How to integrate Ahrefs MCP with LangChain

This guide walks you through connecting Ahrefs to LangChain using the Composio tool router. By the end, you'll have a working Ahrefs agent that can get domain rating trend for competitor site, list all broken backlinks for your website, find keyword volume for 'ai tools' in us through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Ahrefs account through Composio's Ahrefs MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic.

40 Tools

Introduction

This guide walks you through connecting Ahrefs to LangChain using the Composio tool router. By the end, you'll have a working Ahrefs agent that can get domain rating trend for competitor site, list all broken backlinks for your website, find keyword volume for 'ai tools' in us through natural language commands.

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

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

Also integrate Ahrefs 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 Ahrefs project to Composio
  • Create a Tool Router MCP session for Ahrefs
  • Initialize an MCP client and retrieve Ahrefs tools
  • Build a LangChain agent that can interact with Ahrefs
  • 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 Ahrefs MCP server, and what's possible with it?

The Ahrefs MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ahrefs account. It provides structured and secure access to your SEO and marketing data, so your agent can perform actions like analyzing backlinks, researching keywords, auditing domain authority, and uncovering competitive insights on your behalf.

  • Comprehensive backlink analysis: Instantly retrieve detailed backlink profiles, stats, and broken link data for any website to inform your SEO strategy or spot link-building opportunities.
  • Keyword research and trends: Explore keyword overviews, search volumes by country, and discover matching or related terms to optimize content and target the right audience.
  • Domain authority tracking: Fetch up-to-date domain ratings or track historical changes to monitor the SEO health and growth of your own sites or competitors over time.
  • Batch competitor and site analysis: Analyze up to 100 domains or URLs at once to compare SEO metrics, spot weaknesses, and benchmark your performance against competitors efficiently.
  • Outbound link and partnership insights: Identify all external domains a site links to, helping you understand content strategy, partnerships, and potential link-building prospects.

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 Ahrefs 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 Ahrefs 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: ['ahrefs']
    }
);

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

Configure the agent with the MCP URL

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

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

Backlinks stats retrieval

Retrieves comprehensive backlink statistics for a specified website or URL using Ahrefs' Site Explorer tool.

Batch Url Analysis

Performs a batch analysis on multiple URLs or domains using Ahrefs' powerful SEO metrics.

Domain rating for site explorer

Retrieves the Domain Rating (DR) for a specified domain.

Domain rating history

Retrieves the historical Domain Rating (DR) data for a specified domain over time.

Explore keywords overview

Retrieves a comprehensive overview of keyword data from Ahrefs' Keywords Explorer tool.

Explore keyword volume by country

Retrieves the search volume data for specified keywords across different countries using Ahrefs' Keywords Explorer tool.

Explore linked domains of a site

Retrieves a list of external domains that the specified target website or URL links to, using Ahrefs' Site Explorer functionality.

Explore matching terms for keywords

The keywords_explorer_matching_terms endpoint retrieves a list of keyword phrases that match or contain the specified keyword from Ahrefs' vast database.

Fetch all backlinks

Retrieves a comprehensive list of backlinks for a specified website or URL using Ahrefs' Site Explorer tool.

Fetch broken backlinks data

Retrieves a list of broken backlinks for a specified website using Ahrefs' Site Explorer tool.

Fetch competitors overview

Retrieves a comprehensive overview of competitor data in relation to keyword rankings and organic search performance.

Fetch rank tracker overview

The GetRankTrackerOverview endpoint retrieves a comprehensive summary of keyword rankings and SEO performance data from Ahrefs' Rank Tracker tool.

Fetch site explorer referring domains

Retrieves a list of domains that have backlinks pointing to a specified target website.

Fetch total search volume history

Retrieves the historical total search volume data for specified keywords using Ahrefs' Site Explorer tool.

Get serp overview

Retrieves a comprehensive overview of Search Engine Results Pages (SERP) data for specified keywords or queries.

