent by its unique identifier.

Get agent versions

Tool to retrieve all versions of a specific agent.

Get batch test

Retrieve details and results of a specific batch test job.

Get chat details

Tool to retrieve details of a specific chat session by chat ID.

Retrieve details of a specific chat agent

Retrieve details of a specific chat agent by its unique identifier.

Get all versions of a chat agent

Retrieve all versions of a specific chat agent by its unique identifier.

Get concurrency

Retrieves the current concurrency and concurrency limits for the organization.

Get Conversation Flow

Retrieve details of a specific Conversation Flow by its ID.

Get conversation flow component

Retrieves a shared conversation flow component by its unique identifier.

Get knowledge base

Retrieve details of a specific knowledge base by its unique identifier.

Retrieve details of a specific Retell LLM

Retrieve details of a specific Retell LLM Response Engine by its unique identifier.

Import phone number

Tool to import a phone number from custom telephony and bind agents to it.

List agents

Retrieves a list of all agents associated with the account.

List all chats

Tool to retrieve a list of all chats associated with the account.

List all phone numbers

Retrieves a list of all phone numbers associated with the account.

List batch tests

Tool to list batch test jobs for a response engine.

List chat agents

Tool to retrieve a list of all chat agents associated with the account.

List conversation flow components

Retrieves a list of all shared conversation flow components.

List conversation flows

Tool to list all conversation flows that can be attached to an agent.

List knowledge bases

Tool to retrieve all knowledge bases associated with the account.

List Retell LLMs

Tool to list all Retell LLM Response Engines that can be attached to an agent.

List test case definitions

Tool to list test case definitions for a response engine (Retell LLM or Conversation Flow).

List test runs

Tool to list all test case jobs (test runs) for a batch test job.

List voices

List all voices available to the user.

Publish agent

Publishes the latest version of the agent and creates a new draft agent with a newer version.

Publish chat agent

Publishes the latest version of the chat agent and creates a new draft chat agent with a newer version.

Register phone call

Register a phone call for custom telephony integration with Retell AI.

Retrieve call details

Tool to retrieve call details with filtering options.

Retrieve call details by id

Retrieve call details by ID for web/phone calls, including type, agent ID, status, timestamps, and web access token; covering responses from success to server errors.

Retrieve phone number details

Tool to retrieve details of a specific phone number from Retell AI.

Retrieve details of a specific voice

Tool to retrieve details of a specific voice by its voice_id.

Search community voice

Search for community voices from voice providers.

Update agent

Update an existing agent's latest draft version.

Update call

Update an active call's parameters such as metadata, dynamic variables, or data storage settings.

Update chat agent

Update an existing chat agent configuration.

Update chat metadata

Tool to update metadata and sensitive data storage settings for an existing chat.

Update conversation flow

Update an existing conversation flow configuration.

Update conversation flow component

Update an existing shared conversation flow component by its ID.

Update phone number configuration

Update agent bound to a purchased phone number.

Update Retell LLM Response Engine

Update an existing Retell LLM Response Engine by its unique identifier.

Update test case definition

Update a test case definition for agent testing.

FAQ

Frequently asked questions

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

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

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