Snapstate

io.github.timbassler88Published by GitHub account timbassler88v1.0.2Updated Oct 24, 2026

Persistent state for AI agent workflows. Save, resume, and replay multi-step workflows.

VerifiedSTDIODesktop onlyProductivity & WorkflowAI & ML

Overview

AI-generated overview

Snapstate gives an AI assistant persistent state for agent workflows, so multi-step runs can be saved, resumed and replayed.

What you can do
  • Save workflow state so an agent run can be picked up later
  • Resume a previously saved multi-step workflow from where it stopped
  • Replay recorded workflows to re-run or inspect earlier steps
  • Keep persistent state across agent sessions via the Snapstate API
  • The manifest lists no individual tools, so exact operations are not documented here.
When to use it
Useful when an assistant runs long or multi-step workflows that must survive interruptions, or when you want to resume and replay earlier agent runs instead of starting over.
Requirements
Runs as a local stdio process on the user's machine (desktop only), installed from the npm package snapstate-sdk. Requires a Snapstate API key in SNAPSTATE_API_KEY and the API endpoint in SNAPSTATE_API_URL, plus network access to that endpoint.
Before you install
The server needs a Snapstate API key (SNAPSTATE_API_KEY), which is a secret; store it in the environment rather than sharing it. Workflow state is sent to the configured Snapstate API endpoint, so review where SNAPSTATE_API_URL points. Saving, resuming and replaying workflows changes stored state.

Installation

In SourceWeft

  1. Open Snapstate in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

MCP Registry

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

📤 Publish my MCP server | ⚡️ Live API docs | 👀 Ecosystem vision | 📖 Full documentation

Development Status

2025-10-24 update: The Registry API has entered an API freeze (v0.1) 🎉. 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 patience—your involvement has been key to getting us here!

2025-09-08 update: The registry has launched in preview 🎉 (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 in GitHub discussions or in the #registry-dev Discord (joining details here).

Current key maintainers:

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
Running the server
bash
# Start full development environmentmake dev-compose

This starts the registry at localhost:8080 with 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 uses ko to build container images. The make dev-compose command 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 with MCP_REGISTRY_SEED_FROM=data/seed.json MCP_REGISTRY_ENABLE_REGISTRY_VALIDATION=false make dev-compose.

The setup can be configured with environment variables in docker-compose.yml - see .env.example for a reference.

Alternative: Running a pre-built Docker image

Pre-built Docker images are automatically published to GitHub Container Registry:

bash
# Run latest stable releasedocker 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 versiondocker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:v1.0.0
# Run development build from main branchdocker 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:

bash
# Build the latest CLImake publisher
# Use it!./bin/mcp-publisher --help

See the publisher guide for more details.

Other commands
bash
# Run lint, unit tests and integration testsmake 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)│   ├── 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-mcp you must login to GitHub as domdomegg, or be in a GitHub Action on domdomegg's repos
  • me.adamjones/my-cool-mcp you must prove ownership of adamjones.me via DNS or HTTP challenge

Community Projects

Check out community projects to explore notable registry-related work created by the community.

More documentation

See the documentation for more details if your question has not been answered here!

Source: README.md at commit b9c2c62

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.2LatestSep 16, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.