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Seo MCP README

The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Seo MCP listing page.

Back to Seo MCP View source on GitHub

@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

ToolAuthDescription
run_audit_anonymousnoneOne-shot audit, 1/IP/24h, no Core Web Vitals
run_auditBearer keyFull audit with PSI, returns audit_id
get_auditBearer keyFetch audit + findings by id
list_auditsBearer keyList the user's recent audits (max 100)
get_audit_pdfBearer keySigned URL for the branded PDF report
get_organic_trafficBearer key28-day GA4 + GSC snapshot (if Google linked)

Local install (stdio)

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

config.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)

Code
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

VarDefaultPurpose
PORT3000HTTP listen port
APP_API_BASE_URLhttps://app.metricspot.comMetricSpot app API base (the dev/dev:stdio scripts override it to http://localhost:3000)
APP_PUBLIC_BASE_URLfalls back to APP_API_BASE_URLUsed 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

bash
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