A
license-
qualityF
maintenanceA persistent, human-like memory system for AI companions in LM Studio, using SQLite and ChromaDB for hybrid storage, enabling seamless recall across sessions and models.
34
MIT
70,587 servers. Updated
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"General search for the term 'next'" matching MCP servers:
- AlicenseAqualityAmaintenanceEnables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.921MIT
- 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.8MIT
- Alicense-qualityCmaintenanceAn MCP server for semantic code search using Qdrant vector database, enabling natural language queries to find relevant code snippets across indexed codebases.MIT
- Flicense-qualityDmaintenanceA 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.
- Flicense-qualityDmaintenanceA semantic search system for Claude Code transcript history, exposed as an MCP server so Claude Code can query its own past sessions.
- FlicenseAqualityBmaintenanceAn MCP server that retrieves resume/experience evidence relevant to a job description via vector RAG, and tracks fit-analysis results in a configurable tracking store (Notion or SQLite), with tools like match_job, push_to_tracker, and list_applications.3
- AlicenseAqualityDmaintenanceIndexes codebases using semantic embeddings for natural language search, enabling developers to find code with queries like 'how does authentication work'.81MIT
- 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.28AGPL 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.13ISC
- 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.20MIT
- Alicense-qualityDmaintenanceEnables Claude to store and retrieve information with semantic search using Qdrant vector database, providing persistent memory for conversations, code, and documentation.9MIT
- 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.18MIT
- 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.1
- 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.3
- Flicense-qualityBmaintenanceEnables stateless similarity search over pre-computed vector corpora using NMI and cosine fusion with entropy-calibrated weighting. Provides tools for ranking, scoring, outlier detection, and alpha calibration for AI agents.
- Flicense-qualityCmaintenanceAn 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
- 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.4
- Flicense-qualityDmaintenanceCombines Neo4j graph database with vector search using OpenAI embeddings for intelligent semantic search across knowledge graphs.3
- 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.4