Ahrefs MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ahrefs as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Ahrefs. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Ahrefs?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Ahrefs tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Ahrefs MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Ahrefs
Why Use LlamaIndex with the Ahrefs MCP Server
LlamaIndex provides unique advantages when paired with Ahrefs through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ahrefs tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ahrefs tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ahrefs, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ahrefs tools were called, what data was returned, and how it influenced the final answer
Ahrefs + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ahrefs MCP Server delivers measurable value.
Hybrid search: combine Ahrefs real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ahrefs to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Ahrefs for fresh data
Analytical workflows: chain Ahrefs queries with LlamaIndex's data connectors to build multi-source analytical reports
Ahrefs MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Ahrefs to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Ahrefs to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAhrefs + LlamaIndex FAQ
Common questions about integrating Ahrefs MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Ahrefs with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Ahrefs to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.