Drive OctoPerf load testing from any AI agent: import, edit, validate, run scenarios, read metrics.
Drive OctoPerf load testing from any AI agent: import, edit, validate, run scenarios, read metrics.
The first MCP call opens a browser for OAuth login on api.octoperf.com. Revoke at any time from Account → Connected applications on OctoPerf.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| octoperf-auto-correlation | "correlate the VU", "fix replay errors", "401/403 on replay" |
| octoperf-validation-triage | "the validation is red", "lots of errors after import" |
| octoperf-scenario-diagnosis | "the load test failed", "why are response times so high" |
| octoperf-bench-reports | "what's the right tool for this widget", widget metric questions |
| octoperf-export-bench-report-pdf | "export the report as PDF", "print the bench report", "share a PDF" |
| octoperf-real-browser-probe | "EUM probe", "Playwright probe", "TruClient equivalent" |
| octoperf-scheduling | "schedule the scenario", "run every weekday at 8am" |
| octoperf-async-polling | invoked automatically by any skill that has to poll a taskId result |
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
The original Chromium automation reference server — simple, screenshot-driven browser control.
MCP server that lets AI agents drive Electron apps — click, type, drag, screenshot, eval JS in the renderer or main process, capture console logs
Playwright wrapper for MCP (Model Context Protocol). This server enables LLM-powered clients to control a browser for automation tasks.
Free browser-based calculators and analyzers for cloud cost, DevOps, security, and data governance.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript