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@metricspot/mcp-server

Model Context Protocol server for MetricSpot. Exposes 6 SEO + AI-readability audit tools to AI agents (Claude, ChatGPT, Gemini, Perplexity, Cursor, Zed, OpenClaw, custom bots).

Tools

Tool Auth Description
run_audit_anonymous none One-shot audit, 1/IP/24h, no Core Web Vitals
run_audit Bearer key Full audit with PSI, returns audit_id
get_audit Bearer key Fetch audit + findings by id
list_audits Bearer key List the user's recent audits (max 100)
get_audit_pdf Bearer key Signed URL for the branded PDF report
get_organic_traffic Bearer key 28-day GA4 + GSC snapshot (if Google linked)

Local install (stdio)

Claude Code (~/.claude/mcp.json):

{
  "mcpServers": {
    "metricspot": {
      "command": "npx",
      "args": ["-y", "@metricspot/mcp-server"],
      "env": {
        "MCP_API_KEY": "ms_live_xxx"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json) and Zed use the same shape.

Omit MCP_API_KEY to only use run_audit_anonymous.

Hosted (Streamable HTTP)

POST https://mcp.metricspot.com/mcp
Authorization: Bearer ms_live_xxx
Content-Type: application/json

{"jsonrpc":"2.0","id":1,"method":"tools/list"}

Env vars

Var Default Purpose
PORT 3000 HTTP listen port
APP_API_BASE_URL https://app.metricspot.com (prod) / http://localhost:3000 (dev) MetricSpot app API base
APP_PUBLIC_BASE_URL falls back to APP_API_BASE_URL Used to build report_url
MCP_INTERNAL_TOKEN Service-to-service secret forwarded as X-MCP-Internal-Token
MCP_API_KEY (stdio only) User API key, sent as Authorization: Bearer to the HTTP layer

Develop

bun install
bun run typecheck
bun test
bun run dev          # Streamable HTTP on :3000
bun run dev:stdio    # stdio loop (send JSON-RPC on stdin)

Deploy

Multi-stage Dockerfile produces a Bun runtime image. Independent Dokku app on the same Hetzner droplet as app/ and web/.

License

MIT

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Model Context Protocol server for MetricSpot. Exposes SEO and AI-readability audits to AI agents.

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