Benchmark, memory, Big O analysis for AI agents
Performance analysis tools for AI agents, exposed via the Model Context Protocol (MCP).
Benchmark JavaScript code execution. Run a snippet N times and measure min/max/avg/median/p95/p99 latency and operations per second. Optionally compare two implementations side by side.
Parameters:
code (string) — JavaScript code to benchmarkiterations (number, default 1000) — Number of iterationscompareCode (string, optional) — Second implementation to comparelabelA / labelB (string) — Labels for comparison outputAnalyze Node.js memory usage: heap used/total, RSS, external memory, and array buffers. Takes snapshots over time and uses linear regression to detect trends and potential memory leaks.
Parameters:
action — "snapshot" | "analyze" | "clear"Estimate Big O complexity from empirical timing data. Fits measurements against O(1), O(log n), O(n), O(n log n), O(n^2), O(n^3), and O(2^n) using R-squared scoring. Includes an ASCII growth curve visualization.
Parameters:
inputSizes (number[]) — Array of input sizesexecutionTimesMs (number[]) — Corresponding execution times in msAnalyze a JavaScript bundle file: raw size, gzip compressed estimate, detected module count, largest modules, and tree-shaking opportunities (side effects, duplicates).
Parameters:
filePath (string) — Absolute path to the bundle fileSimple HTTP load tester. Sends N requests at a given concurrency level and reports response time percentiles, error rate, throughput (req/sec), and status code distribution.
Parameters:
url (string) — Target URLtotalRequests (number, default 100) — Total requests to sendconcurrency (number, default 10) — Concurrent request countmethod (string, default "GET") — HTTP methodheaders (object, optional) — HTTP headersbody (string, optional) — Request bodytimeoutMs (number, default 30000) — Request timeoutnpm install
npm run buildAdd to your claude_desktop_config.json:
{
"mcpServers": {
"perf-tools": {
"command": "node",
"args": ["D:/products/mcp-servers/mcp-perf-tools/dist/index.js"]
}
}
}MIT