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Enables creating projects from uploaded files directly from AI assistants. Provides tools for obtaining upload URLs and creating project import jobs from previously uploaded files.

CP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.

Rad Security MCP

Rad Security MCP Server

rad-security MCP-server

公开目录未提供摘要。

A simple MCP server that implements a note storage system with RAG capabilities, allowing users to store notes and generate summaries of stored content.

Rag Browser

A Browser Automation Tool for Humans and AI - Built with Playwright, optimized for Bun runtime, supporting CLI and MCP Server modes for webpage analysis and automation

A lightweight server that provides persistent memory and context management for AI assistants using local vector storage and database, enabling efficient storage and retrieval of contextual information through semantic search and indexed retrieval.

Enables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.

Ragdb MCP

MCP対応のRAGシステム。Markdownドキュメントをベクトル化し、自然言語で高速検索。LibSQL、Qdrant、PostgreSQLに対応してます。

Integrates RAGFlow's knowledge base API with Claude Desktop for document retrieval, semantic search across multiple datasets, and intelligent query refinement using DSPy.

Provides a comprehensive Model Context Protocol interface for RAGFlow, enabling AI models to perform semantic retrieval, manage datasets, and handle document chunks. It supports advanced features like GraphRAG and RAPTOR for sophisticated knowledge base management and natural language querying.

A fixed MCP server that interacts with RAGFlow for dataset management and chat operations, handling legacy endpoint errors and providing a fallback to OpenAI-compatible endpoints.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

RAG Knowledge Graph - MCP server providing AI-powered tools and automation by MEOK AI Labs

RAG Knowledge - MCP server providing AI-powered tools and automation by MEOK AI Labs

Provides LLMs with live introspective access to a running Emacs instance to evaluate Elisp and inspect the internal environment. It enables tools for reading documentation, browsing Info manuals, querying completions, and accessing source code for functions and variables.

MapRag is a discovery + routing layer for retrieval. It indexes RAG-capable MCP servers, enriches them with structured metadata, and helps agents (and humans) quickly find the right retrieval server for a task under constraints like citations, freshness, privacy, domain, and latency. MapRag does not do RAG itself. It helps you choose the best RAG tool/server to do the retrieval.

Enables semantic search across text documents using vector embeddings stored in PostgreSQL. Provides multiple search modalities including semantic similarity, question/answer, and style-based search through a retrieval-augmented generation system.

A server that integrates Retrieval-Augmented Generation (RAG) with the Model Control Protocol (MCP) to provide web search capabilities and document analysis for AI assistants.

A Model Context Protocol server that exposes Retrieval-Augmented Generation capabilities and a weather tool, allowing clients to interact with document knowledge bases and retrieve weather information.