SIGN UPLOG IN
X (Twitter)LinkedInGitHubDiscordYouTube

How to integrate Npm MCP with Autogen

Connect Autogen to Npm MCP. Search for the latest lodash release, list all dependencies for react project, and more using natural language, with authentication handled for you.

Get started for freeGet a demo
Npm logoNpm
Api Key

Npm is the default package manager for JavaScript and Node.js projects. It streamlines dependency management and code sharing for developers.

12 Tools

Introduction

This guide walks you through connecting Npm to AutoGen using the Composio tool router. By the end, you'll have a working Npm agent that can search packages, fetch package metadata, track download counts, check security advisories, and follow registry changes through natural language commands.

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

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

Also integrate Npm with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKGrok BotCodexKimi CodeOpenClawHermesAtomic AgentCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAIPydantic AI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Npm
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Npm tools
  • Run a live chat loop where you ask the agent to perform Npm operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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

The Npm MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Npm account. It provides structured and secure access to your Npm ecosystem, so your agent can perform actions like searching for packages, retrieving metadata, managing dependencies, publishing new versions, and analyzing project stats on your behalf.

  • Package discovery and search: Instantly ask your agent to look up packages, find alternatives, or fetch the latest releases for specific libraries.
  • Retrieve package metadata: Let your agent pull detailed information about any Npm package, including version history, maintainers, and dependencies.
  • Automated dependency management: Have your agent analyze and update dependencies, check for outdated packages, or suggest upgrades to keep your project secure and efficient.
  • Publishing and versioning: Enable your agent to publish new package versions, update package details, or manage release workflows directly through Npm.
  • Project insights and stats: Get your agent to surface download counts, popularity trends, or other analytics on package usage to inform your development decisions.

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Npm account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Npm via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Npm connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Npm session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["npm"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Npm tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Npm assistant agent with MCP tools
    agent = AssistantAgent(
        name="npm_assistant",
        description="An AI assistant that helps with Npm operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Npm tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Npm related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Npm tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Npm and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Npm session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["npm"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Npm assistant agent with MCP tools
        agent = AssistantAgent(
            name="npm_assistant",
            description="An AI assistant that helps with Npm operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

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

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Npm through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Npm, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Delete User Token (Legacy)

Tool to delete a user authentication token using the legacy endpoint.

Get All Packages Download Count Point

Get total npm registry download statistics for all packages for a specified time period.

Get NPM Download Counts Point

Get total npm download counts and start/end dates for a single package, including scoped packages, over a preset period or custom date range.

Get NPM Package Download Counts Over Date Range

Tool to get download counts for an npm package over a specified date range.

Get All NPM Packages Download Counts by Period

Tool to get daily download counts for all npm packages over a specified period.

Get Registry Changes Feed

Fetch a batch of npm registry changes for replication, with optional sequence and limit controls.

Get NPM Registry Meta

Retrieves npm registry metadata via meta endpoints.

Get NPM Package Version Downloads (Last 7 Days)

Tool to get download counts for specific versions of a package over the last 7 days.

Query Bulk Security Advisories

Tool to bulk query security advisories for multiple npm packages.

Get NPM Package Metadata

Tool to fetch metadata for a specified npm package.

Get NPM Registry Root Metadata

Fetches npm registry root metadata including total package count and update sequence.

Search NPM Packages

Search npm registry packages matching a search term.

FRAMEWORKS

How to build Npm MCP Agent with another framework

Claude Code logo

Claude Code

Use Npm MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Npm MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Npm MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Npm MCP with Claude Agent SDK

Grok Bot logo

Grok Bot

Use Npm MCP with Grok Bot

Codex logo

Codex

Use Npm MCP with Codex

Kimi Code logo

Kimi Code

Use Npm MCP with Kimi Code

OpenClaw logo

OpenClaw

Use Npm MCP with OpenClaw

Hermes logo

Hermes

Use Npm MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Npm MCP with Atomic Agent

CLI logo

CLI

Use Npm MCP with CLI

Google ADK logo

Google ADK

Use Npm MCP with Google ADK

LangChain logo

LangChain

Use Npm MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Npm MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Npm MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Npm MCP with LlamaIndex

CrewAI logo

CrewAI

Use Npm MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Npm MCP with Pydantic AI

FAQ

Frequently asked questions

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

Yes, you can. Autogen 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 Npm tools.

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

Start with Npm.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Npm tool your agent needs.Free to start.

Start building