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Perf logo
Health: ActiveRecent health check succeeded.Last checked 9/8/2026, 12:18:00 PM

Perf

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Benchmark, memory, Big O analysis for AI agents

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "perf": {
      "url": "https://modelcontextprotocol.io/"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

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) β€” JavaScript code to benchmark
  • iterations (number, default 1000) β€” Number of iterations
  • compareCode (string, optional) β€” Second implementation to compare
  • labelA / labelB (string) β€” 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 β€” "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.

Parameters:

  • inputSizes (number[]) β€” Array of input sizes
  • executionTimesMs (number[]) β€” Corresponding execution times in ms

bundle_analyze

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

Parameters:

  • filePath (string) β€” Absolute path to the bundle file

load_test

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.

Parameters:

  • url (string) β€” Target URL
  • totalRequests (number, default 100) β€” Total requests to send
  • concurrency (number, default 10) β€” Concurrent request count
  • method (string, default "GET") β€” HTTP method
  • headers (object, optional) β€” HTTP headers
  • body (string, optional) β€” Request body
  • timeoutMs (number, default 30000) β€” Request timeout

Setup

Terminal
npm install
npm run build

Usage with Claude Desktop

Add to your claude_desktop_config.json:

config.json
{
  "mcpServers": {
    "perf-tools": {
      "command": "node",
      "args": ["D:/products/mcp-servers/mcp-perf-tools/dist/index.js"]
    }
  }
}

License

MIT

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Perf

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "perf": { "command": "npx", "args": ["-y", "perf"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSSE (Remote)
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
33Quality signal: Emerging Β· 33/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools14/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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