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maintenanceAn MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.
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- AlicenseAqualityCmaintenanceAn MCP server that provides AI assistants with access to Multi Theft Auto: San Andreas function documentation through vector similarity search and smart keyword expansion. It enables efficient information retrieval with features like deprecation warnings and SQLite caching for technical documentation.11487GPL 3.0
- FlicenseAqualityDmaintenanceEnables AI agents to query a local knowledge graph built from document collections using hybrid search (BM25 + vector fusion) and entity-relationship extraction. Supports privacy-first, offline operation with tools for semantic search, entity graph exploration, and corpus statistics.3
- FlicenseAqualityDmaintenanceAn MCP server for semantic search and retrieval of indexed Slack messages stored in Qdrant using Cohere reranking via AWS Bedrock. It enables users to search through Slack history, retrieve full message threads, and access channel or user statistics through natural language.5
- AlicenseAqualityBmaintenanceA local, fully-offline MCP memory server that enables persistent storage and retrieval of information using SQLite with both keyword and semantic vector search capabilities.101312MIT
- AlicenseAqualityAmaintenanceModel Context Protocol server for RosalindDB, enabling AI clients to create datasets, ingest vectors, run similarity queries, and check usage on a cost-optimized vector search database.1116Apache 2.0
- AlicenseAqualityDmaintenanceAn experimental MCP server that makes YouTube playlist transcripts available for AI assistants, enabling search and conversation about video content.13Apache 2.0
- AlicenseAqualityCmaintenanceAn MCP server that provides semantic memory on top of Qdrant vector search, with tools to store and retrieve information using embeddings.2Apache 2.0
- AlicenseAqualityCmaintenanceCline MCP integration that allows users to save, search, and format memories with semantic understanding, providing tools to store and retrieve information using vector embeddings for meaning-based search.129MIT
- AlicenseAqualityDmaintenanceEnables creation and querying of knowledge bases using Google's Gemini API File Search feature, allowing AI applications to upload documents and retrieve information through RAG (Retrieval-Augmented Generation).3106MIT
- AlicenseBqualityDmaintenanceEnables Claude to store and query personal finance transactions using semantic search. Transactions are persisted in ChromaDB and JSON, allowing natural language questions about spending trends and portfolio allocations.4MIT
- AlicenseBqualityCmaintenanceA memory server for Claude that stores and retrieves knowledge graph data in DuckDB, enhancing performance and query capabilities for conversations with persistent user information.8659MIT
- AlicenseBqualityDmaintenanceMCP server providing context usage estimation, conversation compaction, and durable semantic memory via local embeddings and SQLite.1793MIT
- FlicenseCqualityDmaintenanceEnables storing and retrieving information using vector embeddings with semantic search capabilities. Integrates with the AI Embeddings API to automatically generate embeddings for content and perform similarity-based searches through natural language queries.2
- Alicense-qualityCmaintenanceEnables MCP clients to remember user information, preferences, and behaviors across conversations using vector search technology. Built on Cloudflare infrastructure with persistent storage and semantic similarity matching.15MIT
- Alicense-qualityAmaintenanceA high-performance MCP server for semantic search and codebase indexing using the Qdrant vector database. It features optimized embedding pipelines, AST-aware chunking, and git metadata enrichment for fast, privacy-focused local or remote search.68511MIT
- Alicense-qualityCmaintenanceHelps developers tackle legacy codebases by giving AI coding assistants context through Qdrant vector store and Agentic RAG with Ollama or DeepSeek.11513MIT
- Alicense-qualityDmaintenanceA Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.Apache 2.0
- Alicense-qualityCmaintenanceMCP Memory is an MCP Server that gives MCP Clients the ability to remember information about users across conversations. It uses vector search technology to find relevant memories based on meaning, not just keywords.15MIT
- Alicense-quality-maintenanceProvides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.