About In Action
In Action is an MCP server published by huangjia2019 in the AI category: 极客时间MCP新课已经上线！超2000同学一起开启MCP学习之旅！.
The repository has 128 stars and 75 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/huangjia2019/mcp-in-actionThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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Security checks
Static checks derived from the repository 2 hours ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- !License declaredNo license file. Legally you have no right to use it in a product.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
极客时间专栏学习之旅
本专栏自上线两周以来，已有近3000位同学加入学习之旅。欢迎你一同开启知识探索之门！
什么是 MCP 协议？
MCP（Multi-Channel Protocol，多通道协议）是一种面向 AI Agent 的通用通信协议，旨在实现多种智能体之间的高效协作与资源共享。MCP协议支持多种数据类型、工具调用、资源发现等能力，是现代智能体系统的基础通信桥梁。
MCP协议的核心特性包括：
- 支持多种通信通道（如标准输入输出、网络等）
- 统一的消息格式，便于扩展
- 丰富的工具调用与资源发现机制
专栏简介
本专栏以MCP协议为核心，带你从零实践AI Agent的通信、工具调用、资源发现、提示模板等关键能力。内容涵盖：
- MCP协议原理与实现
- 典型AI Agent通信场景
- 工具链与资源管理
- 提示模板与智能体协作
通过理论结合大量实战代码，帮助你快速掌握AI Agent开发的核心技能。
欢迎关注专栏，开启你的AI Agent开发之旅！
README fetched from the repository 2 hours ago. The original is authoritative.