Optiqra MCP

MCP server exposing OptiQra's website audit tools: SEO, GEO, AEO, and AI-generated fixes.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "optiqra-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "optiqra-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

optiqra-mcp

An MCP (Model Context Protocol) server that exposes every tool in OptiQra's API to MCP-compatible AI clients (Claude Desktop, Claude Code, Cursor, etc.).

OptiQra has four HTTP endpoints. This server wraps all four as MCP tools:

Tool	OptiQra endpoint	What it does
`optiqra_analyze`	`POST /api/analyze`	Crawls a URL and runs the full SEO/GEO/AEO/perf/a11y/security audit
`optiqra_ai_fix`	`POST /api/ai-fix`	Generates an AI-written fix for one issue from a report
`optiqra_ai_insights`	`POST /api/ai-insights`	Generates a site-wide AI strategy summary across a full report
`optiqra_ai_test`	`POST /api/ai-test`	Verifies a provider/API key/model combo works before using the two above

By default it talks to the public demo, https://optiqra.vercel.app. Point it at your own deployment (see OptiQra's own DEPLOYMENT.md/Docker setup) with an env var — see below.

Install

Terminal

npm install

(or, once published, npm install -g optiqra-mcp / run directly with npx optiqra-mcp)

Configuration (environment variables)

Variable	Required	Purpose
`OPTIQRA_BASE_URL`	No	Base URL of the OptiQra instance to call. Defaults to `https://optiqra.vercel.app`.
`OPTIQRA_PROVIDER_API_KEY`	No	A default AI-provider API key used by `optiqra_ai_fix`/`optiqra_ai_insights`/`optiqra_ai_test` if the model doesn't pass one. Recommended over letting the model handle the key in plaintext.
`OPTIQRA_TIMEOUT_MS`	No	Request timeout in ms. Defaults to `120000` (full-site crawls can be slow).

Run it standalone

bash

node src/index.js

It speaks MCP over stdio, so you won't see anything happen — it's waiting for an MCP client to connect.

Wire it into an MCP client

Claude Desktop / Claude Code

Add to your MCP config (claude_desktop_config.json, or via claude mcp add for Claude Code):

config.json

{
  "mcpServers": {
    "optiqra": {
      "command": "node",
      "args": ["/absolute/path/to/optiqra-mcp/src/index.js"],
      "env": {
        "OPTIQRA_BASE_URL": "https://optiqra.vercel.app",
        "OPTIQRA_PROVIDER_API_KEY": "sk-..."
      }
    }
  }
}

Any other MCP-compatible client (Cursor, Windsurf, etc.) uses the same
`command`/`args`/`env` shape — check that client's docs for where the config
file lives.

## Notes on the AI-key tools

`optiqra_ai_fix`, `optiqra_ai_insights`, and `optiqra_ai_test` all need a
provider API key, exactly like pasting one into OptiQra's own UI — OptiQra's
server forwards it straight to the provider (OpenAI, Anthropic, Google, Groq,
OpenRouter, Mistral, DeepSeek, or xAI) and never stores it. This server does
the same: it never persists keys. Prefer setting `OPTIQRA_PROVIDER_API_KEY`
in your MCP client's env config over having the model pass a key through
chat.

Read the full README →View source on GitHub →

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Frequently Asked Questions about Optiqra MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "optiqra-mcp": { "command": "npx", "args": ["-y", "optiqra-mcp"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

36Quality signal: Fair · 36/100How this signal is calculated ▾

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Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

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Adoption & activity1/15

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