How to integrate Serpapi MCP with Pydantic AI

This guide walks you through connecting Serpapi to Pydantic AI 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 Pydantic AI 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.

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Serpapi

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SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research.

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Introduction

This guide will help you understand how to give your Pydantic AI 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 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:

How to set up your Composio API key and User ID
How to create a Composio Tool Router session for Serpapi
How to attach an MCP Server to a Pydantic AI agent
How to stream responses and maintain chat history
How to build a simple REPL-style chat interface to test your Serpapi workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

Type Safety: Built on Pydantic for automatic data validation
MCP Support: Native support for Model Context Protocol servers
Streaming: Built-in support for streaming responses
Async First: Designed for async/await patterns

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.

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

Step by step09 STEPS

Prerequisites

Before starting, make sure you have:

Python 3.9 or higher
A Composio account with an active API key
Basic familiarity with Python and async programming

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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

composio connects your agent to external SaaS tools like Serpapi
pydantic-ai lets you create structured AI agents with tool support
python-dotenv loads your environment variables securely from a .env file

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates your agent to Composio's API
USER_ID associates your session with your account for secure tool access
OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

What's happening:

We load environment variables and import required modules
Composio manages connections to Serpapi
MCPServerStreamableHTTP connects to the Serpapi MCP server endpoint
Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Serpapi
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["serpapi"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

What's happening:

We're creating a Tool Router session that gives your agent access to Serpapi tools
The create method takes the user ID and specifies which toolkits should be available
The returned session.mcp.url is the MCP server URL that your agent will use

Initialize the Pydantic AI Agent

python

# Attach the MCP server to a Pydantic AI Agent
serpapi_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[serpapi_mcp],
    instructions=(
        "You are a Serpapi assistant. Use Serpapi tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)

What's happening:

The MCP client connects to the Serpapi endpoint
The agent uses GPT-5 to interpret user commands and perform Serpapi operations
The instructions field defines the agent's role and behavior

Build the chat interface

python

# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Serpapi.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()

What's happening:

The agent reads input from the terminal and streams its response
Serpapi API calls happen automatically under the hood
The model keeps conversation history to maintain context across turns

Run the application

python

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

What's happening:

The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Serpapi and Pydantic AI:

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Serpapi
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["serpapi"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    serpapi_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[serpapi_mcp],
        instructions=(
            "You are a Serpapi assistant. Use Serpapi tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Serpapi.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

Conclusion

You've built a Pydantic AI agent that can interact with Serpapi through Composio's Tool Router. With this setup, your agent can perform real Serpapi actions through natural language. You can extend this further by:

Adding other toolkits like Gmail, HubSpot, or Salesforce
Building a web-based chat interface around this agent
Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Serpapi for workflow automation)

This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

TOOLS

Supported Tools

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

Search Baidu with Query

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

Bing Maps Search

Tool to scrape Bing Maps results using SerpApi.

Bing Search

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

DuckDuckGo Light Search

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

DuckDuckGo Maps search

Scrapes DuckDuckGo Maps results via SerpApi.

DuckDuckGo search

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

eBay Search

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

Search Google Events

Searches for events (e.

Search finance

Retrieves structured financial information (e.

Get Location Options

Tool to get available location options for Google searches.

Get Facebook profile information

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

Get Google About This Result

Tool to get Google 'About this result' information for a website.

Get Google Hotels Autocomplete

Tool to get autocomplete suggestions for Google Hotels destination searches.

Get Google Images Related Content

Get related content for a specific Google Images result.

Get Google Patent Details

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

Get Search Archive

Tool to retrieve results from a previous async search using its search ID.

Google Domains List

Retrieve the list of supported Google domains for search queries.

Google Forums Search

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

Google Jobs Search

Retrieve Google Jobs Search Results via SerpApi.

Google Lens search

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

Google Light Search

Retrieve Google Light Search Results via SerpApi.

Google Maps Posts

Scrapes Google Maps Posts for a business location via SerpApi.

Google maps search

Performs a Google Maps search via SERP API.

Google Play Product Search

Tool to retrieve detailed Google Play product information using SerpApi.

Google Scholar Author Profile

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

Google Scholar Cite

Scrapes full Google Scholar Citations with multiple citation formats.

Google Videos Light Search

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

Hotel Search

Retrieve Google Hotel Search Results.

Image search

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

Naver Search

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

Search for news articles

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

OpenTable Reviews Search

Tool to scrape OpenTable restaurant reviews using SerpApi.

Google Play Search

Retrieve Google Play Store Search Results.

Search Google Scholar

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

Serp API search

Performs 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 Store

Tool to search Apple App Store for iOS and Mac apps.

Google Images Light Search

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

Search Google Local Services

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

Search Yelp businesses

Tool to search Yelp for businesses and places using SerpApi.

Shopping search

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

Google Trends search

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

Walmart Product Reviews

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

Walmart Search

Retrieve Walmart Search Results.

Yahoo Search

Retrieve Yahoo!

Yahoo Videos Search

Scrape Yahoo!

Yandex Images Search

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

Yandex Search

Retrieve Yandex Search Results.

YouTube Search

Retrieve YouTube Search Results.

FRAMEWORKS

How to build Serpapi MCP Agent with another framework

ChatGPT

Use Serpapi MCP with ChatGPT

OpenAI Agents SDK

Use Serpapi MCP with OpenAI Agents SDK

Claude Agent SDK

Use Serpapi MCP with Claude Agent SDK

Claude Code

Use Serpapi MCP with Claude Code

Claude Cowork

Use Serpapi MCP with Claude Cowork

Codex

Use Serpapi MCP with Codex

Cursor

Use Serpapi MCP with Cursor

OpenClaw

Use Serpapi MCP with OpenClaw

Hermes

Use Serpapi MCP with Hermes

CLI

Use Serpapi MCP with CLI

Google ADK

Use Serpapi MCP with Google ADK

LangChain

Use Serpapi MCP with LangChain

Vercel AI SDK

Use Serpapi MCP with Vercel AI SDK

Mastra AI

Use Serpapi MCP with Mastra AI

LlamaIndex

Use Serpapi MCP with LlamaIndex

CrewAI

Use Serpapi MCP with CrewAI

OpenCode

Use Serpapi MCP with OpenCode

VS Code

Use Serpapi MCP with VS Code

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Firecrawl

Api Key

Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources.

Tavily

Api Key

Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.

Exa

Api Key

Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows.

Peopledatalabs

Api Key

Peopledatalabs delivers B2B data enrichment and identity resolution APIs. Supercharge your apps with accurate, up-to-date business and contact data.

FAQ

Frequently asked questions

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.

Yes, you can. Pydantic AI 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.

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.

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.

Start with Serpapi.It takes 30 seconds.

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

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

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

Harsha Gaddipati

Co-founder, Slashy

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's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

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

Nirman Dave

CEO, Zams

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

Ryan Yu

Founder, Extra Thursday

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

Tomisin Jenrola

Founder & CEO, SwarmZero

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.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Serpapi MCP with Pydantic AI

Connect Serpapi without auth hassles

Introduction

Also integrate Serpapi with

TL;DR

What is Pydantic AI?

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

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

Create a Tool Router Session

Initialize the Pydantic AI Agent

Build the chat interface

Run the application

Complete Code

Conclusion

Supported Tools

How to build Serpapi MCP Agent with another framework

ChatGPT

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

Peopledatalabs

Frequently asked questions

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

Can I use Tool Router MCP with Pydantic AI?+

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

How safe is my data with Composio Tool Router?+

Start with Serpapi.It takes 30 seconds.

Teams ship real agents on Composio