MCP RAG Server
# MCP RAG Server <!-- Badges --> [](https://www.npmjs.com/package/@sylphlab/mcp-rag-ser…
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# MCP RAG Server <!-- Badges --> [](https://www.npmjs.com/package/@sylphlab/mcp-rag-ser…
Advanced MCP Server Setup with uv, llama-index, ollama, and Cursor IDE
Find your files with natural language and ask questions.
<h1 align="center">MCP-Mem0: Long-Term Memory for AI Agents</h1> <p align="center"> <img src="public/Mem0AndMCP.png" alt="Mem0 and MCP Integration"…
Spring Boot AI is a sample application demonstrating how to build an AI agent using Spring AI, the Model Context Protocol (MCP), and Retrieval Augmented…
An MCP server that provides tools for retrieving and processing documentation through vector search, both locally or hosted. Enabling AI assistants to augment…
Vector Memory MCP Server - An MCP server with vector-based memory storage capabilities
API service to search vectorized Cursor IDE chat history using LanceDB and Ollama
# docs-mcp-server MCP Server A MCP server for fetching and searching 3rd party package documentation. ## ✨ Key Features - 🌐 **Versatile Scraping:** Fetch…
# Notebook Intelligence Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework for JupyterLab. It can use GitHub Copilot or AI…
# docs-mcp-server MCP Server A MCP server for fetching and searching 3rd party package documentation. ## ✨ Key Features - 🌐 **Versatile Scraping:** Fetch…
A Node.js MCP server exposing Ollama's web search and web fetch APIs as MCP tools. TypeScript, stdio transport, npm-publishable.
Bridge to local Ollama LLM server. Run Llama, Mistral, Qwen and other local models through MCP.
<h1 align="center">Crawl4AI RAG MCP Server</h1> <p align="center"> <em>Web Crawling and RAG Capabilities for AI Agents and AI Coding Assistants</em> </p> A…
Save tokens while coding — your AI agent gets structured code context, not file dumps.
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded…
Easy Memory MCP - Dual-engine embedding service with Qdrant vector store
Open-source AI memory layer — a living knowledge graph across all your AI tools and notes. Local-first, SQLite-backed, MCP-native.
<div align="center"> <img src="https://raw.githubusercontent.com/Deepractice/PromptX/f8c73f36af3e8903d3fa7fcedfafc5c36870efea/assets/logo/Creative%20PromptX%20D…
Durable, local-first memory for AI coding agents over MCP — zero-dependency, curated & semantically de-duped, you own the data (SQLite + Markdown). Works with…
Persistent memory for agents and humans. Semantic, episodic and frictionless via an automated three tier capture.
Shared memory across your team and your AI agents — with judgment.
Enables semantic documentation search and retrieval using vector databases, allowing for URL extraction, source management, and indexing queues with support…
A containerized MCP server for LanceDB vector search, featuring hybrid processing with Gemini and Ollama.