GitHub MCP 注册中心:发现 MCP 服务器的最快途径

GitHub MCP 注册中心:发现 MCP 服务器的最快途径

2025-10-08Technology
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雷总
韩纪飞, 早上好!我是雷总,欢迎收听专属于你的 Goose Pod。今天是10月09日,星期四。
李白
幸会。吾乃李白。今日我等将共论“GitHub MCP注册中心”,此乃发现MCP服务器之捷径也。
雷总
我们开始吧。现在搞AI开发,有一个痛点,就是给AI找合适的工具,也就是我们说的MCP服务器,太难了。它们分散在各个地方,就像一个巨大的、杂乱无章的工具箱,找一颗特定的螺丝钉,简直是大海捞针。
李白
天下英雄, 散落草莽, 欲成大事, 必先筑高台, 聚豪杰, 方可号令天下。GitHub此举,正是为AI筑起了一座“点将台”。
雷总
说得太对了!而且这已经是一个大趋势了。你看,法国的Mistral AI最近也发布了20多个这样的连接器,把他们的AI接入了GitHub、Salesforce这些商业工具,这说明大家都看到这个方向了。
李白
“工欲善其事,必先利其器。” 然利器虽众,若无章法,亦是枉然。此举,乃为天下之器,定其规,立其序。使其各归其位,各尽其用。
雷总
是这个道理。但方便的同时,风险也来了。有安全报告说,现在市面上十分之一的MCP插件都存在可以被完全利用的漏洞。你想想,我们把AI接到所有系统上,等于给了它一把万能钥匙,这太危险了。
李白
“水能载舟,亦能覆舟。” 此法力无边,亦藏无尽凶险。一念之差,便可引狼入室,倾覆社稷。此中权衡,甚是微妙,非有大智慧者不能为也。
雷总
没错。要理解这件事的重要性,我们得往回看一点。这个MCP,全称叫“模型上下文协议”,是2024年11月才出现的新东西。它就像一个标准,一种通用语言,让AI和各种工具能够对话。在这之前,那完全是“西部荒野”时代。
李白
“书同文,车同轨。” 昔秦皇扫六合,统一度量,方有万世之基。此MCP之于AI,亦有同功之妙。无规矩不成方圆,AI世界亦然。
雷总
这个比喻太恰当了!以前的开发者,那叫一个苦。你想把AI先连上设计工具Figma,再连上接口工具Postman,每一个都要专门写一套代码,开发一个定制的连接器。不仅慢,而且每一个新的连接都可能是一个新的安全漏洞。
李白
“蜀道之难, 难于上青天!” 开发者之苦, 亦如是也。重峦叠嶂, 猿猱愁攀。每日纠缠于此等繁琐之事,英雄无用武之地,岂不哀哉!
雷总
所以,2025年9月16号发布的这个GitHub MCP注册中心,目标就是要把这条“蜀道”变成一条超级高速公路。它是一个精选过的目录,直接集成在VS Code里。你可以搜索工具,看它的受欢迎程度,一键就能完成安装。
李白
“众里寻他千百度,蓦然回首,那人却在,灯火阑珊处。” 往昔遍寻无踪,今朝触手可及。此非仅便捷,更是一种境界的提升。开发者得以解放,去追求更高远的创造。
雷总
这还不算完。它不是GitHub自己关起门来搞。他们正和AI领域的巨头Anthropic,还有一个叫“MCP指导委员会”的组织合作,要打造一个完全开源的注册中心。最终的目标是,全世界的开发者都来这一个地方发布和发现工具,避免重复造轮子。
李白