Get site audit projects

Retrieves a list of Site Audit projects associated with the authenticated Ahrefs account.

Get site explorer country metrics

Retrieves country-specific Site Explorer metrics for a given website from Ahrefs.

Get site explorer linked anchors external

The site-explorer-linked-anchors-external endpoint retrieves data about external anchor texts linking to a specified target website.

Get url rating history

Retrieves the historical URL Rating data for a specified URL over time.

Linked anchors explorer

Retrieves information about internal linked anchors for a specified website using the Ahrefs API.

List best by external links

The 'get_best_by_external_links' endpoint retrieves a list of pages from a specified website, ranked by the number of external links pointing to them.

Pages by traffic overview

Retrieves a list of pages from a specified website, ordered by their estimated organic search traffic.

Retrieve anchor data

Retrieves anchor text data for a specified website or URL using Ahrefs' Site Explorer tool.

Retrieve best by internal links

Retrieves data on the best-performing internal links within a specified website using Ahrefs' Site Explorer feature.

Retrieve crawler ip ranges

Retrieves the list of IP address ranges used by Ahrefs' web crawler (AhrefsBot).

Retrieve organic competitors

The GetOrganicCompetitors endpoint in the Ahrefs API provides a comprehensive analysis of websites competing for organic search rankings with a specified target domain.

Retrieve organic keywords

Retrieves organic keywords data for a specified website using Ahrefs' Site Explorer tool.

Retrieve outlinks stats

Retrieves comprehensive statistics about outgoing links (outlinks) from a specified website using Ahrefs' Site Explorer tool.

Retrieve paid pages data

Retrieves information about paid pages (PPC advertising) for a specified website using Ahrefs' Site Explorer tool.

Retrieve public crawler ips

Retrieves a list of IP addresses currently used by AhrefsBot, Ahrefs' web crawler.

Retrieve related terms

The keywords_explorer_related_terms endpoint retrieves a list of related terms for a given keyword using Ahrefs' extensive keyword database.

Retrieve site explorer keywords history

Retrieves historical keyword performance data for a specified website or domain using Ahrefs' Site Explorer.

Retrieve site explorer metrics

The GetSiteExplorerMetrics endpoint retrieves comprehensive SEO metrics for a specified website using Ahrefs' Site Explorer tool.

Retrieve site explorer metrics history

Retrieves historical SEO metrics data for a specified website over a given time period.

Retrieve site explorer pages history

The get_site_explorer_pages_history endpoint retrieves historical data about specific pages or domains from Ahrefs' Site Explorer.

Retrieve site explorer referring domains history

Retrieves the historical data of referring domains for a specified website or URL over time.

Retrieve subscription limits and usage

Retrieves detailed information about the current subscription limits and usage for an Ahrefs account.

Retrieve top pages from site explorer

Retrieves data about the top-performing pages of a specified website using Ahrefs' Site Explorer tool.

Retrieve volume history

Retrieves the historical search volume data for a specified keyword using Ahrefs' Keywords Explorer tool.

Search suggestions explorer

Retrieves search suggestions for a given keyword or phrase using Ahrefs' Keywords Explorer tool.

FRAMEWORKS

How to build Ahrefs MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Ahrefs MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Ahrefs MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Ahrefs MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Ahrefs MCP with Claude Cowork

Codex logo

Codex

Use Ahrefs MCP with Codex

OpenClaw logo

OpenClaw

Use Ahrefs MCP with OpenClaw

Hermes logo

Hermes

Use Ahrefs MCP with Hermes

CLI logo

CLI

Use Ahrefs MCP with CLI

Google ADK logo

Google ADK

Use Ahrefs MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Ahrefs MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Ahrefs MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Ahrefs MCP with LlamaIndex

CrewAI logo

CrewAI

Use Ahrefs MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, absolutely. You can configure which Ahrefs 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 Ahrefs 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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