SnapState

by timbassler88

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GitHub

About

Persistent state for AI agent workflows. Save, resume, and replay multi-step workflows across sessions, crashes, and agent handoffs. Free tier included.

Details

Author
timbassler88
Categories
Developer Tools, AI, Automation

Setup

Install SnapState in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/timbassler88/snapstate

Follow the installation instructions in the repository README, then restart your MCP client.

The MCP registry provides MCP clients with a list of MCP servers, like an app store for MCP servers.

πŸ“€ Publish my MCP server|⚑️ Live API docs|πŸ‘€ Ecosystem vision| πŸ“–Full documentation

2025-10-24 update: The Registry API has entered anAPI freeze (v0.1)πŸŽ‰. For the next month or more, the API will remain stable with no breaking changes, allowing integrators to confidently implement support. This freeze applies to v0.1 while development continues on v0. We'll use this period to validate the API in real-world integrations and gather feedback to shape v1 for general availability. Thank you to everyone for your contributions and patienceβ€”your involvement has been key to getting us here!

2025-09-08 update: The registry has launched in preview πŸŽ‰ (announcement blog post). While the system is now more stable, this is still a preview release and breaking changes or data resets may occur. A general availability (GA) release will follow later. We'd love your feedback inGitHub discussionsor in the#registry-dev Discord(joining details here).

- Adam Jones(Anthropic)@domdomegg
- Tadas Antanavicius(PulseMCP)
@tadasant
- Toby Padilla(GitHub)
@toby
- Radoslav (Rado) Dimitrov(Stacklok)
@rdimitrov

We use multiple channels for collaboration - seemodelcontextprotocol.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

- Docker
- Go 1.24.x
- ko- Container image builder for Go (
installation instructions)
- golangci-lint v2.4.0

# Start full development environment make dev-compose

This starts the registry atlocalhost:8080with PostgreSQL. The database uses ephemeral storage and is reset each time you restart the containers, ensuring a clean state for development and testing.

Note:The registry useskoto build container images. Themake dev-composecommand automatically builds the registry image with ko and loads it into your local Docker daemon before starting the services.

By default, the registry seeds from the production API with a filtered subset of servers (to keep startup fast). This ensures your local environment mirrors production behavior and all seed data passes validation. For offline development you can seed from a file without validation withMCP_REGISTRY_SEED_FROM=data/seed.json MCP_REGISTRY_ENABLE_REGISTRY_VALIDATION=false make dev-compose.

The setup can be configured with environment variables indocker-compose.yml- see.env.examplefor a reference.

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

- Releases:latest,v1.0.0,v1.1.0, etc.
- Continuous:main(latest main branch build)
- Development:main-<date>-<sha>(specific commit builds)

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

Seethe publisher guidefor more details.

# Run lint, unit tests and integration tests make check

There are also a few more helpful commands for development. Runmake helpto learn more, or look inMakefile.

β”œβ”€β”€ cmd/ # Application entry points β”‚ └── publisher/ # Server publishing tool β”œβ”€β”€ data/ # Seed data β”œβ”€β”€ deploy/ # Deployment configuration (Pulumi) β”œβ”€β”€ docs/ # Documentation β”œβ”€β”€ internal/ # Private application code β”‚ β”œβ”€β”€ api/ # HTTP handlers and routing β”‚ β”œβ”€β”€ auth/ # Authentication (GitHub OAuth, JWT, namespace blocking) β”‚ β”œβ”€β”€ config/ # Configuration management β”‚ β”œβ”€β”€ database/ # Data persistence (PostgreSQL) β”‚ β”œβ”€β”€ service/ # Business logic β”‚ β”œβ”€β”€ telemetry/ # Metrics and monitoring β”‚ └── validators/ # Input validation β”œβ”€β”€ pkg/ # Public packages β”‚ β”œβ”€β”€ api/ # API types and structures β”‚ β”‚ └── v0/ # Version 0 API types β”‚ └── model/ # Data models for server.json β”œβ”€β”€ scripts/ # Development and testing scripts β”œβ”€β”€ tests/ # Integration tests └── tools/ # CLI tools and utilities └── validate-*.sh # Schema validation tools

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 repos
- me.adamjones/my-cool-mcpyou must prove ownership ofadamjones.mevia DNS or HTTP challenge

Check outcommunity projectsto explore notable registry-related work created by the community.

See thedocumentationfor more details if your question has not been answered here!

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