Registries solve discovery; quality is the next layer.
We've been running build-time schema analysis on 201 public MCP servers — grading token efficiency, correctness, and description quality. The results across popular servers are pretty striking: token costs vary 440x (GitHub official: 20,444 tokens; sqlite: 46). 100% have at least one quality issue.
A discovery layer that surfaces quality metadata alongside listing would be meaningfully different from what exists today. The top-starred servers are consistently the worst performers on token efficiency — star count is actually a negative quality signal.
What's the current inclusion criteria? If it's existence + functionality, adding quality scoring would differentiate this from generic lists.
We've been running build-time schema analysis on 201 public MCP servers — grading token efficiency, correctness, and description quality. The results across popular servers are pretty striking: token costs vary 440x (GitHub official: 20,444 tokens; sqlite: 46). 100% have at least one quality issue.
A discovery layer that surfaces quality metadata alongside listing would be meaningfully different from what exists today. The top-starred servers are consistently the worst performers on token efficiency — star count is actually a negative quality signal.
What's the current inclusion criteria? If it's existence + functionality, adding quality scoring would differentiate this from generic lists.