GitHub has unveiled the GitHub MCP Registry, a centralized platform aimed at enhancing the discovery and integration of Model Context Protocol (MCP) servers for developers. The registry is set to simplify workflows and reduce inefficiencies in connecting AI tools with development environments.
Tackling a fragmented ecosystem
The newly launched MCP Registry seeks to address the challenges developers face when integrating AI agents into their toolkits. According to GitHub, the current landscape of MCP servers is fragmented, with resources scattered across registries, repositories, and community threads. This disorganization has made it difficult for developers to find the right tools efficiently while also raising concerns about security and interoperability.
"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", said Toby Padilla, Principal Product Manager at GitHub. "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."
Padilla emphasized that the launch of the MCP Registry is a step toward solving these issues. "Today, we’re taking the first step toward solving this challenge. The GitHub MCP Registry launches as a 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", he added.
Streamlined MCP integration
MCP, or Model Context Protocol, is an extensible framework that facilitates communication between AI agents and development tools. The protocol allows agents to access and interact with external systems, enabling more advanced workflows for software development teams.
The MCP Registry is designed to make MCP server discovery seamless within development environments such as VS Code, offering one-click installation options. Developers can also sort servers based on GitHub community activity and star ratings, helping them select tools that best suit their needs.
Collaborative efforts with industry leaders
The launch of the registry includes a curated selection of MCP servers from notable partners such as Figma, Postman, HashiCorp, and Dynatrace. These integrations showcase the potential for enhanced workflows and connectivity in software development.
Anna Kohnen, VP of Business Development at Figma, highlighted how the registry supports design-to-code workflows: "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."
At Postman, the registry is seen as a critical step in creating AI-ready APIs. "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", said Bajali Raghavan, Head of Engineering at Postman.
HashiCorp’s contributions include their Terraform MCP server, which simplifies infrastructure management. "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", said Chris Audie, SVP Product Management at HashiCorp.
Dynatrace also brings AI-powered observability and performance tools to the table. "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", said Bonifaz Kaufmann, VP Product at Dynatrace.
Toward an open and collaborative ecosystem
In addition to its proprietary offerings, GitHub is collaborating with Anthropic and the MCP Steering Committee to establish an open-source MCP registry. This initiative will allow developers to self-publish MCP servers to the OSS MCP Community Registry, with those entries seamlessly appearing in the GitHub MCP Registry. The goal is to reduce redundancy, improve transparency, and foster broader contributions to the MCP ecosystem.
GitHub has also integrated its Remote GitHub MCP Server into the registry. This feature, which recently became generally available, enables AI agents to access GitHub repositories, issues, and pull requests, supporting sophisticated workflows across development teams.
By consolidating MCP servers into a unified platform, GitHub aims to make MCP server discovery as intuitive as searching on the GitHub platform itself. The MCP Registry represents a step forward in simplifying how developers integrate AI tools into their workflows.
