Clawdcursor runs on your own machine — the client starts it, so there is no endpoint to ping. 663 installs a week from npm. Last commit 1 Nov 2026.
Safe cross-OS desktop control for any AI agent - the fallback execution layer.
We read the source, 23 h 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.
postinstall: node scripts/verify-install.js || node -e "process.exit(0)" && node scripts/postinstall-native.js || node -e "process.exit(0)"
let proc = Process()
this.process = spawn(helperPath, [], {
path.join(root, 'native', 'ClawdCursor.app', 'Contents', 'MacOS', binary),
const files = fs.readdirSync(LOG_DIR)
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 clawdcursor -- npx -y clawdcursor
{
"mcpServers": {
"clawdcursor": {
"command": "npx",
"args": [
"-y",
"clawdcursor"
]
}
}
}
[mcp_servers.clawdcursor]
command = "npx"
args = ["-y", "clawdcursor"]
{
"mcpServers": {
"clawdcursor": {
"command": "npx",
"args": [
"-y",
"clawdcursor"
]
}
}
}
{
"servers": {
"clawdcursor": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"clawdcursor"
]
}
}
}
Open source device layer for AI agents: control mobile, web, TV, and desktop apps over MCP
AI-powered task execution, tickets, sprints, error debugging, and desktop control.
AI-powered task execution, tickets, sprints, error debugging, and desktop control.
The Open Context Layer for Data Agents
Runtime permission, approval, and audit layer for AI agent tool execution.
Open automation engine for AI agents. Control live browsers and desktop apps locally.
A typed, policy-controlled OS capability layer for AI agents.
Record and replay AI agent execution for debugging
Answers built from our own checks of this server.