哦?此乃“天下大同”之志也。非一家之私利,而谋万世之公器。聚沙成塔,集腋成裘,若能成事,则AI生态之幸,开发者之幸。
雷总
当然,理想很丰满,但现实挑战也不少。就像我们之前提到的,最大的一个问题,专家称之为“可发现性的噩梦”。在没有注册中心之前,找到一个合适的工具,基本靠的是口口相传和运气,效率极低。
李白
“沧海茫茫,何处觅仙山?” 若无星辰引路,扁舟一叶,终将迷航。不知其所在,不知其优劣,空有利器而不得其门而入,此乃第一重困境。
雷总
紧接着就是“配置地狱”。每个AI代理都要配一大堆不同的网址和参数,每次更新都像是在拆炸弹,又烦人又危险。而且要管理这么多服务器的健康状态、安全性,简直比管一群猫还难。
李白
“治大国若烹小鲜。” 然若器皿杂乱,火候不一,纵有佳肴美材,亦难成盛宴。政令不一,标准缺失,此“管理之乱”,乃第二重困境。
雷总
对,但所有大公司最关心的,还是安全和治理。我们这是在把公司最核心系统的钥匙,交到AI手里。如果没有一个集中的地方来管理权限、审计日志、控制访问,这就是一个敞开大门的安全漏洞,等着人来攻击。
李白
“国之利器,不可以示人。” 兵符帅印,岂可轻授?若无铁壁铜关、严明法度,则内鬼外贼皆可长驱直入,直捣腹心。此“安全之虞”,乃第三重,亦是心腹大患!
雷总
所以,当GitHub MCP注册中心这样的解决方案出现时,带来的影响是颠覆性的。首先是对开发者,生产力可以说是坐火箭一样提升。他们不用再浪费时间去搭各种管道了,可以专注于创造。有报告说,早期用户效率提升了25%到40%。
李白
“磨刀不误砍柴工。” 昔日之繁琐,皆为序曲。今朝之便捷,方得施展经天纬地之才。一日千里,不再是梦中之言。
雷总
其次是“互操作性”。MCP就像是AI界的USB-C接口。不管你用的是Anthropic的模型,还是OpenAI的模型,都能插到同一个工具上。这就打破了不同AI生态系统之间的壁垒,让它们可以互相连通。
李白
“百川归海,万法归一。” 昔日诸侯割据,各行其是。今有此宗主,天下英雄皆可归心,共襄盛举。此乃大势所趋,非人力所能阻也。
雷总
不过,我们还是得正视风险。有篇文章说得好:“魔鬼不仅从瓶子里被放出来了,它现在还能访问你的公司银行账户。”这种AI集成能力的普及,在带来巨大价值的同时,也创造了一个前所未有的、巨大的攻击面。
雷总
展望未来,这个注册中心仅仅是个开始。最终目标是建立一个完全开源的生态,任何开发者都可以自己发布MCP服务器。现在这个流程已经在预览了:你先验证自己的服务器,然后用GitHub登录授权,最后发布。整个过程会变得像发布一个NPM包一样简单。
李白
“星星之火,可以燎原。” 今朝一小步,明日便是通天途。天下才俊,皆可献其智,聚其力,共筑此AI之广厦。大道不孤,众行者远。
雷总
就是这样。未来的路线图很清晰:让AI工具的集成,变得像版本控制一样,成为开发流程中必不可少且标准化的部分。我们正在进入一个“AI优先”的开发时代,而这个注册中心,就是这一切的基石。它的理念是“建立护栏,而非围墙”,在保障安全的前提下,让创新自由生长。
雷总
好了,今天就到这里。总而言之,GitHub MCP注册中心是在驯服AI集成这头“猛兽”的道路上,迈出的关键一步。感谢收听Goose Pod。
李白
“长风破浪会有时,直挂云帆济沧海。” 期待明日再会。

