A
license-
qualityA
maintenanceMCP server for compressing AI embeddings by 5-7x using TurboQuant (PolarQuant + QJL), with tools to compress, decompress, estimate savings, and embed+compress vectors.
MIT
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"Using Windsurf and Claude Tools or Technologies" matching MCP servers:
- Alicense-qualityCmaintenanceClaude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase.1912,256MIT
- Alicense-qualityFmaintenanceA local-first MCP server for indexing and searching codebases using PostgreSQL and Ollama embeddings, ensuring complete privacy and zero API costs.16MIT
- Alicense-qualityDmaintenanceEnables Claude to index and retrieve context from codebases using self-hosted Milvus for semantic search, with hardened reliability and security for production use.191MIT
- Alicense-quality-maintenanceEnables semantic search across Apple Mail, Messages, Calendar, and Contacts on macOS using natural language queries. All processing happens locally with privacy-first vector indexing for fast similarity search.
- Alicense-qualityBmaintenanceA persistent memory system for Claude using LanceDB, enabling semantic search, local embeddings, and tools to manage topics, memories, and todos across conversations.101MIT
- Alicense-qualityCmaintenanceEnables searching and retrieving Claude Code conversation history via hybrid semantic and keyword search, allowing the agent to access its own past interactions.4MIT
- Alicense-qualityBmaintenanceMCP server that indexes Markdown files into a local SQLite vector store and provides semantic search tools for Claude Code.1MIT
- AlicenseAqualityAmaintenanceA persistent semantic memory system for Claude Code, using vector search and a judgment ledger to surface prior decisions and calibrate predictions.17MIT
- Alicense-qualityDmaintenanceEnables Claude Desktop to search and query personal document collections (PDF, Word, Markdown, text) using semantic search and conversational AI with full context preservation across exchanges.MIT
- Flicense-qualityDmaintenanceA semantic search MCP server for YouTube transcripts using OpenAI embeddings and ChromaDB, enabling natural language queries to find conceptually similar content beyond keyword matching.
- Flicense-qualityDmaintenanceEnables AI assistants to index and search codebases using semantic search powered by multiple embedding providers (OpenAI, VoyageAI, Gemini, Ollama) and vector database storage.
- Alicense-qualityBmaintenanceEnables natural language search and analysis of uploaded PDF, CSV, and Excel documents using retrieval-augmented generation and MCP tools, providing contextual answers to user queries.MIT
- AlicenseBqualityDmaintenanceEnables Claude to interact with core AWS services like S3, EC2, RDS, and CloudWatch, along with a generic SDK wrapper for any AWS operation. It also supports cost monitoring and optional vector store capabilities for document ingestion and search.103The Unlicense
- 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.MIT
- Alicense-qualityDmaintenanceAn MCP server that enables clients like Cursor, Claude, and Windsurf to remember user information and preferences across conversations using vector search technology.15MIT
- Alicense-qualityDmaintenanceEnables multi-tenant RAG with Qdrant, LM Studio embeddings and summaries, and advanced document processing for semantic search across isolated client collections.13MIT
- Alicense-qualityDmaintenanceA server that gives MCP clients (Cursor, Claude, Windsurf, etc.) the ability to remember user information across conversations using vector search technology.15150MIT
- Alicense-qualityBmaintenanceEnables integrating RAG into AI agents via MCP server, supporting multiple vector database technologies.11MIT
- AlicenseAqualityBmaintenanceEnables Claude to scrape, crawl, extract data, and sync to vector databases using scrapedatshi's RAG pipeline, with support for multiple embedding and vector DB providers.12MIT