How to Use the Surfer SEO MCP in LangChain

Q: How do I check content scores with Surfer SEO and LangChain?

After running an audit, you call getcontentscore to see the current optimization rating. This score is a simple number that tells your agent exactly where the article falls short of best practices.

Q: Can I list multiple audits using Surfer SEO and LangChain?

Yeah, use listseoaudits. It pulls every past audit you ran through this MCP Server. This lets you build a history log to track performance over time.

Q: Which tools are available in the Surfer SEO and LangChain setup?

You've got access to createseoaudit, which starts the process, but also helpers like getserpresults for deep data dives. It’s a lot of control.

Chain Surfer SEO data into multi-step reasoning pipelines with LangChain.

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Connect Surfer SEO MCP to LangChain

Create your Vinkius account to connect Surfer SEO to LangChain — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Surfer SEO with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Run Multi-Step Content Audits for LangChain

You start an audit using `create_seo_audit` to get a baseline of competitive terms. Then, you feed that initial data into the next step of your chain to run `get_content_score`. This lets your agent decide if the content needs more work before passing it off to another API.

Managing Surfer SEO MCP Server Queries

Need to check what queries are running? Use `list_seo_audits` to pull a full list of past audits. If you need specific details on one, just call `get_audit_details`. It keeps your entire workflow visible and accountable.

Finding Key Terms with LangChain

When your agent runs an analysis, it can pull out the key phrases using `get_prominent_terms`. This is perfect for a chain that needs to decide which topic cluster to focus on next. It makes sure the subsequent step isn't guessing.

Setup guide

Set up Surfer SEO MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Surfer SEO tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "surfer-seo-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Surfer SEO transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Surfer SEO. 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

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Common questions about Surfer SEO MCP in LangChain

After running an audit, you call `get_content_score` to see the current optimization rating. This score is a simple number that tells your agent exactly where the article falls short of best practices.

This MCP Server handles URLs and target keywords. It processes these inputs to generate scores and audit reports, keeping the core content private to your chain's context.

Yeah, use `list_seo_audits`. It pulls every past audit you ran through this MCP Server. This lets you build a history log to track performance over time.

You've got access to `create_seo_audit`, which starts the process, but also helpers like `get_serp_results` for deep data dives. It’s a lot of control.

Absolutely. Because you're building chains, you can use the output from one tool—like `get_serp_results`—as the direct input for another step in your agent.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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