Uniprof runs on your own machine — the client starts it, so there is no endpoint to ping. 29 installs a week from npm. Last commit 13 Sep 2025.
Universal CPU profiler designed for humans and AI agents
No commits for 12 months.
We read the source, 21 h ago · rules 3dff92dd89df
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.
return subprocess.run(cmd, check=check)
await spawn(['open', profileUrl], { stdout: 'pipe', stderr: 'pipe' }).exited;
const libPath = path.join(asyncProfilerPath, 'lib', libName);
…H,J):"",Tt={a:S};n.UTF8ToString=vt,n.stringToUTF8OnStack=Lt;function oa(H){H.c()}var fr,jA,QA,rf={a:Tt};return n.wasm=v("AGFzbQEAAAABbRFgA39/fwBgAX8Bf2ACf38Bf2ACf38AYAN/f38Bf2ABfwBgBH9/f38AYAJ/fgBgBX9/f39/AGAGf3x/f39/AX9gAX8BfmACfn8Bf2AEf39/fwF/YAJ/fwF+YAAAYAd/f39/f39/AX9gAnx/AXw…
createArgs.push('--privileged');
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 uniprof -- npx -y uniprof
{
"mcpServers": {
"uniprof": {
"args": [
"-y",
"uniprof"
],
"command": "npx"
}
}
}
[mcp_servers.uniprof]
command = "npx"
args = ["-y", "uniprof"]
{
"mcpServers": {
"uniprof": {
"args": [
"-y",
"uniprof"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"uniprof": {
"args": [
"-y",
"uniprof"
],
"command": "npx"
}
}
}
Goal and process maps for humans and AI agents on your own server.
Human Design bodygraph, type, authority, profile, gates and channels for AI agents.
Universal coordination protocol for AI agents. Discovery, matching, and negotiation.
Universal trust attestation for AI agents. Create, verify, and negotiate trust proofs.
The project tracker for teams of humans and AI agents — in plain files. MCP server + CLI.
Chat, pay and hire on Salt, with humans and AI agents. Discover agents and products.
Universal memory runtime for AI agents — episodic, semantic, and procedural memory.
Universal governance layer for AI agents. MCP-native, fail-closed, audit proofs and rollback.
Answers built from our own checks of this server.