"Information about automated testing" matching MCP servers:

MCP server that enables AI agents to programmatically run tests, query results, and receive intelligent recommendations about test execution strategy.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Enables submitting FMF-based test requests to Testing Farm and listing available OS composes for testing.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Analyzes Testing Farm jobs, checks job status, and investigates failures with detailed error information.

A multi-language testing automation server that enables AI assistants to discover, plan, and execute tests across six major programming languages. It provides comprehensive tools for repository scanning, automated test execution, and detailed coverage reporting.

Enables automated evaluation of e-commerce advertising content against compliance policies, detecting prohibited claims and trademarks through an MCP-compatible interface.

Enables natural-language chat-driven API testing, letting users upload API specs, run deterministic pytest checks against live targets, inspect results, create defects, and view failure trends.

Provides tools to search Splunk logs, inject test data, and send triage emails, enabling AI-driven incident investigation.

A full-stack API automation testing server that parses OpenAPI/Swagger/Postman/HAR specs, generates comprehensive test scenarios and executable code, and provides AI-powered review and auto-fix.

Enables MCP-compatible clients to discover API endpoints from OpenAPI/Swagger specs, send HTTP requests, validate responses, and analyze status codes for automated API testing.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

Enables autonomous financial agents to pool corporate treasury cash, rebalance liquidity, and optimize yield sweeps while enforcing double-entry ledger integrity, HMAC-SHA256 signature verification, and fraud-detection safety buffers that prevent overdrafts. Runs on pure Python standard library and plugs into MCP clients such as Claude Desktop, Cursor, and Windsurf.

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 autonomous financial agents and payment webhooks to pool corporate treasury cash, rebalance liquidity automatically with yield-optimized sweeps and zero-overdraft safety buffers, and record every transaction in a balanced double-entry ledger with HMAC-SHA256 signature verification and sliding-window fraud detection. Runs as a zero-dependency Python MCP server that plugs into Claude Desktop, Cursor, or any MCP-compliant client.

Enables automated adversarial safety probing and jailbreak fuzzing of AI systems through MCP, returning structured execution telemetry and output dossiers.

Enables automated GDPR/CCPA data subject access request compliance by exporting data subject profiles through OneTrust. Provides deterministic, zero-dependency MCP integration for AI agents and enterprise pipelines.

Enables AI agents to test Telegram bots by driving the official Telegram Web client in a real browser, allowing visual verification of bot responses, inline keyboards, and Mini Apps.

Exposes browser-testing capabilities—including navigation, clicking, typing, form submission, verification, and screenshots—so clients can discover the supported Playwright actions. It also builds structured testing requirements from a supplied website and task description, ready for plan generation and execution.

Enables scanning e-commerce advertising content to detect prohibited claims and trademark violations, returning deterministic compliance evaluations for autonomous agents.