How to Use the Ahrefs MCP in LlamaIndex
Index live SEO data into LlamaIndex to build queryable knowledge bases.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ahrefs MCP to LlamaIndex
Create your Vinkius account to connect Ahrefs to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Index Ahrefs data in LlamaIndex
Call `get_serp_overview` and pipe the results into your vector store. LlamaIndex turns these search results into a searchable history of your rankings. This lets you query your historical performance. You get answers grounded in your actual API data instead of generic SEO advice.
Perform semantic search on Ahrefs metrics
Use `list_top_pages` to feed your index with your best-performing content. Your agent can then compare these results against your internal documents. It effectively turns your SEO reports into a queryable database. You ask questions about your site health and get precise answers derived from live API calls.
Ground your RAG agent with Ahrefs
Combine `get_keyword_volume_history` with your internal sales data in the index. Your RAG setup can now correlate search trends with your own revenue logs. This builds a unified view of your business. Your agent uses this combined knowledge to draft reports that actually reflect your current market position.
Set up Ahrefs MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Ahrefs MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Ahrefs tools.",
)
response = await agent.run("List recent Ahrefs data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ahrefs. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Ahrefs MCP in LlamaIndex
Use it with your favorite AI tools
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