Serpapi with AutoGen

How to integrate Serpapi MCP with Autogen

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Introduction Also integrate Serpapi with TL;DR What is AutoGen What is the Serpapi MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Serpapi MCP Agent with another framework Explore Other Toolkits FAQ

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Introduction

This guide walks you through connecting Serpapi to AutoGen using the Composio tool router. By the end, you'll have a working Serpapi agent that can find latest job postings for python developers, show recent stock news for apple inc, list concerts happening in new york this week through natural language commands.

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

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

Also integrate Serpapi with

ChatGPT Antigravity OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

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 Serpapi
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Serpapi tools
Run a live chat loop where you ask the agent to perform Serpapi 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 Serpapi MCP server, and what's possible with it?

The Serpapi MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your SerpApi account. It provides structured and secure access to real-time search engine results, so your agent can perform actions like scraping search data, analyzing trends, retrieving product listings, and exploring local business information on your behalf.

Real-time web search across engines: Instantly fetch structured search results from Google, Bing, Baidu, and DuckDuckGo for any query, including organic results, ads, and rich snippets.
Product and marketplace data extraction: Automatically search eBay for products and retrieve detailed, structured product data to power research or price comparison workflows.
Event and job listings discovery: Let your agent search Google Events and Google Jobs to uncover upcoming events, conferences, or relevant job postings with granular location and keyword filters.
Financial and stock information retrieval: Seamlessly pull the latest company details, stock prices, market news, and trends from Google Finance using a simple query.
Location and map-based search: Enable your agent to perform Google Maps searches to find local businesses, attractions, or venues—complete with structured location data and optional GPS-based results.

Supported Tools & Triggers

Tools

Search Baidu with QuerySearch Baidu (Chinese search engine) and retrieve search results.

Bing Maps SearchTool to scrape Bing Maps results using SerpApi.

Bing SearchRetrieve Bing Search Engine Results via SerpAPI (requires active SerpAPI connection; if unavailable, use COMPOSIO_SEARCH_WEB or COMPOSIO_SEARCH_NEWS).

DuckDuckGo Light SearchTool to access the world's fastest DuckDuckGo Search API via SerpApi.

DuckDuckGo Maps searchScrapes DuckDuckGo Maps results via SerpApi.

DuckDuckGo searchPerforms a DuckDuckGo search via SerpApi to retrieve SERP data, including organic results, ads, and structured information.

eBay SearchRetrieve eBay Search Results via SerpApi (requires active SerpApi connected account).

Search Google EventsSearches for events (e.

Search financeRetrieves structured financial information (e.

Get Location OptionsTool to get available location options for Google searches.

Get Facebook profile informationTool to retrieve public information from a Facebook profile or page using SerpAPI.

Get Google About This ResultTool to get Google 'About this result' information for a website.

Get Google Hotels AutocompleteTool to get autocomplete suggestions for Google Hotels destination searches.

Get Google Images Related ContentGet related content for a specific Google Images result.

Get Google Patent DetailsTool to retrieve detailed information about a specific patent or scholar document from Google Patents via SerpApi.

Get Search ArchiveTool to retrieve results from a previous async search using its search ID.

Google Domains ListRetrieve the list of supported Google domains for search queries.

Google Forums SearchTool to scrape forum results from Google's Forums Platform using SerpApi.

Google Jobs SearchRetrieve Google Jobs Search Results via SerpApi.

Google Lens searchPerforms reverse image search using Google Lens to find visually similar images, products, and related content.

Google Light SearchRetrieve Google Light Search Results via SerpApi.

Google Maps PostsScrapes Google Maps Posts for a business location via SerpApi.

Google maps searchPerforms a Google Maps search via SERP API.

Google Play Product SearchTool to retrieve detailed Google Play product information using SerpApi.

Google Scholar Author ProfileScrapes full Google Scholar Author page including articles, citations, metrics, and co-authors.

Google Scholar CiteScrapes full Google Scholar Citations with multiple citation formats.

Google Videos Light SearchTool to scrape Google Videos results using SerpApi's ultra-fast Google Videos Light API.

Hotel SearchRetrieve Google Hotel Search Results.

Image searchSearches Google Images via SERP API for a given query, returning structured image results.

Naver SearchTool to search Naver (South Korea's leading search engine) for Korean web results and content.

