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How to integrate Exa MCP with Pydantic AI

Connect Pydantic AI to Exa MCP. Summarize recent news articles on ai safety, find similar research papers to this url, and more using natural language, with authentication handled for you.

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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.

64 Tools

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Introduction

This guide walks you through connecting Exa to Pydantic AI using the Composio tool router. By the end, you'll have a working Exa agent that can search the web, generate answers, fetch page contents, build and enrich Websets, and set up search monitors through natural language commands.

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

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

Also integrate Exa with

Claude Code Claude Cowork OpenAI Agents SDK Claude Agent SDK Grok Bot Muse Codex OpenClaw Hermes Atomic Agent Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI AutoGen

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 Exa
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 Exa 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 Exa MCP server, and what's possible with it?

The Exa MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Exa account. It provides structured and secure access to Exa’s web search, content extraction, and research tools, so your agent can search the web, generate cited answers, retrieve website content, conduct in-depth research, and organize findings on your behalf.

Web search: Have your agent search the web with Exa to find relevant sources for a topic, question, company, or market.
Citation-backed answers: Ask the agent to answer specific questions or summarize broad topics using supporting web sources and citations.
Website content extraction: Direct your agent to retrieve text, highlights, summaries, and linked subpages from websites or saved documents.
Multi-step research: Let the agent start research tasks, check their progress, and return synthesized findings with citations when the work is complete.
Research collection management: Instruct your agent to create or delete web collections, import data into them, review imports, add enrichment, and set up monitors.

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 Exa
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 Exa
MCPServerStreamableHTTP connects to the Exa 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 Exa
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["exa"],
    )
    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 Exa 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
exa_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[exa_mcp],
    instructions=(
        "You are a Exa assistant. Use Exa tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)

What's happening:

The MCP client connects to the Exa endpoint
The agent uses GPT-5 to interpret user commands and perform Exa 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 Exa.\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
Exa 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 Exa 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 Exa
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["exa"],
    )
    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
    exa_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[exa_mcp],
        instructions=(
            "You are a Exa assistant. Use Exa 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 Exa.\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 Exa through Composio's Tool Router. With this setup, your agent can perform real Exa 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 + Exa 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 Exa action and event your agent gets out of the box.

Generate an answer

Generates a direct, citation-backed answer to a clear natural language question or topic using Exa's search, adept at both specific answers and detailed summaries for open-ended queries.

Batch Search Monitors

Delete, pause, or unpause one batch of matching Search API monitors, not Websets monitors.

Cancel Agent Run

Cancel a queued or running Agent run immediately without returning results.

Cancel Webset

Cancel all operations on a Webset, stopping searches and enrichments.

Cancel Webset Enrichment

Cancel a running Webset enrichment and return its updated state.

Cancel Webset Search

Cancel a running search in a Webset and return its updated state.

Create Agent Run

Start an asynchronous Exa Agent run for multi-step web research or enrichment.

Create API Key

Create an API key for the authenticated Exa team.

Create Import

Tool to create a new import to upload data into a Webset.

Create a Monitor

Tool to create a new Monitor.

Create Search Monitor

Create a Search API monitor that delivers new, deduplicated search results to a webhook.

Create Webhook

Create a webhook delivering selected events to your URL.

Create Webset

Tool to create a new Webset with search, import, and enrichment setup.

Create Webset Enrichment

Create an enrichment task for items in an existing Webset.

Create Webset Search

Create a search for an existing Webset and return its initial state.

Delete Agent Run

Delete a stored Exa Agent run by ID and return its deletion receipt.

Delete API Key

Delete an API key belonging to the authenticated team using a Team Management service key.

Delete import

Tool to delete an existing import.

Delete Search Monitor

Permanently delete a Search API monitor and return the deleted monitor.

Delete Webhook

Delete a webhook, making its status inactive and stopping future deliveries to its URL.

Delete webset

Tool to delete a Webset.

Delete Webset Enrichment

Delete a Webset enrichment and return the deleted enrichment.

Delete Webset Item

Delete an item from a Webset and return the deleted item.

Delete Websets Monitor

Delete a Websets monitor and return the deleted monitor.

Get Agent Run

Retrieve an Agent run to inspect its status, output, citations, usage, or cost.

Get API Key

Tool to retrieve details of a specific API key by its ID.

Get API Key Usage

Get an Exa API key's total cost and cost breakdown for a time period.

Get contents from URLs or document IDs

Retrieve text / highlights / summary / subpages from URLs.

Get Event

Tool to get details of a specific event by its ID.

Get Import

Retrieve an import by ID to inspect its status, entity count, and failure details.

Get Search Monitor

Retrieve a Search API monitor's configuration, status, and next scheduled run by ID.

