A
licenseNot graded
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
76,924 servers. Updated
Search Relevance ↓
Recent Usage ↓
Date Added ↓
Date Updated ↓
Weekly Downloads ↓
GitHub Stars ↓
Recent GitHub Stars ↓
Matching MCP tools:
Matching MCP Connectors:
actor.apify.nexgendata--academic-research-mcp-server
com.themineworks
dev.workers.steve-corbeil.nexgendata-mcp-proxy
org.memoryapi
"Academic Research Tools for Finding, Downloading, Reading, and Writing Articles" matching MCP servers:
- FlicenseNot gradedqualityDmaintenanceEnables semantic search and conversational querying across a personal research library of PDFs, DOCX, and other documents using a vector database. It provides tools for document summarization, finding related papers, and high-accuracy retrieval for AI clients like Claude Desktop.
- AlicenseAqualityDmaintenanceAn MCP server that enables saving, retrieving, and managing research content using ChromaDB vector storage and semantic search.5MIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables 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.
- AlicenseNot gradedqualityDmaintenanceEnables AI to save, organize, search, and synthesize research materials using a local vector database with support for both OpenAI and Ollama backends.1MIT
- AlicenseNot gradedqualityDmaintenanceA Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceAn integration server implementing the Model Context Protocol that enables LLM applications to interact with Milvus vector database functionality, allowing vector search, collection management, and data operations through natural language.240Apache 2.0
- FlicenseNot gradedqualityDmaintenanceEnables AI-powered document analysis and querying for project documentation using vector embeddings stored in Redis. Supports document upload, context-aware Q\&A, automatic test case generation, and requirements traceability through OpenAI integration.381
- FlicenseNot gradedqualityNot gradedmaintenanceA local Retrieval-Augmented Generation system that enables users to ingest markdown files into a FAISS-powered vector knowledge base for semantic search. It provides tools for document indexing and context retrieval to support informed LLM queries without external dependencies.
- 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
- AlicenseNot gradedqualityBmaintenanceEnables 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
- AlicenseNot gradedqualityAmaintenanceMCP server for searching, reading, listing, writing, and appending Markdown wiki content using RAG with ChromaDB.MIT
- AlicenseNot gradedqualityDmaintenanceA local-first Graph-RAG system combining ChromaDB with metadata-based graph relationships and Gemini 2.5 Flash for intelligent Q&A over Obsidian vaults, supporting MCP clients like Claude Desktop, Cursor, and Raycast.MIT
- AlicenseNot gradedqualityDmaintenanceA server implementation that allows secure communication between MCP clients and privateGPT, enabling users to chat with privateGPT using knowledge bases and manage sources, groups, and users through a standardized Model Context Protocol.6MIT
- FlicenseNot gradedqualityBmaintenanceMunin is a high-performance, pragmatic memory layer for AI agents (Cursor, Claude Code, OpenClaw, Gemini CLI,...). Unlike other solutions, Munin focuses on developer productivity with: * Multi-Project Support: Isolate memories into separate "brains" (Context Cores). * GraphRAG: Automatically builds a knowledge graph from your context. * Sub-200ms Search: Blazing fast Hybrid & Semantic3
- AlicenseAqualityBmaintenanceSemantic search over Nordic economic data — market announcements, quarterly reports (162 companies), macro data (NO/SE/DK/FI), commodity prices, and press releases. 180,000+ vectors.6MIT
- AlicenseAqualityBmaintenanceA server that enables vector and keyword search capabilities in Typesense databases through the Model Context Protocol, providing tools for collection management, document operations, and search functionality.1410MIT
- AlicenseAqualityAmaintenanceSemantic memory MCP server that gives AI agents a self-writing, priority-based memory with local semantic search and automatic contradiction handling. It persists across sessions and projects, entirely on your machine.182,7912MIT
- FlicenseAqualityNot gradedmaintenanceEnables AI agents to autonomously create and manage topic-specific vector knowledge bases with end-to-end functionality including project creation, content ingestion from URLs, semantic search, and progress tracking. Provides a complete research workflow without exposing low-level APIs.893
- AlicenseCqualityDmaintenanceAn MCP server that provides RAG-powered Q\&A regarding Indonesia's Law No. 27 of 2022 on Personal Data Protection (UU PDP). It enables users to search for specific articles, legal definitions, data subject rights, and regulatory sanctions through Pinecone and OpenAI.2MIT