Implements a RAG workflow that integrates with any custom knowledge base and can be triggered directly from the Cursor IDE.
An API that enables document querying through a Retrieval-Augmented Generation system implemented with Memory-Controller-Policy architecture for improved maintainability and scalability.
A pluggable, observable modular RAG service framework that exposes tool interfaces via the MCP protocol, enabling AI assistants like Copilot and Claude to directly query knowledge bases.
A local command-based assistant that enables users to control system tools, play YouTube music, and search various websites using Playwright automation. It supports tasks ranging from media playback and browser navigation to file system operations and system power management.
Provides intelligent retrieval capabilities for local files by scanning directories, generating vector indexes, and enabling semantic search through RAG (Retrieval Augmented Generation) with incremental indexing support.
Search your knowledge bases from any AI assistant. Ragora is a knowledge marketplace that lets you upload, organize, and search documents using hybrid RAG (dense + sparse vectors). Connect via MCP to search across all your collections directly from Claude, Cursor, VS Code, and more.
Serverless document and media processing with AI chat. Upload documents, images, video, and audio — extract text with OCR or transcription — query using Amazon Bedrock.
A Retrieval-Augmented Generation system that enables uploading, processing, and semantic search of PDF documents using vector embeddings and FAISS indexing for context-aware question answering.
RagWiser is a Retrieval Augmented Generation (RAG) system built with Spring Boot that enables users to upload PDF documents, process them, and ask questions about their content using natural language.
Playing with MCP servers.....
RailRouter Lite is a real, production-ready MCP server implementing the Model Context Protocol. It exposes one tool: route_payment. This tool intelligently routes payments to the optimal rail (Stripe MPP, Coinbase x402, or Google AP2) in real time, choosing based on cost, latency, and success rate. Every decision is logged to a Cloudflare D1 database, creating compounding routing intelligence
Enables comprehensive management of Railway infrastructure, including projects, services, variables, and deployments, directly through the Railway GraphQL API. It is designed to work as a remote service over HTTP, allowing seamless integration with cloud-based MCP clients like claude.ai.
An MCP server for Raindrop.io
Enables AI agents to access and manage Raindrop.io bookmarks, collections, tags, and highlights through the Model Context Protocol. Supports CRUD operations, advanced search, file uploads, and bulk editing of bookmarks.
RedisNexus is an AI-powered operations intelligence platform that provides 16 enterprise-grade tools for managing Redis data, health monitoring, and cache strategy. It enables AI assistants to perform secure, multi-tenant Redis operations and real-time intelligence analysis within production-ready Kubernetes environments.
公开目录未提供摘要。
公开目录未提供摘要。
Enables AI assistants to present multiple UI component designs in a browser for visual selection, with AI-powered design generation using MiniMax-M2.1 from natural language prompts or manual HTML input.
MCP server for Rakuten APIs. Search products, books, hotels, and rankings across Japan's largest e-commerce platform.
全面解析MCP Domain Checker ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,MCP Domain Checker Server能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。



