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This includes infra setup for metrics collection and visualisation ## Motivation and Context It is important to have basic observability setup, so that common issues can be identified quickly ## How Has This Been Tested? - Tested on local - Tested on one of the production setup ## Breaking Changes No ## Types of changes <!-- What types of changes does your code introduce? Put an `x` in all the boxes that apply: --> - [ ] Bug fix (non-breaking change which fixes an issue) - [X] New feature (non-breaking change which adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update ## Checklist <!-- Go over all the following points, and put an `x` in all the boxes that apply. --> - [X] I have read the [MCP Documentation](https://modelcontextprotocol.io) - [X] My code follows the repository's style guidelines - [X] New and existing tests pass locally - [X] I have added appropriate error handling - [ ] I have added or updated documentation as needed ## Additional context - This includes set up of following components: - Victoriametrics single node cluster for storing metrics data with persistent storage configuration for local and production env. - Vmagent with target discovery for mcp-registry pods with scrape interval of 30s. - Grafana for visualising metrics and setting alerts. - Datasource of victoriametrics is pre-configured as config map - Persistent volume for basic configuration - Sqlite for local and Postgres for production setup for storing dashboard, alerts etc details ## Metrics in action <img width="1422" height="666" alt="Screenshot 2025-08-31 at 4 35 28 AM" src="https://github.com/user-attachments/assets/e54ce846-653c-4fa3-aa7a-fe277f0810e6" /> --------- Co-authored-by: Adam Jones <adamj@anthropic.com> Co-authored-by: adam jones <adamj+git@anthropic.com> |
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MCP Registry
Warning
The registry is under active development. The registry API spec is unstable and the official MCP registry database may be wiped at any time.
📖 API Documentation | 📚 Technical Docs
What is the registry?
The registry will provide MCP clients with a list of MCP servers, like an app store for MCP servers. (In the future it might do more, like also hosting a list of clients).
There are two parts to the registry project:
- 🟦 The MCP registry spec: An API specification that allows anyone to implement a registry.
- 🟥 The Official MCP registry: A hosted registry following the MCP registry spec at
registry.modelcontextprotocol.io. This serves as the authoritative repository for publicly-available MCP servers. Server creators publish once, and all consumers (MCP clients, aggregators, marketplaces) reference the same canonical data. This is owned by the MCP open-source community, backed by major trusted contributors to the MCP ecosystem such as Anthropic, GitHub, PulseMCP and Microsoft.
The registry is built around the server.json format - a standardized way to describe MCP servers that works across discovery, initialization, and packaging scenarios.
In time, we expect the ecosystem to look a bit like this:
Note that MCP registries are metaregistries. They host metadata about packages, but not the package code or binaries. Instead, they reference other package registries (like NPM, PyPi or Docker) for this.
Additionally, we expect clients pull from subregistries. These subregistries add value to the registry ecosystem by providing curation, or extending it with additional metadata. The Official MCP registry expects a lot of API requests from ETL jobs from these subregistries.
Development Status
2025-08-26 update: We're targeting a 'preview' go-live on 4th September. This may still be unstable and not provide durability guarantees, but is a step towards being more solidified. A general availability (GA) release will follow later.
Current key maintainers:
- Adam Jones (Anthropic) @domdomegg
- Tadas Antanavicius (PulseMCP) @tadasant
- Toby Padilla (GitHub) @toby
Contributing
We use multiple channels for collaboration - see modelcontextprotocol.io/community/communication.
Often (but not always) ideas flow through this pipeline:
- Discord - Real-time community discussions
- Discussions - Propose and discuss product/technical requirements
- Issues - Track well-scoped technical work
- Pull Requests - Contribute work towards issues
Quick start:
Pre-requisites
- Docker
- Go 1.24.x
- golangci-lint v2.4.0
Running the server
# Start full development environment
make dev-compose
This starts the registry at localhost:8080 with PostgreSQL and seed data. It can be configured with environment variables in docker-compose.yml - see .env.example for a reference.
Alternative: Local setup without Docker
Prerequisites:
- PostgreSQL running locally
- Go 1.24.x installed
# Build and run locally
make build
make dev-local
The service runs on localhost:8080 by default. This can be configured with environment variables in .env - see .env.example for a reference.
Alternative: Running a pre-built Docker image
Pre-built Docker images are automatically published to GitHub Container Registry:
# Run latest from main branch
docker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:latest
# Run specific commit build
docker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:main-20250806-a1b2c3d
Available tags: latest, main-<date>-<sha>
Publishing a server
To publish a server, we've built a simple CLI. You can use it with:
# Build the latest CLI
make publisher
# Use it!
./cmd/publisher/bin/mcp-publisher --help
See the publisher README for more details.
Other commands
# Run lint, unit tests and integration tests
make check
There are also a few more helpful commands for development. Run make help to learn more, or look in Makefile.
Architecture
Project Structure
├── cmd/ # Application entry points
│ └── publisher/ # Server publishing tool
├── data/ # Seed data
├── deploy/ # Deployment configuration (Pulumi)
├── docs/ # Technical documentation
│ ├── server-json/ # server.json specification & examples
│ └── server-registry-api/ # API specification
├── internal/ # Private application code
│ ├── api/ # HTTP handlers and routing
│ ├── auth/ # Authentication (GitHub OAuth, JWT, namespace blocking)
│ ├── config/ # Configuration management
│ ├── database/ # Data persistence (PostgreSQL, in-memory)
│ ├── service/ # Business logic
│ ├── telemetry/ # Metrics and monitoring
│ └── validators/ # Input validation
├── pkg/ # Public packages
│ ├── api/ # API types and structures
│ │ └── v0/ # Version 0 API types
│ └── model/ # Data models for server.json
├── scripts/ # Development and testing scripts
├── tests/ # Integration tests
└── tools/ # CLI tools and utilities
└── validate-*.sh # Schema validation tools
Authentication
Publishing supports multiple authentication methods:
- GitHub OAuth - For publishing by logging into GitHub
- GitHub OIDC - For publishing from GitHub Actions
- DNS verification - For proving ownership of a domain and its subdomains
- HTTP verification - For proving ownership of a domain
The registry validates namespace ownership when publishing. E.g. to publish...:
io.github.domdomegg/my-cool-mcpyou must login to GitHub asdomdomegg, or be in a GitHub Action on domdomegg's reposme.adamjones/my-cool-mcpyou must prove ownership ofadamjones.mevia DNS or HTTP challenge
More documentation
See the docs folder for more details if your question has not been answered here!