Search for news articlesSearches Google News (via SerpApi, `tbm=nws`) for articles matching a query; precise key-phrase queries yield best results.

OpenTable Reviews SearchTool to scrape OpenTable restaurant reviews using SerpApi.

Google Play SearchRetrieve Google Play Store Search Results.

Search Google ScholarSearches Google Scholar via SerpApi for academic literature, papers, articles, and citations based on a query.

Serp API searchPerforms a real-time Google search via the SerpAPI connection (must be active; if unavailable, use COMPOSIO_SEARCH_WEB or other COMPOSIO_SEARCH_* tools).

Search Apple App StoreTool to search Apple App Store for iOS and Mac apps.

Google Images Light SearchTool to scrape Google Images results using SerpApi's Google Images Light API.

Search Google Local ServicesSearch Google Local Services for service providers like electricians, plumbers, HVAC technicians, and more.

Search Yelp businessesTool to search Yelp for businesses and places using SerpApi.

Shopping searchSearches Google Shopping via SerpAPI for a specific product, returning structured listings in results.

Google Trends searchFetches Google Trends data; returns relative 0–100 interest indices (not absolute volumes) meaningful only when comparing queries within the same request.

Walmart Product ReviewsTool to scrape full Walmart product reviews using SerpApi's Walmart Product Reviews API.

Walmart SearchRetrieve Walmart Search Results.

Yahoo SearchRetrieve Yahoo!

Yahoo Videos SearchScrape Yahoo!

Yandex Images SearchTool to search Yandex Images for image results with advanced filters.

Yandex SearchRetrieve Yandex Search Results.

YouTube SearchRetrieve YouTube Search Results.

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:

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

Step-by-step Guide

Prerequisites

You will need:

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

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.

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 Serpapi via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

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 Serpapi connections to use

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 Serpapi session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["serpapi"]
    )
    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 Serpapi tools
session.mcp.url is the MCP endpoint that Autogen will connect to

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

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 Serpapi assistant agent with MCP tools
    agent = AssistantAgent(
        name="serpapi_assistant",
        description="An AI assistant that helps with Serpapi 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 Serpapi tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Serpapi 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 Serpapi 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 Serpapi 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 Serpapi session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["serpapi"]
    )
    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 Serpapi assistant agent with MCP tools
        agent = AssistantAgent(
            name="serpapi_assistant",
            description="An AI assistant that helps with Serpapi 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 Serpapi 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 Serpapi 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 Serpapi, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

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TOOLKIT MARKETPLACE

FAQ

What are the differences in Tool Router MCP and Serpapi MCP?

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

Can I use Tool Router MCP with Autogen?

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 Serpapi tools.

Can I manage the permissions and scopes for Serpapi while using Tool Router?

Yes, absolutely. You can configure which Serpapi 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.

How safe is my data with Composio Tool Router?

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 Serpapi data and credentials are handled as safely as possible.

Used by agents from

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

Get started for free Get a demo↗

Harsha GaddipatiCo-founder, Slashy

Karan skipped his own birthday party to fix our critical issue. It was 10 pm and he diverted his Waymo to help us instead. This really sets the bar, shows you the commitment you need to have when users rely on your software.

Abhi AryaCo-founder, Opennote

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

We chose Composio over Pipedream because it delivered depth where it mattered. It supported niche tools and tricky edge cases that other platforms simply ignored. Giving us confidence to scale without compromising.

Ryan YuFounder, Extra Thursday

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down in the complexities of managing agent auth would have been a death sentence for Extra Thursday.

Tomisin JenrolaFounder & CEO, SwarmZero

Before partnering with Composio, adding tool integrations was a slow, resource-intensive process. Each integration could take weeks or months of engineering time, and maintaining them meant constantly keeping up with API changes.

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

How to integrate Serpapi MCP with Autogen

Table of Contents

Connect Serpapi without Auth hassles

Introduction

Also integrate Serpapi with

TL;DR

What is AutoGen?

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

Supported Tools & Triggers

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

How to build Serpapi MCP Agent with another framework

ChatGPT

Antigravity

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Firecrawl

Tavily

Exa

FAQ

What are the differences in Tool Router MCP and Serpapi MCP?

Can I use Tool Router MCP with Autogen?

Can I manage the permissions and scopes for Serpapi while using Tool Router?

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability