Model Context Protocol Servers
A deterministic 0–100 hygiene score — README, license, CI, tests, docs, and freshness.
Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
Grounded in servers's README, structure, and recent commits — answers won't invent code they haven't seen.
A Monday email with what shipped, in plain English — no account needed.
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Merge pull request #4939 from modelcontextprotocol/v2/chore/4938-contribution-policy-to-main
fix(memory): serialize graph mutations to prevent concurrent write race (#4555)
fix(memory): skip duplicate entities and relations within a single batch (#4383)
fix(memory): validate knowledge graph entries when loading from disk (#4717)
fix(memory): expand leading ~ in MEMORY_FILE_PATH to the home directory (#4447)
A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.