"Star Trek" matching MCP servers:

Enables users to assess a GitHub repository's star-growth phase and get a calibrated, transparent projection of whether it will reach a specified star target by a deadline.

An MCP server that caches your GitHub starred repositories in a local SQLite database and lets you search, list, and retrieve details about them through any MCP client (Claude Desktop, Cursor, VS Code, etc.), with automatic freshness checks via GitHub's ETag mechanism.

Analyzes and compares GitHub repositories, tracks star growth, and offers AI-powered README optimization to help grow open-source projects.

Organizes, categorizes, and syncs GitHub starred repositories with AI agents, enabling offline conceptual search, health auditing, and tech-stack recommendations.

Enables natural language search and querying of your GitHub starred repositories.

A minimal, security-focused MCP server that provides structured read/write access to exactly one local workspace, with built-in local Git checkpoints and rollback.

PyPI-launched MCP server that exposes a living project model and outcome telemetry as read-only resources for MCP-aware clients.

Enables MCP clients to read and write GitHub text files with verifiable commit-SHA-based reads, chunked UTF-8 access, and atomic multi-file commits through a self-hosted Cloudflare Worker.

A high-performance server for analyzing GitHub user starred repositories, providing insights into development trends, technology adoption patterns, and timeline tracking.

Enables managing GitHub starred repositories with semantic search and RAG-based Q&A, along with optional Gitea backup.