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Introduction
MCP-Jina-AI is a powerful MCP (Model Control Protocol) tool that integrates Jina.ai's reader service to transform web content into large language model (LLM) friendly formats. It provides a simple and efficient way to convert web pages into structured text, making it easier for AI models to process. Features Easy URL content extraction Automatic conversion to LLM-friendly format Clean and structured output Fast and reliable processing Built with Go for high performance The server is implemented in Go(🏎️) and is self-hostable (🏠). Repository link: https://github.com/kealuya/mcp-jina-ai Thank you
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- [GLips/Figma-Context-MCP](https://github.com/GLips/Figma-Context-MCP) 📇 🏠 - 为编码代理提供直接访问Figma数据的权限,助力其一次性完成设计实现。
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- [QuantGeekDev/docker-mcp](https://github.com/QuantGeekDev/docker-mcp) 🏎️ 🏠 - 通过 MCP 进行 Docker 容器管理和操作
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- [zcaceres/fetch-mcp](https://github.com/zcaceres/fetch-mcp) 📇 🏠 - 一个灵活获取 JSON、文本和 HTML 数据的 MCP 服务器
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- [kealuya/mcp-jina-ai](https://github.com/kealuya/mcp-jina-ai) 🏎️ 🏠 - 集成 Jina.ai 将目标网页进行总结,转换成对LLM友好的Markdown格式返回
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- [r-huijts/xcode-mcp-server](https://github.com/r-huijts/xcode-mcp-server) 📇 🏠 🍎 - Xcode 集成,支持项目管理、文件操作和构建自动化
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- [snaggle-ai/openapi-mcp-server](https://github.com/snaggle-ai/openapi-mcp-server) 🏎️ 🏠 - 使用开放 API 规范 (v3) 连接任何 HTTP/REST API 服务器
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- [jetbrains/mcpProxy](https://github.com/JetBrains/mcpProxy) 🎖️ 📇 🏠 - 连接到 JetBrains IDE
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