Векторный поиск и RAG

Local RAG system for Claude Code with hybrid search (BM25 + semantic), cross-encoder reranking, markdown-aware chunking, query expansion, and 28 MCP tools. Runs entirely offline with zero external servers

Deterministic knowledge graph MCP server. Single binary, zero LLM/embedding calls in the bridge, BLAKE3 state hashing, canonical KREX export for byte-identical audit. Local-first via redb (ACID). Alpha

Local FAISS vector database for RAG with document ingestion (PDF/TXT/MD/DOCX), semantic search, re-ranking, and CLI tools for indexing and querying

Crawl websites into clean Markdown, search pages, and extract structured data with LLMs. Built-in MCP server for web research and RAG pipelines

Semantic search and RAG over Apple Notes with on-device embeddings, full CRUD, folder management, and fuzzy title matching. 10 tools. Runs fully locally — no API keys required

upload and manipulation of IPFS storage

MCP server for IT Glue, the MSP documentation platform. Semantic vector search over documentation, document and flexible-asset read/write, role-based access control, and bring-your-own-key support

Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required

Universal memory service providing semantic search, persistent storage, and autonomous memory consolidation

Pinecone integration with vector search capabilities

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

Persistent fractal graph memory for AI coding agents via MCP. Semantic vector search, hot/cold/archive context tiers, decision tracking, and Docker-based deployment with Qdrant

MCP Server for Milvus / Zilliz, making it possible to interact with your database

Access any storage with Apache OpenDAL™

A Qdrant MCP server

An MCP Server to connect to your Weaviate collections as a knowledge base as well as using Weaviate as a chat memory store

Intelligent learning sidecar for AI coding assistants. Helps developers learn from AI-generated code changes through interactive blocking quizzes and provides agents with persistent project-specific debugging memory using silent RAG tools. Features 56% token optimization and multi-language support

Self-hosted MCP Server registry for enterprise AI Agents

Read Markdown with inlined images and heading indexes for agentic RAG over local docs or allowed URLs

Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation. Automatic session capture, deduplication, 6-factor relevance scoring

⃣ - On-demand .NET memory profiling MCP server. Wraps JetBrains dotMemory with a heuristic rule engine (10 rules) to detect memory leaks, LOH fragmentation, and anti-patterns, providing AI-actionable code fix suggestions

Python Streamable HTTP Server you can run locally to interact with memvid storage and semantic search

MCP server exposing 22 Mistral AI capabilities (chat, OCR, audio, vision, agents, embeddings, moderation, classification, files, batch) with dual transport (stdio + Streamable HTTP), structured outputs on every tool, and 6 curated French/English prompts with argument completion. Vendor API key required

AI 測試大師 — end-to-end QA loop over MCP. Drives pytest / Jest / Cypress / Go / Maestro from one surface; analyzes URLs (Web DOM) or live mobile screens ( maestro hierarchy ) to extract testable modules, generates runnable pytest or Maestro YAML with real selectors (not # TODO stubs), runs with auto-retry, then writes a…