MCP Registry

The MCP Registry serves as a centralized catalogue of Model Control Protocol (MCP) servers that can be leveraged by Claude and other AI assistants. By providing a single, discoverable source of server metadata, it removes the friction that developers typically face when hunting for compatible MCP services across disparate projects. Instead of manually configuring each server or maintaining a bespoke list, developers can point their MCP Store Companion to the registry’s URLs and instantly gain access to a vetted set of capabilities.

At its core, the registry hosts JSON descriptors for each MCP server. These descriptors expose essential details such as the server’s name, description, endpoints, and supported features (e.g., resources, tools, prompts). Once integrated, an AI assistant can query the catalogue, retrieve a server’s capabilities, and invoke it directly within its workflow. This streamlined discovery process is particularly valuable for teams building complex AI pipelines where multiple specialized services—ranging from 3D rendering to version control—must be orchestrated.

Key features of the registry include:

• Unified Discovery: A single API endpoint () lists all available MCP servers, eliminating the need for manual discovery.
• Signature Verification: An optional signature file () allows clients to verify the authenticity of the catalogue, ensuring that only trusted servers are consumed.
• Extensibility: Developers can contribute new MCP servers via pull requests, fostering a community-driven ecosystem that grows alongside emerging AI tools.
• Cross‑Assistant Compatibility: While tailored for Claude, the registry’s format adheres to MCP standards, making it usable by any compliant AI assistant.

Typical use cases span from rapid prototyping—where a developer can instantly hook Claude to GitHub for code reviews—to production deployments that require real‑time 3D simulation or contextual documentation lookup. By abstracting the discovery and configuration layer, the MCP Registry enables developers to focus on crafting AI experiences rather than wrestling with integration plumbing.