oss-trends-mcp
Related Servers
Alternatives to oss-trends-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables AI assistants to scout GitHub for existing open-source projects, libraries, and frameworks before building from scratch, offering tools for stack suggestions, repository searches, and detailed repo evaluation.31MIT
- AlicenseNot gradedqualityFmaintenanceOpen source intelligence for AI agents — GitHub project-health scoring, package dependency-risk analysis, trending repositories, license checks, and side-by-side package comparison.MIT
- AlicenseNot gradedqualityCmaintenanceDiscover, rank, and compare GitHub repositories from any MCP-compatible AI client. Enables searching, filtering, ranking, and evaluating open-source repositories by topic, language, stars, license, activity, and relevance.MIT
- FlicenseNot gradedqualityCmaintenanceProvides AI agents with 6 tools for searching Hugging Face models, GitHub trending repos, analyzing GitHub repositories, fetching dev.to articles, Show HN launches, and Product Hunt daily launches. Built for dev tooling research and AI ecosystem analysis.-
- FlicenseNot gradedqualityDmaintenanceEnables natural language queries to search GitHub for trending repositories by topic, summarize project READMEs, and compare multiple repos to uncover ecosystem patterns.2-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to query GitHub trending projects, analyze language and technology trends, and generate visual trend reports.MIT
TDQS
Scored across 4 tools
Each tool serves a distinct purpose: recommendation, raw search, in-depth single-repo health, and multi-repo comparison. There is no overlap in functionality, so an agent can easily select the right tool for the task.
Three tools follow a verb_noun pattern (recommend_oss, search_repos, compare_repos) while repo_health is noun_noun. The style is uniform in lowercase with underscores, and the one deviation is minor and still intuitive.
With 4 tools, the server is tightly scoped to its purpose of OSS trend analysis. Each tool covers a distinct aspect without bloat, making the set manageable and well-focused.
The surface covers the core workflow: discover via search, get recommendations, deep-dive into one repo, and compare multiple. Missing features like historical trend charts or per-repo dependency analysis are minor gaps that don't block primary use cases.