docker/mcp-registry — Official Docker MCP registry

Description and use

**Summary**
docker/mcp-registry is the official Docker implementation of the Model Context Protocol (MCP) registry, providing a Go‑based, open‑source service that lets AI assistants discover and invoke real‑world tools and data sources through a standardized API. With 483 stars, 783 forks, recent commits (as of 2026‑05‑12) and strong community adoption, it is ready for pilot‑grade production use.

**Value** – By exposing tools, services, and datasets via MCP, the registry turns ad‑hoc AI integrations into a plug‑and‑play ecosystem, enabling developers to connect AI agents to internal tooling, ship custom MCP servers, and enforce a common contract across teams.

**Practical adoption path** – Start with a small proof‑of‑concept: clone the repo, run the provided Docker compose setup, and validate the README examples against a single internal tool. Once the basic flow works, incrementally register additional services, integrate CI/CD pipelines for automated registry updates, and expose the service behind your organization’s internal network.

**Production readiness** – The project shows high readiness: active maintenance, recent releases, and a sizable contributor base indicate stability; its Go implementation is lightweight and easy to containerize. After the initial PoC, perform a standard security audit (license compliance, vulnerability scanning of dependencies) and configure production‑grade observability (metrics, logging, TLS) before rolling it out to broader workloads.

Problem

docker/mcp-registry helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

Official Docker MCP registry

Source