The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Optiqra MCP listing page.
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.
(or, once published, npm install -g optiqra-mcp / run directly with npx optiqra-mcp)
| 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). |
It speaks MCP over stdio, so you won't see anything happen — it's waiting for an MCP client to connect.
Add to your MCP config (claude_desktop_config.json, or via claude mcp add
for Claude Code):