Get Search Monitor Run

Retrieve a Search API monitor run's status and full output when completed.

Get Webhook

Retrieve a webhook's status, events, destination URL, and metadata by ID.

Get Webset

Retrieve a Webset by ID or external ID, including its status and operations.

Get Webset Enrichment

Retrieve an enrichment configured on a Webset, including its status, description, format, and options.

Get Webset Item

Retrieve a Webset item by ID, including its properties, evaluations, and enrichments.

Get Webset Search

Retrieve a Webset search by ID to inspect its status, progress, and recall metrics.

Get Websets Monitor

Retrieve a Websets monitor's status, schedule, search behavior, and last run.

Get Websets Monitor Run

Retrieve a Websets monitor run's status, type, timestamps, and failure reason.

Get Websets Team Info

Get the authenticated Websets team's identity, current concurrency usage, and limits.

List Agent Run Events

List one page of stored Exa Agent run events as JSON.

List Agent Runs

List one page of your team's Exa Agent runs, ordered newest to oldest.

List API Keys

List the authenticated Exa team's API keys, or retrieve one by API key ID.

List events

Tool to list all events that have occurred in the system.

List imports

Tool to list all imports for the Webset.

List Search Monitor Runs

List one page of a Search API monitor's runs, newest first, including status and output.

List Search Monitors

List one page of the authenticated team's Search API monitors, not Websets monitors.

List Webhook Attempts

List one page of a webhook's delivery attempts in descending order.

List webhooks

Tool to list all webhooks for Websets.

List Webset Items

List one page of a Webset's items, optionally filtered by source ID.

List Websets

List one page of Websets, optionally filtered by ID, external ID, or title.

List Websets Monitor Runs

List one page of runs for a Websets monitor, including status and timestamps.

List Websets Monitors

List one page of Websets monitors, optionally filtered by Webset ID.

Preview Webset

Preview how Exa interprets a search before creating a Webset.

Web search via the Exa engine.

Stop Agent Run

Complete a running ultra-effort Agent run early and return results gathered so far.

Trigger Search Monitor

Trigger an immediate Search API monitor run regardless of its schedule.

Update API Key

Update an API key's name, rate limit, or billing-period spending budget.

Update import

Tool to update an import configuration by ID.

Update Search Monitor

Update a Search API monitor's settings, pause or resume it, or remove its schedule with trigger=null.

Update Webhook

Update a webhook's destination URL, subscribed events, or metadata.

Update Webset

Update a Webset's title or metadata, leaving omitted fields unchanged.

Update Webset Enrichment

Update an enrichment's task, format, options, or metadata on a Webset.

Update Websets Monitor

Update a Websets monitor's status, schedule, search behavior, or metadata.

FRAMEWORKS

How to build Exa MCP Agent with another framework

Claude Code

Use Exa MCP with Claude Code

Claude Cowork

Use Exa MCP with Claude Cowork

OpenAI Agents SDK

Use Exa MCP with OpenAI Agents SDK

Claude Agent SDK

Use Exa MCP with Claude Agent SDK

Grok Bot

Use Exa MCP with Grok Bot

Muse

Use Exa MCP with Muse

Codex

Use Exa MCP with Codex

OpenClaw

Use Exa MCP with OpenClaw

Hermes

Use Exa MCP with Hermes

Atomic Agent

Use Exa MCP with Atomic Agent

Google ADK

Use Exa MCP with Google ADK

LangChain

Use Exa MCP with LangChain

Vercel AI SDK

Use Exa MCP with Vercel AI SDK

Mastra AI

Use Exa MCP with Mastra AI

LlamaIndex

Use Exa MCP with LlamaIndex

CrewAI

Use Exa MCP with CrewAI

AutoGen

Use Exa MCP with AutoGen

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.

Serpapi

Api Key

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.

Excel

Oauth2S2s Oauth2

Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.

FAQ

Frequently asked questions

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

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

Start with Exa.It takes 30 seconds.

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

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How to integrate Exa MCP with Pydantic AI

Connect Exa without auth hassles

Introduction

Also integrate Exa with

TL;DR

What is Pydantic AI?

What is the Exa 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 Exa MCP Agent with another framework

Claude Code

Claude Cowork

OpenAI Agents SDK

Claude Agent SDK

Grok Bot

Muse

Codex

OpenClaw

Hermes

Atomic Agent

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

AutoGen

Explore Other Toolkits

Firecrawl

Tavily

Serpapi

Excel

Frequently asked questions

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

Can I use Tool Router MCP with Pydantic AI?+

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

How safe is my data with Composio Tool Router?+

Start with Exa.It takes 30 seconds.