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Perf

rog0x/mcp-perf-tools

Gives Claude five performance analysis tools for profiling code directly in conversation. The benchmark tool runs JavaScript snippets with statistical timing (p95, p99, ops/sec) and side-by-side comparisons. Memory analyze takes heap snapshots over time and uses linear regression to spot leaks. Big O estimate fits your timing data against common complexity classes and shows an ASCII growth curve. Bundle analyze inspects JavaScript bundles for size, compression, and tree-shaking opportunities. Load test hits HTTP endpoints with configurable concurrency and reports percentile latencies. Useful when you're optimizing hot paths, debugging memory issues, or need quick performance feedback without leaving the chat.

tools: 5
transport: STDIO
last updated: Mar 22, 2026

Tools

5 tools

Public tool metadata for what this MCP can expose to an agent.

benchmarkBenchmark 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.

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.

No parameter schema in public metadata yet.

memory_analyzeAnalyze 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.

Analyze 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.

No parameter schema in public metadata yet.

big_o_estimateEstimate 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.

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.

No parameter schema in public metadata yet.

bundle_analyzeAnalyze a JavaScript bundle file: raw size, gzip compressed estimate, detected module count, largest modules, and tree-shaking opportunities (side effects, duplicates).

Analyze a JavaScript bundle file: raw size, gzip compressed estimate, detected module count, largest modules, and tree-shaking opportunities (side effects, duplicates).

No parameter schema in public metadata yet.

load_testSimple 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.

Simple 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.

No parameter schema in public metadata yet.

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Readme

mcp-perf-tools

Performance analysis tools for AI agents, exposed via the Model Context Protocol (MCP).

Tools

benchmark

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 benchmark
iterations (number, default 1000) — Number of iterations
compareCode (string, optional) — Second implementation to compare
labelA / labelB (string) — Labels for comparison output

memory_analyze

Analyze 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"

big_o_estimate

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.

View the full README on GitHub

Details

Repository: github.com/rog0x/mcp-perf-tools
Category: AI & LLM Tools
Package: @rog0x/mcp-perf-tools
Transport: STDIO
Registry: MCP registry, active

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