"browser use" matching MCP connectors:
GET /v1/connectors ā MCP directory API referenceMatching Connector Tools:
Load testing and synthetic monitoring platform: test with Playwright, Browser Bot, or Protocol Bots.
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
Privacy-first, cookieless web analytics hosted in the EU. Ask about visitors, pages, traffic sources, countries, goals, funnels and live traffic for your sites, and set up sites, goals and funnels. 25 tools. OAuth 2.1 sign-in in the browser, or an API key as a Bearer token.
Monitor public pages with source URLs, timestamps, hashes, text diffs and signed webhooks. One daily monitor is free for 30 days; the $9, 30-day pass adds five monitors at a 15-minute minimum interval, 15,000 checks and change history. No auto-renewal. Public connection supports preflight and offer tools; obtain a key on the website (POST /v1/keys/free for the free tier) and pass api_key to monitor tools. Public text/HTML/JSON/XML up to 3 MB; no browser rendering or login bypass. Hosted commercial service; engine and source remain private.
Check whether a URL can be opened. No browser is launched.
US ISO Grid MCP ā real-time electricity generation, fuel mix, demand,
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: šµļø Run advanced Root-cause analysis over recent logs š¦ List and describe Pipelines š¤ Export and filter Logs with powerful query syntax
Live browser debugging for AI assistants ā DOM, console, network via MCP.
List datasets, schemas, run APL queries, and use prompts for exploration, anomalies, and monitoring.
Load & browser performance testing ā drive MaxoPerf from your AI agent with your API key.
Data + AI observability ā monitor and troubleshoot production-grade agents and the context they use.
Analytics your AI agent can actually use. Track, experiment, and optimize via MCP.
