State Memory MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 234 installs a week from npm. Last commit 3 Oct 2026.
Persistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.
We read the source, 4 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const fullPath = path.join(targetDir, fileName);
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add state-memory-mcp -- npx -y @putervision/state-memory-mcp
{
"mcpServers": {
"state-memory-mcp": {
"command": "npx",
"args": [
"-y",
"@putervision/state-memory-mcp"
]
}
}
}
[mcp_servers.state-memory-mcp]
command = "npx"
args = ["-y", "@putervision/state-memory-mcp"]
{
"mcpServers": {
"state-memory-mcp": {
"command": "npx",
"args": [
"-y",
"@putervision/state-memory-mcp"
]
}
}
}
{
"servers": {
"state-memory-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@putervision/state-memory-mcp"
]
}
}
}
Persistent knowledge graph and MCP server for AI workflows with git-tracked project context.
Persistent knowledge graph and MCP server for AI workflows with git-tracked project context.
MCP server for GitScrum — manage tasks, sprints, time tracking, and client workflows via AI
MCP server for GitScrum — manage tasks, sprints, time tracking, and client workflows via AI
Decision arbitration, action routing, workflow control, deployment remediation, persistent memory.
Workflow planner, wave dispatcher, persistent swarm memory, and deploy preflight for AI agents.
Dispatch coding tasks to local headless agents with persistent history and workflows.
Persistent understanding via workflow prompts, typed updates, graph-native code, and supersession.
Answers built from our own checks of this server.