MCP Servers

@metricspot/mcp-server

Exposes SEO and AI-readability audit tools to AI agents, enabling one-shot anonymous audits or full authenticated audits with PDF reports and organic traffic data.

README

@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).

Hosted Streamable HTTP endpoint: https://mcp.metricspot.com/mcp
Local stdio binary: npx @metricspot/mcp-server
Agent guide: https://metricspot.com/AGENTS.md

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`	MetricSpot app API base (the `dev`/`dev:stdio` scripts override it to `http://localhost:3000`)
`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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