"Information about RAG (Retrieval-Augmented Generation)" matching MCP servers:

Implements a RAG workflow that integrates with any custom knowledge base and can be triggered directly from the Cursor IDE.

The AIGC solution based on the MCP protocol seamlessly transforms the ComfyUI workflow into an MCP Tool with zero code, enabling LLMS and ComfyUI to join forces and focus on image generation tasks. qwen-image, flux, and FLUx-KREA can be used for image generation.

Agentic RAG server for document management, hybrid search, question answering with citations, and analytical code execution, powered by LanceDB and Pydantic AI.

A multi-model platform that integrates RAG (Retrieval-Augmented Generation) with LLMs, supporting OCR via Tesseract and offering both backend API and frontend web interface.

An MCP server that enables AI applications to access 20+ model providers (including OpenAI, Anthropic, Google) through a unified interface for text and image generation.

MCP server for Python build123d to help AIs develop and reason about 3D models and CAD

A TypeScript-based MCP server that generates API clients from OpenAPI specifications, allowing automated code generation through natural language.

AI code generation service for KPC component library that solves hallucination problems by providing accurate component APIs, validation rules, and usage examples.

A comprehensive learning project demonstrating MCP server implementation with tools for calculator operations, file management, and system information retrieval, including Google ADK integration patterns and best practices.

Enables any MCP-compatible AI agent to directly operate PixInsight through about 80 tools for opening and editing images, running processes, PixelMath, astrometry, and channel operations.

A comprehensive Model Context Protocol server that provides advanced Node.js development tooling for automating project creation, component generation, package management, and documentation with AI-powered assistance.

Enables AI-driven frontend component design and code generation from natural language requirements. Supports Vue, React, and Angular with intelligent component decomposition, API design, and complete project generation.

Enables easy gRPC requests and Protocol Buffer file information retrieval through natural language commands. Supports unary RPCs with SSL, timeout configuration, and response time statistics.

A Python MCP server that allows programmatic interaction with YggTorrent, enabling torrent search, details retrieval, and magnet link generation without exposing your Ygg passkey.

Enables text generation using the Qwen Max language model with configurable parameters and seamless integration with Claude Desktop via the Model Context Protocol (MCP).

An MCP server that supercharges AI assistants with powerful tools for software development, enabling research, planning, code generation, and project scaffolding through natural language interaction.

A Model Context Protocol server that retrieves current weather information for any city using the OpenWeatherMap API, designed for integration with Claude Code.

A server that enables retrieval of Sentry issues through two simple tools - get a specific issue by URL/ID or get a list of issues from a project.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK. Includes example tools for calculations and greetings, plus system information resources.

A simple MCP server that provides a tool to fetch current weather information for cities using the Open-Meteo API, communicating through stdin/stdout.