"GitHub repository for litopys-dev/litopys project" matching MCP servers:

Enables AI coding agents to discover and verify current open-source libraries and models using live GitHub activity, PyPI adoption, license checks, and hardware VRAM estimates before generating code.

Enables AI agents to search, read, and traverse a local knowledge base of Markdown files using full-text search and relationship graph, reducing token usage.

A Model Context Protocol server that provides semantic search and intelligent access to a comprehensive list of free services and tools for developers.

A project search MCP server based on Milvus vector database, supporting semantic search, hybrid search, and exact scalar queries.

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 read-only MCP server that exposes GitHub user profiles, repository info, and search via tools for AI assistants like Claude.

Enables searching and retrieving GitHub portfolio repositories and their READMEs through natural language.

MCP server that searches, scores, and ranks GitHub developers for technical recruiting.

Enables searching and retrieving icons from The Noun Project API with advanced filters for style, color, and size customization.

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

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Local workspace memory for Claude Desktop. Indexes documents into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph.

A MCP server that provides access to GitHub trending repositories and developers data through a simple API interface.

Enables AI agents to operate an isolated local Chromium browser through MCP, with semantic snapshots, ref-based actions, search, research, crawling, and CDP access.

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

Enables hybrid retrieval-augmented generation with semantic and keyword search over documents, supporting multiple formats and providing MCP integration for Claude Desktop.

Enables agents to search and retrieve past workspace conversations, dialogue transcripts, and markdown artifacts through local BM25 retrieval, providing cross-conversation architectural recall with low-latency, offline operation.

MCP server for rukuma.dev enabling semantic search, page reading, page listing, and site metadata retrieval.

A Model Context Protocol (MCP) server for GitHub operations. It enables AI assistants to interact with GitHub repositories through a standardized interface.

Provides efficient bulk analysis of GitHub issues and pull requests with 90%+ smaller responses than full GitHub API by returning only essential fields (id, url, title, body, comments).

Provides integration with Github through the Model Context Protocol (MCP), allowing Large Language Models to interact with Github's repositories, issues, pull requests and search functionality.

Routes coding agents to the most relevant project documentation (decisions, intent, constraints) with provenance and freshness, providing tools for task routing, knowledge search, and document context.

Provides STORES API documentation to AI clients, enabling natural language queries about endpoints, authentication, and more.

Enables searching pub.dev for Dart and Flutter packages by keyword, returning matching package names and pagination URLs.

A production-grade GitHub repository finder that helps LLMs discover best repositories with advanced search, ranking, and token optimization.

MCP server that wraps the Tableau REST API and VizQL Data Service to expose tools for listing workbooks/datasources and querying datasources, enabling LLM agents to interact with Tableau Server/Cloud through natural language.

Provides focused, topic-scoped search tools for SEMOSS developer documentation, backed by a vector engine. Also includes a web portal for browsing the same content.

Provides 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.

Provides a local, evidence-first knowledge base over source snapshots and summaries stored in SQLite, with bounded search and exact readback while preserving provenance.

Enables access to GitHub repositories and data through the GitHub API. Supports retrieving repositories, issues, pull requests, and searching code across GitHub with authentication via personal access tokens.