Surfer SEO 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 Surfer SEO as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Surfer SEO. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Surfer SEO?"
)
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 Surfer SEO MCP Server
Bring industry-leading organic search optimization strategies dynamically into your conversational workflows with the Surfer SEO MCP connector. By empowering your LLM to act as a data-driven SEO strategist, you can instantly instantiate new Content Editors, analyze competitors’ prominent NLP terms, and generate full structural audits for any live URL directly from the prompt line. Prevent constant web navigation friction by programmatically evaluating metrics such as precise word counts and real-time Content Scores natively where your content is written.
LlamaIndex agents combine Surfer SEO 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
- Live Audits & Optimization — Rapidly inspect published pages analyzing structural deficits utilizing
create_seo_auditand systematically reviewing results withget_audit_details. - Content Editor Workflows — Initiate fresh NLP-guided writing templates invoking
create_content_editorand fetch essential prominent keywords operatingget_content_editor_details. - Deep SERP Analysis — Launch statistical data runs commanding
create_serp_analyzer, evaluating competing structures seamlessly withget_serp_resultsandget_prominent_terms. - Real-Time Scoring Tests — Query strict Content Scores across created drafts ensuring structural optimization organically deploying
get_content_score.
The Surfer SEO 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 Surfer SEO to LlamaIndex via MCP
Follow these steps to integrate the Surfer SEO 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 Surfer SEO
Why Use LlamaIndex with the Surfer SEO MCP Server
LlamaIndex provides unique advantages when paired with Surfer SEO through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Surfer SEO tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Surfer SEO tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Surfer SEO, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Surfer SEO tools were called, what data was returned, and how it influenced the final answer
Surfer SEO + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Surfer SEO MCP Server delivers measurable value.
Hybrid search: combine Surfer SEO real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Surfer SEO 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 Surfer SEO for fresh data
Analytical workflows: chain Surfer SEO queries with LlamaIndex's data connectors to build multi-source analytical reports
Surfer SEO MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Surfer SEO to LlamaIndex via MCP:
create_content_editor
Provide a keyword and country code. This is an async operation. Create a Surfer SEO Content Editor query
create_seo_audit
Provide the full URL and target keyword. Creates a Surfer SEO Audit for a live URL
create_serp_analyzer
Creates a SERP Analyzer query to identify ranking factors
get_audit_details
Retrieves details for a specific SEO audit
get_content_editor_details
Retrieves Content Editor content and guidelines
get_content_score
Retrieves the current optimization score for a Content Editor entry
get_prominent_terms
Retrieves NLP-extracted prominent terms from SERP analysis
get_serp_results
Retrieves SERP Analyzer search results
list_content_editors
Lists all Content Editor queries in the account
list_seo_audits
Lists all SEO audits performed in the account
Example Prompts for Surfer SEO in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Surfer SEO immediately.
"Analyze the URL 'example.com/blog' using the live API and report the content score alongside any missing prominent keywords."
"Launch a SERP Analyzer for 'best CRM software' targeting the US market."
"Create a Content Editor draft for the keyword 'how to invest in stocks' with a target score of 75."
Troubleshooting Surfer SEO MCP Server with LlamaIndex
Common issues when connecting Surfer SEO to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSurfer SEO + LlamaIndex FAQ
Common questions about integrating Surfer SEO 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 Surfer SEO with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Surfer SEO to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.