How to integrate Archive.org MCP with LangChain

This guide walks you through connecting Archive.org to LangChain using the Composio tool router. By the end, you'll have a working Archive.org agent that can search collections, download item files, inspect wayback captures, fetch iiif manifests, and manage item metadata through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Archive.org account through Composio's Archive.org MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Archive.org is the Internet Archive's digital library of websites, books, audio, video, and images. Use it to preserve, explore, and access historical web captures and public-domain media.

26 Tools

Introduction

This guide walks you through connecting Archive.org to LangChain using the Composio tool router. By the end, you'll have a working Archive.org agent that can search collections, download item files, inspect wayback captures, fetch iiif manifests, and manage item metadata through natural language commands.

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

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

Also integrate Archive.org with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Archive.org project to Composio
  • Create a Tool Router MCP session for Archive.org
  • Initialize an MCP client and retrieve Archive.org tools
  • Build a LangChain agent that can interact with Archive.org
  • 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 Archive.org MCP server, and what's possible with it?

The Archive.org MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Archive.org account. It provides structured and secure access to archived content, Wayback captures, item records, usage analytics, and account tasks, so your agent can search collections, retrieve files, manage items, inspect activity, and handle reviews on your behalf.

  • Content search and retrieval: Have your agent search Archive.org by keywords and metadata, inspect complete item records, and download public files.
  • Wayback history research: Instruct your agent to find the closest archived version of a web page or list available captures for a website.
  • Item and file management: Direct your agent to check identifier availability, upload, copy, or delete files, update item metadata, and request new derivatives.
  • Images, manifests, and analytics: Let the agent inspect IIIF image details and manifests, render selected image regions, and review item views, history, geography, and referrers.
  • Account tasks and reviews: Have your agent check your account details, monitor catalog tasks and limits, read task logs, and create, update, retrieve, or delete your reviews.

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 Archive.org 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 Archive.org 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: ['archive_org']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Archive.org 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 Archive.org tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "archive_org-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 Archive.org MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Archive.org 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 Archive.org 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 Archive.org 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: ['archive_org']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "archive_org-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 Archive.org 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 Archive.org 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 Archive.org action and event your agent gets out of the box.

Advanced Search Archive.org Items

Search Archive.

Check Identifier Availability

Check whether an Archive.

Check Archive.org Upload Limit

Check whether Archive.

Copy Item File

Copy one Archive.

Delete Item File

Submit asynchronous deletion of one named file from an Archive.

Delete My Archive.org Review

Permanently delete the connected Archive.

Derive Archive.org Item

Queue Archive.

Download Item File

Download one public file from an Archive.

Find Wayback Snapshots

Find the closest archived Wayback Machine snapshot for each requested URL, using one before, after, or either direction for the batch.

Get Connected Archive.org User

Return the authenticated Archive.

Get Detailed Archive.org Views

Get bounded geographic view analytics and, for items, top referrers over a recent window or date range.

Get IIIF Image Info

Get normalized IIIF Image API capabilities through Archive.

Get IIIF Manifest

Get a compact IIIF Presentation manifest for an Archive.

Get Item Metadata

Get an Archive.

Get Item View Counts

Get all-time, last-30-day, and last-7-day view counts for one or more Archive.

Get Item View History

Get a bounded daily view history for one Archive.

Get My Review

Get the connected Archive.

Get Archive.org Task Log

Download a plain-text log for a task visible to the connected account.

Get Task Rate Limits

Report the connected account's current task capacity and in-flight counts for one Archive.

List Archive.org Tasks

Return any documented combination of the connected account's task summary, active catalog, and resource-authorized history, one page at a time.

List Wayback Captures

Return one bounded structured CDX page of Wayback captures for a URL or host.

Render IIIF Image

Render a bounded crop, resize, rotation, quality, and format from a fixed Archive.

Search Archive.org Items

Search Archive.

Update Item Metadata

Apply JSON Patch changes to one Archive.

Upload Item File

Create or replace one file through Archive.

Upsert My Archive.org Review

Create or overwrite the connected Archive.

FRAMEWORKS

How to build Archive.org MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Archive.org MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Archive.org MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Archive.org MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Archive.org MCP with Claude Cowork

Codex logo

Codex

Use Archive.org MCP with Codex

OpenClaw logo

OpenClaw

Use Archive.org MCP with OpenClaw

Hermes logo

Hermes

Use Archive.org MCP with Hermes

CLI logo

CLI

Use Archive.org MCP with CLI

Google ADK logo

Google ADK

Use Archive.org MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Archive.org MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Archive.org MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Archive.org MCP with LlamaIndex

CrewAI logo

CrewAI

Use Archive.org MCP with CrewAI

FAQ

Frequently asked questions

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

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

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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.

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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.

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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.

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