How to integrate Lyzr MCP with Claude Agent SDK

This guide walks you through connecting Lyzr to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Lyzr agent that can create ai agents, chat with your agents, schedule workflows, manage agent memory, and run ai checks through natural language commands. This guide will help you understand how to give your Claude Agent SDK agent real control over a Lyzr account through Composio's Lyzr MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Lyzr is an AI agent platform for building, running, evaluating, and managing agents. It helps teams ship safer AI workflows with Studio services for memory, voice, simulations, and knowledge bases.

22 Tools

Introduction

This guide walks you through connecting Lyzr to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Lyzr agent that can create ai agents, chat with your agents, schedule workflows, manage agent memory, and run ai checks through natural language commands.

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

The Lyzr MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Lyzr account. It provides structured and secure access to your agents, memory, knowledge bases, Responsible AI policies, simulations, schedules, workflows, and voice records, so your agent can create and manage agents, run conversations, search stored knowledge, review safety results, and monitor operations on your behalf.

  • Agent creation and conversations: Have your agent create single-task agents with chosen models and instructions, activate or deactivate them, run conversations, inspect their setup, or delete them.
  • Memory and knowledge retrieval: Let the agent store conversation messages, search memories across sessions, clear session history, inspect knowledge bases, and retrieve relevant documents.
  • Responsible AI and simulation review: Direct your agent to review available safety policies, evaluate text for blocks or redactions, and examine simulation performance and reported issues.
  • Schedules and workflow monitoring: Instruct your agent to create, review, or delete scheduled agent runs, then inspect SuperFlow workflows and their execution status.
  • Voice activity review: Have your agent list available voice agents and review call transcripts by agent, session, organization, or 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 Lyzr 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 Lyzr 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 Lyzr
  const session = await composio.create(USER_ID, {
    toolkits: ['lyzr'],
  });
  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 Lyzr
  • 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 Lyzr 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 Lyzr
  • 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 Lyzr 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: ['lyzr']
  });
  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 Lyzr 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 Lyzr 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 Lyzr action and event your agent gets out of the box.

Add Memory Messages

Store a batch of conversation messages in Lyzr Memory for an owner, session, and optional agent, with optional synchronous fact extraction.

Chat With Agent

Send a message or message history to an active Agent Studio agent and return its synchronous inference response for a session.

Clear Memory Session

Permanently clear messages and memories for one explicit owner and session in Lyzr Memory.

Create Agent

Create a single-task Agent Studio agent with an LLM provider, model, instructions, and optional tool configuration.

Create Agent Schedule

Create a cron schedule that runs one Agent Studio agent with a message in a specified timezone.

Delete Agent

Permanently delete one Agent Studio agent by ID.

Delete Agent Schedule

Permanently delete one agent cron schedule and remove its associated scheduler job.

Evaluate Text With RAI Policy

Apply one owned Responsible AI policy to text and return processed text, block decisions, warnings, detections, and redactions.

Get Agent

Return the current configuration and status of one Agent Studio agent by ID.

Get Knowledge Base

Return one Lyzr Knowledge Base configuration by its known RAG configuration ID.

Get Simulation Overview

Return aggregate Agent Simulation counts and average evaluation pass rate for the connected workspace.

List Agents

Return all Agent Studio agents owned by the connected API key, including IDs needed by lifecycle and inference tools.

List Agent Schedules

Return one page of agent cron schedules, optionally filtered by user, agent, or active state.

List Agent Simulation Issues

Return recent performance, error, and Responsible AI issues across monitored agents, optionally filtered by resolution and severity.

List RAI Policies

Return Responsible AI policies owned by the authenticated user, including policy IDs and enabled guardrail configuration.

List SuperFlow Executions

Return one page of SuperFlow execution records, optionally filtered by workflow and execution status.

List SuperFlow Workflows

Return all SuperFlow workflow definitions accessible to the connected API key, including workflow IDs and graph data.

List Voice Agents

Return saved Voice agents accessible to the connected organization, including IDs used to filter transcripts.

List Voice Transcripts

Return one page of accessible Voice call transcripts, optionally filtered by agent, session, organization, or date range.

Retrieve Knowledge

Retrieve relevant documents from a known Lyzr Knowledge Base using configurable basic, MMR, hypothetical-document, or time-aware retrieval.

Search Memories

Semantically search stored memories for one owner, within one session or across that owner's sessions, using Lyzr's hybrid vector and BM25 retrieval.

Set Agent Status

Activate or deactivate an Agent Studio agent.

FAQ

Frequently asked questions

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

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

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