Groundrule runs on your own machine — the client starts it, so there is no endpoint to ping. 878 installs a week from npm. Last commit 30 Oct 2026.
Your repository's engineering standards for coding agents: rules per file, CI check, rule proposals.
We read the source, 2 d ago · rules 995398eba69f
Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.
- "doas *"
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 child = spawn(command as string, args as string[], { stdio: "ignore", detached: true });
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch Groundrule and you get told the day something new turns up.
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 groundrule -- npx -y @groundrule/cli
{
"mcpServers": {
"groundrule": {
"command": "npx",
"args": [
"-y",
"@groundrule/cli"
]
}
}
}
[mcp_servers.groundrule]
command = "npx"
args = ["-y", "@groundrule/cli"]
{
"mcpServers": {
"groundrule": {
"command": "npx",
"args": [
"-y",
"@groundrule/cli"
]
}
}
}
{
"servers": {
"groundrule": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@groundrule/cli"
]
}
}
}
Persistent engineering memory for AI coding agents. Survives refactors, knows when it is stale.
Deterministic repository change-impact analysis for engineers and coding agents.
Local-first engineering cognition for AI coding agents — persistent memory over your codebase.
Shared project memory for coding agents: decisions, lessons, guardrails and tasks per repository.
Code graph and project memory for coding agents, cited to exact files and lines, on your machine.
Finds real, maintained open-source repos that fit your project. MCP grounding for coding agents.
Scan a GitHub repository for vulnerabilities, with proof for every finding, from your coding agent.
Memory, docs, and repo context layer for engineering agents.
Answers built from our own checks of this server.