"Ray" matching MCP servers:

MCP server for GitHub code retrieval and reuse, using SQLite+FTS5 indexing and search history to enable search-first, requirements-refined code search from GitHub repositories.

Local repo-intelligence MCP for coding agents: indexes source, symbols, call graphs, git/GitHub history, and source-bound repo memories into local database.

Connects an LLM to specialized MCP servers via stdio, enabling authenticated GitHub repository, issue, file, and code operations alongside TF-IDF retrieval over employee PDF records and QA test-case generation and result validation. It exposes tools, a read-only resource, and reusable prompt templates so a client can discover and orchestrate multiple capabilities in one workflow.

Enables AI agents to search and retrieve context from GitHub issues, pull requests, releases, and documentation using hybrid semantic search and time-ordered activity scans.

A Dockerized MCP server that fetches your GitHub repositories, indexes them into a local vector database, and exposes semantic code search tools to LLM clients for tailored technical mock interviews grounded in your actual code.

Enables conversational queries about a GitHub user's profile, using lazy indexing and tool calls to retrieve repository info and file contents, with cached results for efficiency.

An autonomous GitHub management engine that enables control over repositories, branches, security alerts, and Actions workflows through natural language. It utilizes a zero-local-footprint architecture by storing all configuration and audit logs within a private state repository on GitHub.

Enables interaction with Phabricator via MCP tools for task/revision management and RAG-based semantic search over indexed tasks and revisions.