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Six tools for SEO and AI-readability audits. 91 checks, 11 score modules.
About
Six tools for SEO and AI-readability audits. 91 checks, 11 score modules.
Remote endpoints: streamable-http: https://mcp.metricspot.com/mcp
Security Report
A well-architected MCP server with proper authentication, input validation, and comprehensive output sanitization. Auth is correctly scoped (anonymous endpoint vs. bearer-token protected endpoints). No malicious patterns, hardcoded secrets, or dangerous operations detected. Minor code quality observations noted but do not materially impact security. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
7 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: MCP_API_KEY
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub 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
Reviews
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