A
licenseA
qualityD
maintenanceIndexes codebases using semantic embeddings for natural language search, enabling developers to find code with queries like 'how does authentication work'.
8
1
MIT
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"A tool to evaluate the suitability of semantic search queries" matching MCP servers:
- AlicenseNot gradedqualityBmaintenanceA tiny RAG-lite retrieval engine that indexes files on disk and provides semantic search via MCP, returning relevant text chunks (file, line, score) without generating answers.MIT
- AlicenseNot gradedqualityCmaintenanceLocal offline semantic search over documents (txt, md, pdf, docx, pptx, csv). Indexes folders into a LanceDB vector database with multilingual embeddings and supports hybrid vector + keyword search via Reciprocal Rank Fusion. No API keys, no cloud, no Docker required.28AGPL 3.0
- FlicenseNot gradedqualityDmaintenanceEnables semantic search over documentation stored in a Vectorize database using the Cloudflare Agents SDK, allowing users to query indexed content via natural language.4
- AlicenseNot gradedqualityDmaintenanceAn unofficial MCP server that provides semantic search capabilities for Hugging Face models and datasets, enabling Claude and other MCP-compatible clients to search, discover, and explore the Hugging Face ecosystem using natural language queries.20MIT
- AlicenseNot gradedqualityDmaintenanceEnables Claude to store and retrieve information with semantic search using Qdrant vector database, providing persistent memory for conversations, code, and documentation.9MIT
- FlicenseNot gradedqualityDmaintenanceA Python MCP server that enables semantic search through Search Labs blog posts indexed in Elasticsearch, allowing Claude to intelligently retrieve relevant information from the blog content.3
- FlicenseNot gradedqualityDmaintenanceA semantic search system for Claude Code transcript history, exposed as an MCP server so Claude Code can query its own past sessions.
- FlicenseAqualityCmaintenanceA local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.33
- AlicenseNot gradedqualityAmaintenanceSemantic, on-demand skill retrieval for Claude Code that saves tokens and improves skill discovery by replacing the native skill listing with vector embedding search.8MIT
- AlicenseNot gradedqualityBmaintenanceMCP server for Turkish legal semantic search using NVIDIA nv-embed-v1 embeddings, with rate-limit resilience and query embedding caching for fast RAG responses.MIT
- AlicenseAqualityAmaintenanceEnables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.921MIT
- AlicenseAqualityDmaintenanceEnables semantic code search across local projects and Git repositories using AI embeddings with ChromaDB. Supports both OpenAI and local Ollama models for private, enterprise-ready code analysis and similar code discovery.44MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server that enables hybrid semantic and keyword retrieval over your documents, using PostgreSQL and pgvector as the backend. It fuses rankings from both methods to provide high-quality search results to the language model.MIT
- AlicenseNot gradedqualityDmaintenanceMCP server that searches documents in Qdrant using embeddings from LMStudio. Takes a text query, converts it to a vector via LMStudio's OpenAI-compatible API, and performs semantic search in Qdrant.13ISC
- AlicenseNot gradedqualityCmaintenanceEnables semantic search across indexed documents using vector embeddings. Index GitHub repositories and URLs to perform natural language queries with AI-enhanced contextual results.31MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server for semantic code search using Qdrant vector database, enabling natural language queries to find relevant code snippets across indexed codebases.MIT
- FlicenseNot gradedqualityCmaintenanceMCP server that ingests PDF documents into pgvector for semantic search and RAG pipelines. It handles extraction, chunking, local embeddings, and storage, enabling agents to make PDFs searchable via natural language.
- FlicenseNot gradedqualityDmaintenanceA local-first MCP server that enables semantic search over PDF and DOCX documents using structure-aware parsing and vector storage. It allows users to query their local knowledge base through Claude Code without cloud dependencies or GPU requirements.
- FlicenseNot gradedqualityCmaintenanceAn enterprise-ready MCP server that exposes a RAG tool for retrieving relevant context and metadata from a Qdrant vector database using natural language queries.2