mcp-name: io.github.nipunkhanderia/golden-dataset-mcp
golden-dataset-mcp
MCP Registry
The MCP registry provides MCP clients with a list of MCP servers, like an app store for MCP servers.
Development Status
[!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.
2025-09-04 update: We're targeting a 'preview' go-live on 8th 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 stable release
docker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:latest
# Run latest from main branch (continuous deployment)
docker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:main
# Run specific release version
docker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:v1.0.0
# Run development build from main branch
docker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:main-20250906-abc123d
Available tags:
- Releases:
latest,v1.0.0,v1.1.0, etc. - Continuous:
main(latest main branch build) - Development:
main-<date>-<sha>(specific commit builds)
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!
./bin/mcp-publisher --help
See the publisher guide 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/ # Documentation
├── 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 documentation for more details if your question has not been answered here!
Metadata
Release files for golden-dataset-mcp 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| golden_dataset_mcp-0.1.2.tar.gz | 9.4 MB | Without provenance | Details for golden_dataset_mcp-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| golden_dataset_mcp-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for golden_dataset_mcp-0.1.2-py3-none-any.whl |
Total release size: 9.4 MB
Release files / golden_dataset_mcp-0.1.2.tar.gz
| Download URL | golden_dataset_mcp-0.1.2.tar.gz |
|---|---|
| Size | 9.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ef98ba901e2bac01918b9aafdd84b10e22a7ee3fca16dc5d9c5b3e441d7aede4
|
|
BLAKE2b-256 checksum How to use checksums |
c11bd65f075d5ce13eaae6b4125c89f1476c090d5bf895f2ecc5681f189413f3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.0
|
Release files / golden_dataset_mcp-0.1.2-py3-none-any.whl
| Download URL | golden_dataset_mcp-0.1.2-py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0f537284bf757d4b323e86d05eafe01b60d8ce5a6840afe63f599b7793b243c7
|
|
BLAKE2b-256 checksum How to use checksums |
b5b6a4d5519d9bdfd4a30d9c52602f91074e100782e0e07a0722be2a00d62033
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.0
|
Security for golden-dataset-mcp 0.1.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.