How to integrate Ahrefs MCP with Autogen

This guide walks you through connecting Ahrefs to AutoGen 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 AutoGen 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.

Ahrefs logoAhrefs
Api Key

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 AutoGen 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 AutoGen 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

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Ahrefs
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Ahrefs tools
  • Run a live chat loop where you ask the agent to perform Ahrefs operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Ahrefs account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Ahrefs via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Ahrefs connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Ahrefs session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["ahrefs"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Ahrefs tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Ahrefs assistant agent with MCP tools
    agent = AssistantAgent(
        name="ahrefs_assistant",
        description="An AI assistant that helps with Ahrefs operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Ahrefs tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Ahrefs related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Ahrefs tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Ahrefs and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Ahrefs session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["ahrefs"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Ahrefs assistant agent with MCP tools
        agent = AssistantAgent(
            name="ahrefs_assistant",
            description="An AI assistant that helps with Ahrefs operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

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

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

Conclusion

You now have an Autogen assistant wired into Ahrefs through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Ahrefs, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
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.

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. Autogen 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.

Start with Ahrefs.It takes 30 seconds.

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

Start building