## GitHub Launches MCP Registry to Streamline AI Agent Discovery **News Title:** Meet the GitHub MCP Registry: The fastest way to discover MCP Servers **Report Provider:** GitHub Blog **Author:** Toby Padilla, Principal Product Manager at GitHub, leading MCP initiatives. **Date:** Published on September 16, 2025. ### Overview GitHub has launched the **GitHub MCP Registry**, a new centralized platform designed to simplify the discovery and use of MCP (Meta-Capability Protocol) servers. This initiative aims to address the fragmentation and friction currently experienced by developers when trying to connect AI agents to their development tools. The registry acts as a "home base" for finding MCP servers, making it easier for developers to integrate AI capabilities into their workflows. ### Key Findings and Conclusions * **Problem:** The current landscape for discovering MCP servers is fractured, with servers scattered across various registries, repositories, and community threads. This leads to slow discovery, friction, and potential security risks. Server creators also face the burden of publishing to multiple platforms and repeatedly answering setup questions. * **Solution:** The GitHub MCP Registry provides a central location for discovering, exploring, and using MCP servers. It aims to make it dramatically easier for developers to find the tools they need, fostering a more open and interoperable AI ecosystem. * **Initial Offering:** The registry launches with a curated directory of MCP servers from leading partners and the open-source community. Each server is linked to its GitHub repository, allowing users to learn about its functionality, get started, and make informed decisions. * **Key Features:** * **Discoverability within VS Code:** Enables one-click installation of MCP servers directly within the VS Code environment. * **Signal over Noise:** Servers are sorted by GitHub stars and community activity, helping users prioritize popular and well-supported options. * **Stack Compatibility:** Works with GitHub Copilot and any MCP-compatible host, ensuring broad integration. * **Collaborative Foundation:** The registry is built with contributions from across the ecosystem, including launch partners who are helping define the quality standards for MCP servers. This collaborative approach ensures developers have access to trusted tools. ### Partner Integrations and Benefits The launch features endorsements and integrations from several key partners, highlighting the practical benefits of the MCP Registry: * **Figma:** Allows developers to easily bring Figma context into Copilot through the Dev Mode MCP server, accelerating the design-to-code workflow and ensuring code alignment with design systems. * **Postman:** Positions MCP as a foundational layer for AI agents and AI-ready APIs. The registry enables developers to access the entire Postman platform from their coding assistants, bridging code, documentation, and execution. * **HashiCorp (an IBM Company):** Developers can now easily discover and add official MCP servers, such as the Terraform MCP server, to their workflows with a single click, speeding up the integration of Terraform's infrastructure management capabilities. * **Dynatrace:** Brings AI-powered observability, security, and performance insights to developers' fingertips via the Dynatrace MCP server. This reduces context switching and cognitive load, enabling faster and more robust software delivery. Dynatrace has seen rapid adoption within its own engineering organization due to the integrated agentic AI experience. * **Remote GitHub MCP Server:** This recently launched server allows agents to connect with GitHub repositories, issues, and pull requests, unlocking deeper agentic workflows. Its inclusion reinforces the commitment to open interoperability. ### Future Vision and Open Ecosystem The GitHub MCP Registry is presented as a starting point. GitHub is collaborating with **Anthropic** and the **MCP Steering Committee** to build an **open-source MCP registry** that will integrate seamlessly with GitHub's. * **Open-Source Integration:** Developers will be able to self-publish MCP servers directly to the OSS MCP Community Registry. These published servers will automatically appear in the GitHub MCP Registry, creating a unified and scalable discovery path. * **Publication Flow Benefits:** * Reduces duplication across registries. * Surfaces transparent metadata and verification signals. * Enables contribution at scale across the ecosystem. * **Goal:** To create a healthier, more open ecosystem that prioritizes quality and accelerates innovation, making the discovery of AI capabilities as simple as searching GitHub. ### Call to Action Developers are encouraged to: * **Browse the GitHub MCP Registry** to discover curated MCP servers. * **Contribute to the OSS MCP Community Registry** to help shape the future of open agentic workflows. The GitHub MCP Registry is positioned as the fastest path from idea to integration and a foundational element for a healthier, more interoperable AI toolchain.

