26 packages found
Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG
MCP server for BookStack — 56 tools covering the full API + semantic vector search. Rust/tokio/axum, dual transport (SSE
From a sample document to a running Milvus / Zilliz Cloud search app in minutes — an AI-guided scaffold delivered as a A
The most feature-complete MCP server for Obsidian vaults — 23 tools + 3 resources for search, read, write, tags, link an
MCP Server for persistent code indexing. Gives AI assistants (Claude, Gemini, Copilot, Cursor) instant access to your co
CLI tool for building production RAG systems from Markdown, CSV, and PDF documents using hybrid search (BM25 + vector) w
MCP server that lets Claude Code and other AI agents read large PDFs without hitting context limits. Chunked reading, hy
A Model Context Protocol (MCP) server that provides comprehensive customer sales database access for Zava Retail DIY Bus
Your ai-powered everything assistant. Oboto is an AI assistant that runs on your computer and in the cloud. Oboto rememb
Advanced MCP server for unified knowledge management with PostgreSQL+pgvector, knowledge graphs, research workflows, and
High-performance Model Context Protocol (MCP) server for Obsidian that provides AI tools with direct vault access throug
Palaia — Local, crash-safe memory for AI agents. Semantic vector search (fastembed/OpenAI/Ollama). SQLite + sqlite-vec o
Semantic code retrieval and editing toolkit — IDE capabilities for coding agents
Agent skill that teaches AI agents how to manage Zilliz Cloud vector databases through zilliz-cli
MCP server for semantic search using local Qdrant vector database and OpenAI embeddings
Production-ready .NET 10 RAG library with hybrid vector + keyword search, multi-backend storage (SQLite, PostgreSQL, Neo
An MCP server (and a CLI) that lets an LLM query your databases in natural language through a business semantic layer —
Local first codebase intelligence
Review-gated MCP sidecar for Markdown notes and incoming artifacts
MCP for semantic code search & navigation that reduces token waste
Pull Deep Memory from across your Claude Code Sessions — when you need it.
A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP).
Turn your documents into agent memory. MCP server with hybrid semantic + keyword search over emails, PDFs, notes, and pa
⚠️ DEPRECATED - Use https://github.com/SylphxAI/coderag instead
Semantic code search — makes your entire codebase context-aware for Claude agents
Store and retrieve AI memories in a Qdrant vector database