A
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qualityC
maintenanceAn MCP server for semantic code search using Qdrant vector database, enabling natural language queries to find relevant code snippets across indexed codebases.
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MIT
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"Using Google Search to Find Relevant Content" matching MCP servers:
- Flicense-qualityDmaintenanceA Model Context Protocol server that searches transcript segments in a Turso database using vector similarity, allowing users to find relevant content by asking questions without generating new embeddings.Last updated4
- Alicense-qualityAmaintenanceSemantic, on-demand skill retrieval for Claude Code that saves tokens and improves skill discovery by replacing the native skill listing with vector embedding search.Last updated8MIT
- Alicense-qualityBmaintenanceEnables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.Last updated101MIT
- Alicense-qualityDmaintenanceIndexes codebases using semantic embeddings for natural language search, enabling developers to find code with queries like 'how does authentication work'.Last updated1MIT
- Flicense-qualityCmaintenanceA 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.Last updated
- Flicense-qualityDmaintenanceA 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.Last updated3
- Flicense-qualityDmaintenanceEnables semantic search over documentation stored in a Vectorize database using the Cloudflare Agents SDK, allowing users to query indexed content via natural language.Last updated4
- Flicense-qualityDmaintenanceA semantic search system for Claude Code transcript history, exposed as an MCP server so Claude Code can query its own past sessions.Last updated
- AlicenseBquality-maintenanceEnables semantic search across multiple knowledge datasets using FAISS vector embeddings, allowing natural language queries to find relevant documents with fast retrieval.Last updated21
- Alicense-qualityCmaintenanceLocal 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.Last updated28AGPL 3.0
- Alicense-qualityDmaintenanceMCP 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.Last updated4ISC
- Alicense-qualityDmaintenanceAn 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.Last updated20MIT
- Alicense-qualityDmaintenanceEnables Claude to store and retrieve information with semantic search using Qdrant vector database, providing persistent memory for conversations, code, and documentation.Last updated9MIT
- Alicense-qualityCmaintenanceEnables semantic search across indexed documents using vector embeddings. Index GitHub repositories and URLs to perform natural language queries with AI-enhanced contextual results.Last updated27MIT
- Alicense-qualityDmaintenanceEnables AI agents to search through OpenShift service notification logs using semantic search powered by ChromaDB and sentence transformers, helping find relevant notifications based on problem descriptions with metadata enrichment and variable interpolation support.Last updated1Apache 2.0
- Flicense-qualityDmaintenanceA clean architecture backend API that registers and semantically searches data using vector embeddings, acting as an MCP context provider to connect AI models to external data.Last updated1
- Flicense-qualityDmaintenanceCombines Neo4j graph database with vector search using OpenAI embeddings for intelligent semantic search across knowledge graphs.Last updated3
- Alicense-qualityDmaintenanceA vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.Last updated2MIT
- Alicense-qualityDmaintenanceEnables Claude to search and retrieve documents from Azure AI Search indexes with intelligent summarization and analysis using LangGraph workflows and optional Google Gemini integration.Last updatedMIT