MCP Registry is the canonical directory service governed under the Model Context Protocol project. It gives MCP client apps a machine-readable list of published MCP servers, and gives server authors a single place to publish metadata. *Vendor-described* purpose: the README frames it as "an app store for MCP servers." The practical value is a neutral, standards-aligned source of truth rather than a proprietary marketplace — you can consume the free hosted public API (`registry.modelcontextprotocol.io`) or run your own instance behind your firewall. Publishing is via a CLI or web interface. As of its post-preview release the API is in a v0.1 freeze, so integrators get a stable-ish contract but should expect the schema to evolve. It is infrastructure/plumbing, not an end-user product — evaluate it as a data source and self-host option, not a dashboard.
MCP Registry
Official open catalog of Model Context Protocol servers
The official, community-run registry for discovering and publishing Model Context Protocol (MCP) servers — an open index that MCP clients read to find available servers.
Pricing
Free. Public hosted registry API is free to query; self-hosting (Docker/Go) carries only your own infra cost. No license fees, no paid tiers.
Platforms
Hosted public HTTP API (`/v0/servers`) for discovery; self-hostable via Docker or Go source; server publishing via official CLI or web UI. Cross-platform (Go service).
Categories
Tags
Alternatives
Smithery
MCP server registry and hosting
Registry and management platform for Model Context Protocol (MCP) servers that helps teams securely discover, install, deploy, and connect MCP servers for AI assistants. Smithery combines a searchable catalog, CLI setup, hosted deployments, namespaces, connection APIs, and scoped service-token flows for clients such as Claude, Cursor, Windsurf, and Codex.
Glama
MCP server directory and gateway
AI gateway and model management platform that provides a unified API for accessing multiple LLM providers (OpenAI, Anthropic, Google, Mistral, and more) through a single endpoint. Features model routing, cost tracking, usage analytics, rate limiting, and API key management across providers. Simplifies multi-provider AI integration by handling authentication, billing, and failover in one place. Useful for teams evaluating multiple models or building provider-agnostic AI applications.
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