How do I find my Ahrefs API v3 Token?

Log in to Ahrefs as a workspace owner or admin, navigate to **Account settings** > **API keys**, and create a new key. Note that API v3 is the current standard; v2 is deprecated.

Does this integration consume Ahrefs API units?

Yes! Ahrefs uses a unit-based system. Every request costs at least 50 units, and the total cost depends on the number of rows and fields retrieved.

Can I analyze competitor domains?

Absolutely. You can provide any domain or URL to the Site Explorer tools to retrieve their backlink profiles, Domain Rating, and organic traffic data.

Ahrefs MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Ahrefs
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Ahrefs through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "ahrefs": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Ahrefs, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Ahrefs MCP Server

Connect your Ahrefs account to your AI agent to unlock the world's most powerful SEO data platform. From auditing domain ratings and backlink profiles to researching keyword difficulty and monitoring SERP rankings, your agent handles your organic growth strategy through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Ahrefs through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Site Explorer — List and audit backlinks, broken links, and referring domains for any website
Keyword Research — Retrieve keyword metrics (volume, difficulty, CPC) and generate related keyword ideas
Organic Traffic Auditing — List top-performing pages and the organic keywords a domain ranks for
SERP Analysis — Retrieve real-time search results for any keyword across different countries
SEO Health Monitoring — Quickly retrieve Domain Rating (DR) and Ahrefs Rank to monitor authority trends

The Ahrefs MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Ahrefs to LangChain via MCP

Follow these steps to integrate the Ahrefs MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Ahrefs via MCP

Why Use LangChain with the Ahrefs MCP Server

LangChain provides unique advantages when paired with Ahrefs through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Ahrefs MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Ahrefs queries for multi-turn workflows

Ahrefs + LangChain Use Cases

Practical scenarios where LangChain combined with the Ahrefs MCP Server delivers measurable value.

RAG with live data: combine Ahrefs tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Ahrefs, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Ahrefs tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Ahrefs tool call, measure latency, and optimize your agent's performance

Ahrefs MCP Tools for LangChain (10)

These 10 tools become available when you connect Ahrefs to LangChain via MCP:

get_backlinks_stats

Get backlink summary

get_domain_overview

Get domain SEO metrics

get_keyword_overview

Get keyword metrics

get_keyword_volume_history

Get historical search volume

get_serp_overview

Analyze search results

list_backlinks

List website backlinks

list_broken_backlinks

Identify 404 broken links

list_keyword_ideas

Generate keyword ideas

list_organic_keywords

List ranking keywords

list_top_pages

List top performing pages

Example Prompts for Ahrefs in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Ahrefs immediately.

"Show me the domain overview for 'ahrefs.com'."

"List 10 backlinks for 'example.com' with the highest Domain Rating."

"Check keyword metrics for 'best SEO tools' in the US."

Troubleshooting Ahrefs MCP Server with LangChain

Common issues when connecting Ahrefs to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Ahrefs + LangChain FAQ

Common questions about integrating Ahrefs MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.