MCP Registry MCP

mcp-registry-mcp is an MCP server that provides an interface for interacting with an upstream Model Context Protocol registry server. Developed under the Red Hat AI Tools organization, this server enables AI agents and developers to query centralized registry instances directly through standardized MCP tool calls. Users such as DevOps engineers, toolchain developers, and agent system builders use it to automate the discovery and verification of MCP services across an infrastructure. The server exposes specific operations to check registry health, inspect runtime configuration values, paginate through registered server records, and fetch detailed metadata for specific server entries using unique identifiers. By serving as an intermediary to the registry, it allows language models to dynamically inspect the ecosystem of available MCP services, evaluate endpoint availability, and retrieve configuration parameters needed to orchestrate multiple tools without manual web dashboard navigation.

Category: AI & LLM Tooling

Tags: discovery, package-management, registry

Visit MCP Registry MCP

How to install and configure MCP Registry MCP

1. Ensure Podman or Docker is installed on your host system. 2. Open your MCP client configuration file (such as Claude Desktop or Cursor). 3. Add the server entry to the mcpServers object with the container command: json { "mcpServers": { "mcp-registry": { "command": "podman", "args": [ "run", "-i", "--rm", "-e", "MCP_REGISTRY_URL", "-e", "MCP_TRANSPORT", "quay.io/maorfr/mcp-registry-mcp:latest" ], "env": { "MCP_REGISTRY_URL": "https://your-domain.mcp-registry.co", "MCP_TRANSPORT": "sse" } } } } 4. Update MCP_REGISTRY_URL to match your target registry domain and restart the client.

What you can do with MCP Registry MCP

• Check upstream MCP registry health and network status directly within an AI chat interface to confirm service availability. * Query environment configuration information and verify transport connectivity parameters using the built-in ping endpoint. * Browse catalogued server entries with pagination support to discover newly registered MCP tools and services. * Retrieve full metadata and technical configurations for a specific server instance by providing its unique identifier.

Key facts

• Open Source
• https://github.com/redhat-ai-tools/mcp-registry-mcp
• AI & LLM Tooling, Developer Tools & Code Intelligence
• discovery, package-management, registry

Part of MCP Servers

What is mcp-registry-mcp?

mcp-registry-mcp is an open source Model Context Protocol server that connects AI assistants to an MCP registry instance. It enables tools to list entries, check service health, and fetch individual server details.

How do I install mcp-registry-mcp?

You run mcp-registry-mcp via Podman or Docker using the quay.io/maorfr/mcp-registry-mcp container image. Configure your client configuration file by passing the container command along with your target registry URL and transport type.

What tools are included in mcp-registry-mcp?

The server exposes four primary tools: health_check for validating the registry status, ping for returning environment configurations, list_registry_server_entries for browsing servers, and get_server_details for inspecting specific servers.

Is mcp-registry-mcp open source?

Yes, mcp-registry-mcp is an open source project maintained in the redhat-ai-tools repository on GitHub.