Perf runs on your own machine — the client starts it, so there is no endpoint to ping. 29 installs a week from npm. Last commit 21 Mar 2026.
Benchmark, memory, Big O analysis for AI agents
We read the source, 19 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.
const fn = new Function(code);
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 perf -- npx -y @rog0x/mcp-perf-tools
{
"mcpServers": {
"perf": {
"args": [
"-y",
"@rog0x/mcp-perf-tools"
],
"command": "npx"
}
}
}
[mcp_servers.perf]
command = "npx"
args = ["-y", "@rog0x/mcp-perf-tools"]
{
"mcpServers": {
"perf": {
"args": [
"-y",
"@rog0x/mcp-perf-tools"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"perf": {
"args": [
"-y",
"@rog0x/mcp-perf-tools"
],
"command": "npx"
}
}
}
Hash, encode, UUID, password analysis for AI agents
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Independent, reproducible benchmark harness for agent-memory backends.
Self-evolving memory system for AI agents
Test generation, mocks, coverage analysis for AI agents
Shared debugging memory for AI coding agents
npm package search, audit, bundle analysis for AI agents
MCP adapter for Engram - organizational memory for AI agents
Answers built from our own checks of this server.