How to Use the Google Lighthouse SEO Auditor MCP in LangChain

Q: Can I trace Google Lighthouse SEO Auditor tool calls inside LangChain using LangSmith?

Yes, every time your LangChain agent calls runlighthouseaudit, the entire payload is tracked in LangSmith. You can monitor the execution latency, input URL parameters, and the exact performance scores returned by the API.

Run real-time PageSpeed audits inside your LangChain chains to automatically fix slow code.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Google Lighthouse SEO Auditor MCP to LangChain

Create your Vinkius account to connect Google Lighthouse SEO Auditor to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Google Lighthouse SEO Auditor with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run audits inside LangChain reasoning loops

The `run_lighthouse_audit` tool lets your LangChain agent execute official PageSpeed audits and retrieve granular performance data. The agent gets back raw performance diagnostics, accessibility scores, and SEO metrics. Instead of just showing you a bad score, your agent uses this data to write targeted CSS and JS fixes. Since LangChain handles complex multi-step pipelines, you can feed the tool's output directly into a code-generation chain. The agent reads the failed audits, writes the optimized code, and pushes the fix without you touching a browser.

Trace audit latency with LangSmith

Look, PageSpeed audits can take a few seconds to pull. By exposing this MCP Server to your chains, you can track exactly how long the `run_lighthouse_audit` tool takes to execute. Every API call, token count, and JSON payload gets logged directly in your LangSmith dashboard. This visibility means you can debug slow API responses or refine agent prompts when parsing massive diagnostic payloads. You see exactly what the Google API returned and how your agent decided to fix the render-blocking scripts.

Chain PageSpeed metrics with database tools

LangChain lets you link this MCP Server to external databases or vector stores. Your agent can run `run_lighthouse_audit` on a competitor's site, extract the performance gaps, and save the comparative metrics directly into PostgreSQL. You are not just looking at a static report. You are building autonomous workflows that monitor your entire web footprint and alert your team when a production deploy tanks your SEO rankings.

Setup guide

Set up Google Lighthouse SEO Auditor 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 Google Lighthouse SEO Auditor 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({
    "google-lighthouse-seo-auditor-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 Google Lighthouse SEO Auditor transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

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

Connect Google Lighthouse SEO Auditor now

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 Google Lighthouse SEO Auditor MCP in LangChain

You register the MCP Server using the LangChain MCP adapter and pass the tools directly to your agent. When the agent receives a URL, it calls `run_lighthouse_audit` and processes the JSON payload to generate code fixes.

Yes, every time your LangChain agent calls `run_lighthouse_audit`, the entire payload is tracked in LangSmith. You can monitor the execution latency, input URL parameters, and the exact performance scores returned by the API.

No, this server communicates directly with the Google PageSpeed Insights API. Your LangChain application stays lightweight because it does not need to spin up a heavy headless browser to calculate performance scores.

You should configure a Google PageSpeed API key in your Vinkius environment. Without a key, anonymous requests face strict limits, which can block your agent during long-running batch evaluation chains.

This server only processes the public URLs you submit and the resulting performance diagnostic JSON. Vinkius runs the server in an isolated sandbox, meaning your URL data is never stored or shared beyond the active session.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript