io.github.timbassler88/snapstate
Persistent state for AI agent workflows. Save, resume, and replay multi-step workflows.
MCP server · by timbassler88
About
io.github.timbassler88/snapstate is an MCP server published by timbassler88. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-13.
What it asks for
- Runs on your machine
- Secrets: 1
- Settings: 2
Requires: SNAPSTATE_API_KEY (secret), SNAPSTATE_API_URL
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Package
npm snapstate-sdk (snapstate-sdk on npm)
- npm downloads/week: 18 (2026-10-13)
- npm downloads/month: 108 (2026-10-13)
- Latest version on npm: 1.0.2, published 2026-04-13
No known vulnerabilities in OSV for 1.0.2 (checked 2026-10-13)
npm facts come from the public npm registry (registry.npmjs.org, api.npmjs.org). Each figure is the registry's own and is never added to another. A registry that publishes no figure shows none: no number is not zero. Vulnerability records come from OSV.dev (CC BY 4.0) and concern the declared version only; a listing that declares no version gets no answer. We do not scan code.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: npm package
Built from what Official MCP Registry declares.
claude mcp add --env "SNAPSTATE_API_KEY=<YOUR_SNAPSTATE_API_KEY>" --env "SNAPSTATE_API_URL=<YOUR_SNAPSTATE_API_URL>" --transport stdio snapstate -- npx -y snapstate-sdk[mcp_servers.snapstate]
command = "npx"
args = ["-y", "snapstate-sdk"]
[mcp_servers.snapstate.env]
SNAPSTATE_API_KEY = "<YOUR_SNAPSTATE_API_KEY>"
SNAPSTATE_API_URL = "<YOUR_SNAPSTATE_API_URL>"{
"mcpServers": {
"snapstate": {
"command": "npx",
"args": [
"-y",
"snapstate-sdk"
],
"env": {
"SNAPSTATE_API_KEY": "<YOUR_SNAPSTATE_API_KEY>",
"SNAPSTATE_API_URL": "<YOUR_SNAPSTATE_API_URL>"
}
}
}
}Replace the values in angle brackets with your own. We show the names of the settings, never values.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 1.0.2 | Downloads/month (npm): 108 Downloads/week (npm): 18 Forks (GitHub): 0 Stars (GitHub): 7 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
mcp-state-sidecar io.github.askadvaith/mcp-state-sidecar
MCP State Sidecar: durable state persistence for multi-agent AI workflows
-
statecli io.github.charo360/statecli
State replay and self-debugging for AI agents. Track, replay, undo, checkpoint.
-
Shared versioned state for multi-agent AI workflows
-
ateam-mcp io.github.ariekogan/ateam-mcp
Build, validate, and deploy multi-agent AI solutions from any AI environment.
-
stateark io.github.Askrion/stateark
Local-first version control for AI work. Savepoint and resume your project state across chats.
-
agent-memory io.github.theprodsde/agent-memory
Persistent agent memory with a decision layer: replay, restore, verify, or none — explainable.
-
agentos io.github.pdaxt/agentos
AI agent fleet orchestration runtime. Spawn, coordinate, monitor autonomous agents.
-
memory-pulse io.github.t-crew/memory-pulse
Give any agent self-improving memory you can trust in production. Built-in memory security.
-
vnsh io.github.raullenchai/vnsh
Portable workspaces for AI agents: one encrypted link any agent can read and write
-
OrgX MCP — Organizational Continuity for AI Agents
Make AI work resumable, reviewable, and provable across agents.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
agent-tasks io.github.keshrath/agent-tasks
Pipeline task management for AI agents - stages, dependencies, artifacts, claiming
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
A Claude Code plugin that drives agents through YAML-defined state machines. Define workflows as YAML with states, transitions, and prompts. The engine tracks state, enforces…
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
Has a listing on Claude Code: claude-plugins-official (5)
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore, connecting tools, memory, policies, evaluation, debugging, and production…
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
Has a listing on Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Comprehensive skill for the entire Temporal lifecycle — developing applications, using the Temporal CLI, running and managing Temporal Server, and working with Temporal Cloud.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Cloudflare platform plugin with curated skills for Workers, Wrangler, and Agents SDK plus the official Cloudflare API MCP server.
Has a listing on Community GitHub marketplaces (5)
-
al-buddy-memory io.github.flytomoon/al-buddy-memory
Governed local memory for AI agents: facts are retired, not overwritten, and every call is audited.
-
agent-tasks io.github.keshrath/agent-tasks
Pipeline task management for AI agents - stages, dependencies, artifacts, claiming
-
forkflux-mcp io.github.forkflux/forkflux-mcp
Self-hosted multi-agent collaboration and audit layer for AI-assisted engineering teams
-
vibsync com.vibsync/vibsync
One shared brain for your AI coding agents: team memory, agent Q&A, tasks, and file claims.
-
termada io.github.Islomzoda/termada
Persistent, policy-controlled missions for AI agents operating local and SSH environments.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Three-agent workflow for orchestrated software delivery with an orchestrator plus implementation and QA subagents.
-
foundry-hosted-agent-copilotkit
Build CopilotKit + AG-UI web apps on Microsoft Foundry hosted agents (Microsoft Agent Framework): wiring, native Foundry primitives, human-in-the-loop approvals, azd deploy, and…
-
Skills and interactive Copilot canvas for designing, configuring, testing and deploying agents to Microsoft Foundry.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
Has a listing on Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
Has a listing on Docker MCP Catalog (5)
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
testkube-mcp io.github.kubeshop/testkube-mcp
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
mcp-server-couchbase io.github.Couchbase-Ecosystem/mcp-server-couchbase
Couchbase Model Context Protocol Server to interact with Couchbase clusters
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
Has a listing on Official MCP Registry (5)
-
mcp-state-sidecar io.github.askadvaith/mcp-state-sidecar
MCP State Sidecar: durable state persistence for multi-agent AI workflows
-
statecli io.github.charo360/statecli
State replay and self-debugging for AI agents. Track, replay, undo, checkpoint.
-
Shared versioned state for multi-agent AI workflows
-
ateam-mcp io.github.ariekogan/ateam-mcp
Build, validate, and deploy multi-agent AI solutions from any AI environment.
-
stateark io.github.Askrion/stateark
Local-first version control for AI work. Savepoint and resume your project state across chats.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.