"Campaign Monitor" matching MCP servers:

Enables AI agents to inspect Shadow Monitor capture files locally, with tools to load bundles, find errors, search network requests, and replay user actions.

Connects AI coding assistants to Gaffer test history and coverage data to analyze project health, debug failures, and identify untested code areas. It enables tools to track test stability, cluster failures by root cause, and monitor code coverage trends across projects.

Connects AI agents to Minecraft servers via RCON to execute commands, monitor logs, and perform read-only SQLite database queries. It is specifically designed to facilitate AI-assisted plugin development, live debugging, and automated testing workflows.

Prediction stability engine for AI agents. Evaluate model stability, detect ghosts, probe any LLM for instability, monitor fleet drift. 20 tools + 1 resource. Works with Claude, Cursor, VS Code.

MCP server for VertaaUX.ai — run UX & accessibility audits, generate fixes, and monitor quality from your LLM or IDE. 38 tools covering the full audit-to-fix lifecycle across 7 UX categories.

Enables AI agents to monitor website performance by scanning sites, retrieving Core Web Vitals, detecting regressions, and receiving AI-powered optimization recommendations.

Enables interaction with Webhook.site to create, manage, and monitor endpoints for capturing HTTP requests, emails, and DNS lookups. It provides 16 tools for testing webhooks and inspecting incoming data through the Model Context Protocol.

Enables AI agents to run, monitor, and manage Cypress tests with features like test discovery, screenshot handling, and multi-browser support.

An MCP server based on Puppeteer and Chrome DevTools Protocol for advanced browser debugging, performance analysis, and memory detection. It enables users to inspect DOM elements, monitor console errors, capture screenshots, and perform heap snapshot analysis through persistent browser connections.

Enables interaction with Gremlin's reliability management APIs to monitor service dependencies, run reliability experiments, generate reliability reports, and manage chaos engineering tests through natural language queries.

A universal AI-powered testing server built on the Model Context Protocol (MCP). Allows AI agents to inspect, execute, test, monitor, debug, and report on software projects.

Enables AI agents to build, flash, and monitor ESP-IDF projects on real hardware, including serial sessions and pytest-embedded hardware tests.

Enables AI assistants to control and inspect a live Chrome browser for automated web debugging, performance analysis, and Lighthouse audits. It allows agents to capture screenshots, monitor network requests, and measure Core Web Vitals using plain-English prompts.

A Puppeteer-based server designed for remote debugging, E2E testing, and DOM inspection of frontend applications. It allows users to interact with page elements, capture screenshots, monitor network traffic, and execute JavaScript directly within a browser environment.

An MCP server for conversational FHIR testing that integrates with the Touchstone platform. It enables users to launch test executions, monitor status, and retrieve detailed results through natural language commands.

Enables Claude Code and other MCP clients to create, modify, and monitor Agentforce Grid workbooks, worksheets, and columns via the Salesforce Grid Connect API.