projectpulse-mcp
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- AlicenseCqualityCmaintenanceMonitors and analyzes GitHub repository health by detecting stale branches, old pull requests, unresponsive issues, and security alerts. Integrates with MCP-compatible AI assistants and automation tools.1MIT
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- FlicenseAqualityBmaintenanceEnables real-time assessment of GitHub repository health by exposing tools and resources for repository metadata, open issues, recent commits, and GitHub Actions workflow runs, plus prompts for health reports and issue triage.4-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to search, inspect, compare, and evaluate GitHub repositories using read-only tools, including topic discovery, repository health scoring, security advisories, dependency audits, and supply-chain risk checks. It returns concise, readable results and can work without a token, with optional authentication for higher rate limits and code search.9 npmMIT
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- AlicenseNot gradedqualityDmaintenanceEnables Claude to analyze GitHub repositories with tools for health scoring, contributor analysis, issue tracking, code search, and more.MIT
- AlicenseBqualityBmaintenanceEnables AI assistants to query GitHub repository insights such as health, commit activity, stale pull requests, contributor stats, releases, and issue backlogs through MCP tools.6MIT
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TDQS
Scored across 8 tools
Each tool targets a distinct analysis area, and the descriptions include explicit 'DO NOT use this for X, use Y instead' guidance that sharply delineates boundaries. However, get_health_score and check_best_practices both emit a 0-100 score with an A-F grade, and compare_repos is essentially a multi-repo wrapper of get_health_score, so a few tools could still be confused at the edges.
All eight tools use snake_case with a clear verb_noun structure (analyze_*, get_*, check_*, compare_*). The verb prefixes are chosen sensibly for each operation and the convention is applied uniformly across the set.
Eight tools is well-scoped for a repository health/analysis server, with each tool covering a distinct facet (metadata, CI, DORA, dependencies, code scanning, best practices, health score, comparison). No tool appears redundant or padded.
The surface covers a broad analysis lifecycle: raw metadata, CI status, DORA metrics, dependency and code-scanning alerts, best-practice audit, aggregated health scoring, and multi-repo comparison. Minor gaps remain, such as no way to retrieve historical trend snapshots or drill into individual alert details, but core workflows are well covered.