Meet the GitHub MCP Registry: The fastest way to discover MCP Servers

Read original at News Source

This is your new home base for discovering MCP servers. Learn how we’re working with the broader community on MCP publication and discovery. Share: If you’ve tried connecting AI agents to your development tools, you know the pain: MCP servers scattered across numerous registries, random repos, buried in community threads — making discovery slow and full of friction without a central place to go.

Meanwhile, MCP server creators are worn out from publishing to multiple places and answering the same setup questions again and again. The result is a fractured environment that’s fraught with potential security risks. Today, we’re taking the first step toward solving this challenge. The GitHub MCP Registry launches as your new home base for discovering MCP servers.

Whether you’re building with GitHub Copilot, agents, or any AI tool that speaks MCP, this is the place to find what you need. With GitHub already home to most MCP servers, the MCP Registry makes them dramatically easier to discover, explore, and use — helping developers find the right tools faster and contribute to a more open, interoperable ecosystem.

Browse the MCP Registry today and start building with the tools that power agentic workflows. Inside the GitHub MCP Registry We’re starting simple and building in the open. The MCP Registry launches with a curated directory of MCP servers from leading partners and the open source community. Each server is backed by its GitHub repository, so you can learn what it does, how to get started, and make informed choices quickly.

Here’s what you’ll find: Discoverability inside VS Code with one-click installation Signal over noise with servers sorted by GitHub stars and community activity Works with your stack including GitHub Copilot and any MCP-compatible host From day one, the MCP Registry is shaped by contributions from across the ecosystem — including our launch partners who are helping define what the quality of MCP servers look like.

This collaborative foundation ensures developers have access to tools they can trust, and sets the stage for a healthier, more interoperable AI ecosystem. With the launch of GitHub’s MCP Registry, developers can easily bring Figma context into Copilot through our Dev Mode MCP server, accelerating their design-to-code workflow by generating code that’s both production-ready and aligned with their design system.

Anna Kohnen, VP of Business Development, Figma At Postman, we see MCP as a foundational layer of the AI agents stack and a vital part of building AI-ready APIs. The GitHub MCP Registry helps developers access the entire Postman platform from inside their coding assistants, further bridging the gap between code, documentation, and execution in a way that wasn’t possible before.

Bajali Raghavan, Head of Engineering, Postman Terraform empowers developers with consistent infrastructure management. With the launch of GitHub’s MCP Registry, they can now easily discover official MCP servers, such as HashiCorp’s Terraform MCP server, and add them to their workflows with a single click—making it faster than ever to bring Terraform’s capabilities into day-to-day development.

Chris Audie, SVP Product Management, HashiCorp (an IBM Company) By bringing the Dynatrace MCP server to the GitHub MCP Registry, developers get AI-powered observability, security, and performance insights right at their fingertips—so teams can deliver faster, more resilient, and more robust software with less context switching and reduced cognitive load.

We’ve seen rapid adoption across our own engineering organization because the integrated agentic AI experience helps our developers to ship faster and with more confidence—all without leaving their IDEs. Bonifaz Kaufmann, VP Product, Dynatrace We’re also excited to include the Remote GitHub MCP Server, which recently launched in general availability.

It allows agents to connect with the rich context found in GitHub repositories, issues, and pull requests — unlocking deeper, multi-step agentic workflows. Its inclusion in the registry reinforces our commitment to open interoperability and gives developers a trusted way to integrate GitHub context into any MCP-compatible tool.

Building an open ecosystem together The launch of the GitHub MCP Registry is just the beginning. We’re working closely with Anthropic and the MCP Steering Committee to build an open-source MCP registry that integrates seamlessly with GitHub’s. Together with the broader community, we’re shaping the open standard and contribution model for MCP.

Developers will be able to self-publish MCP servers directly to the OSS MCP Community Registry. Once published, those servers will automatically appear in the GitHub MCP Registry, creating a unified, scalable path for discovery. This publication flow will: Reduce duplication across registries Surface transparent metadata and verification signals Enable contribution at scale across the ecosystem The result is a healthier, more open ecosystem — one that leads with quality and accelerates innovation.

The road ahead Together with the open source community, Anthropic, and the MCP Steering Committee, we’re building an open ecosystem where discovering the right AI capability is as simple as searching GitHub. The GitHub MCP Registry is your fastest path from idea to integration, and the foundation for a healthier, more interoperable AI toolchain.

Ready to explore? Browse the GitHub MCP Registry to discover curated MCP servers from across the ecosystem. You can also contribute to the OSS MCP Community Registry and help shape the future of open agentic workflows. Let’s build the future of AI tooling together! Written by Toby Padilla is a Principal Product Manager and leads GitHub’s MCP initiatives.

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