github-stars-mcp
Related Servers
Alternatives to github-stars-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to search and retrieve information from your GitHub starred repositories via semantic matching, turning your stars into a searchable personal code toolbox.1-
- FlicenseNot gradedqualityDmaintenanceEnables managing GitHub starred repositories with semantic search and RAG-based Q&A, along with optional Gitea backup.-
- AlicenseAqualityAmaintenanceExposes a locally indexed, Chinese-and-English searchable knowledge base of your starred GitHub repositories as MCP tools, letting agents search by what a project does, fetch full records, view statistics, sync new stars, and rebuild the index.3MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI coding agents to persist and retrieve notes, code entities, and typed links in a local graph database across sessions, with hybrid offline search, graph traversal, and staleness checks. It also supports export/import and CLI access for backup and transfer.MIT
- AlicenseNot gradedqualityBmaintenanceEnables natural language search and querying of your GitHub starred repositories.6 npm118Apache 2.0
- AlicenseAqualityCmaintenanceTurns any GitHub repository into your organisation's persistent context layer, enabling AI agents to read, search, and propose updates via pull requests.126MIT
TDQS
Scored across 17 tools
Most tools have clear, distinct responsibilities, especially the orchestration pipeline steps. However, list_starred and batch_get_starred_with_readme overlap significantly in retrieving starred repos, and get_readme also overlaps with the batch tool's README fetching, creating potential confusion.
All tools follow a consistent github_verb_noun pattern in snake_case. Even longer names like batch_get_starred_with_readme and assign_repo_to_lists fit the convention, making the set highly predictable.
At 17 tools, the set is slightly above the ideal 3-15 range but each tool serves a defined purpose—the orchestration group alone accounts for 5. The count feels heavy but not bloated for the breadth of features offered.
The server covers star retrieval, README reading, list management, catalog export, health auditing, and search. Notable gaps include no way to remove a star/unstar, no delete or rename for user lists, and list membership only being add/update without explicit removal functionality.