SIGN UPLOG IN
X (Twitter)LinkedInGitHubDiscordYouTube

How to integrate Exa MCP with LangChain

Connect LangChain 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.

Get started for freeGet a demo
Exa logoExa
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

Introduction

This guide walks you through connecting Exa to LangChain 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 LangChain 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 CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKGrok BotMuseCodexOpenClawHermesAtomic AgentGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAIPydantic AIAutoGen

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Exa project to Composio
  • Create a Tool Router MCP session for Exa
  • Initialize an MCP client and retrieve Exa tools
  • Build a LangChain agent that can interact with Exa
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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:

  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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Exa functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Exa tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['exa']
    }
);

const url = session.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
  • This approach allows the agent to dynamically load and use Exa tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "exa-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Exa MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Exa tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

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

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Exa and LangChain:

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['exa']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "exa-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Exa related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with Exa through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
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.

Search

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 logo

Claude Code

Use Exa MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Exa MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Exa MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Exa MCP with Claude Agent SDK

Grok Bot logo

Grok Bot

Use Exa MCP with Grok Bot

Muse logo

Muse

Use Exa MCP with Muse

Codex logo

Codex

Use Exa MCP with Codex

OpenClaw logo

OpenClaw

Use Exa MCP with OpenClaw

Hermes logo

Hermes

Use Exa MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Exa MCP with Atomic Agent

Google ADK logo

Google ADK

Use Exa MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Exa MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Exa MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Exa MCP with LlamaIndex

CrewAI logo

CrewAI

Use Exa MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Exa MCP with Pydantic AI

AutoGen logo

AutoGen

Use Exa MCP with AutoGen

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. LangChain 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.

Start building