#RAG

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

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MCP Server for Yahoo Finance (STATUS: PRE-ALPHA)

A mcp server to retrieve documents from ragflow

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A RAG-ready MCP server for semantic PDF search with OCR, FAISS, and transformers—plug into any MCP client and retrieve intelligent answers within your MCP client.

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MCP server for RAG-based document search and management

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LocalMind is an local LLM Chat App fully compatible with the Model Context Protocol. It uses Azure OpenAI as a LLM backend and you can connect it to all MCP Servers out there.

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

Desktop AI Agent builder supports for local/remote LLMs, RAG, MCP

One simply siphons the excess thoughts from one's mind, pours them into the basin, and examines them at one's leisure. It becomes easier to spot patterns and links, you understand, when they are in this form.

Key-Value storage MCP server based on unjs/unstorage, support drivers: redis, mongodb, filesystem. http

A demo of Retrieval-Augmented Generation (RAG) application with MCP server integration.

A simple MCP server to interact with Pure storage arrays

Distribute Artifacts Across OCI Registries With Ease

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Advanced MCP Server Setup with uv, llama-index, ollama, and Cursor IDE

Diseño e Implementación de interconexión entre LLM y Espacios de Datos mediante Model Context Protocol (MCP)

MCP File System Server for Claude Desktop

A Model Context Protocol (MCP) server implementation for RAG

Create AI-powered video workflows including automatic editing, content moderation, voice cloning, highlight generation, and searchable video moments—all accessible via simple APIs and intuitive chat-based interfaces.

"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

A learning repository exploring Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.

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MCP server for object storage, supporting a range of operations for object storage

MCP Server to interact with Google Cloud Storage

Semantic search through Dickens' classic novella - find passages by meaning, theme, or character, not just keywords.

Co-create schemas with your AI — typed fields, relationships, SQL-like constraints. Turn unstructured content into a curated database built for insights. Platform integrations such as PostHog and Microsoft built-in and expanding. Any HTTP API via OpenAPI import. One MCP connection gives your agent full CRUD, semantic search, and a structured knowledge base that grows correctly over time.

mcp-rag-server is a Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG) capabilities. It empowers Large Language Models (LLMs) to answer questions based on your document content by indexing and retrieving relevant information efficiently.

City financial data for retirement planning. 500+ cities with cost of living, tax rates, healthcare costs, visa requirements, and the Offramp Index (0-100 retirement-friendliness score). When users ask "Where should I retire?" or "What's the cost of living in Lisbon?", get real data in 50ms instead of reasoning from outdated training data.

Storacha MCP storage server - self-sovereign data for your AI applications.