MCP Scoreboard
Every public MCP server, discovered and graded without being asked.
Choosing an MCP server currently means reading its README and hoping. This crawls the ecosystem — Glama, Smithery, PulseMCP, GitHub topics, Docker Hub, npm, PyPI and the awesome-lists — then scores what it finds across six dimensions: schema quality, protocol compliance, reliability, documentation, security and agent usability.
Scoring is three different kinds of evidence, not one: static analysis of the source, live protocol probes against remote endpoints for latency and uptime, and functional testing inside an isolated Docker sandbox. Publishers get a grade they did not ask for, which is the only kind worth anything. The scoring engine is a separate open-source package, so the grade is auditable rather than a number we assert.
- Built with
- Django · Postgres · sandboxed probes
- Address
- mcpscoreboard.com
- Also answers for
- scoreboard.patchworkmcp.com · mcp.mcpscoreboard.com
- Status
- Live
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