"Air France" matching MCP servers:

Zero-Config, Fully AI-Managed End-to-End Testing for all code gen platforms.

Reads a small-business website like a customer would and shows where they get stuck. Every AI answer has to quote the page, and the server checks the quote before it counts.

Enables management of TestMu AI test projects, test cases, test runs, and integration with Jira, HyperExecute, and AI insights through natural language.

Analyzes Playwright test results to provide structured QA insights, including test metrics, failure analysis, bug report drafts, and release-quality recommendations.

Checks a site for AI crawlers: which of 11 AI crawlers its robots.txt lets in, whether its llms.txt follows llmstxt.org, and what its home page says without scripts. Findings with evidence; no scores, no model calls, no telemetry.

Deterministic HVAC duct sizing for agents: size one run or a whole supply, return, exhaust, or outside-air network from terminal CFM, and grade existing round, rect, or oval ducts. Local stdio, no CAD host or API key needed.

MCP server that generates ISO/IEC/IEEE 29119-3 compliant test plan drafts from project information, providing a structured resource for the standard's test plan outline and a tool for draft creation.

Privacy-preserving authentication cookie security auditing for AI browser agents, MCP clients, and automated testing. Detects missing HttpOnly, Secure, SameSite, and other cookie protections, and returns structured security findings without exposing raw cookie values.

A licensed, locally run Playwright E2E testing MCP server for Claude Desktop and Cursor. It lets AI coding agents inspect semantic accessibility structure, validate role-based browser flows with explicit assertions, and generate reusable Playwright tests.

Enables AI agents to manage Autotest AI projects, screens, test cases, and test runs through natural language commands.

Generates comprehensive API test plans (positive, negative, and boundary/edge cases) from endpoint metadata using LLMs, and exports them as Excel files.

An MCP server that provides echo resource, tool, and prompt functionality for testing and demonstration.

Enables to interact with Jira AIO Test Case Management System, allowing retrieval of test cases, projects, folders, and search functionality.

MCP server for measuring, tracking, scoring, and improving AI agent reliability with tools for recording interactions, scoring reliability, analyzing failures, recommending improvements, generating audit reports, and checking MCP health.

Enables agents to work with Robot Framework by discovering tests and resources, drafting tests from requirements, dry-running and executing suites, and parsing output.xml results.

Enables AI clients to analyze software test results and defect records, producing explainable GO, CONDITIONAL_GO, or NO_GO release-readiness recommendations with deterministic risk scoring, failed-test retrieval, defect hotspot ranking, and regression test planning.

Enables agents and teams to manage versioned delivery work items, role-tagged handoffs, revision- and source-bound evidence, QA gate evaluation, and release-owner attestations through MCP tools.

Enables scanning text for policy and safety issues, generating test suite outlines, and checking the configuration/health of the evaluation setup.

MCP server for end-to-end QA automation: generates test scenarios, discovers Playwright locators, creates TypeScript test code, executes tests, and creates GitHub issues for failures.

MCP server for AI-powered QA analysis. It enables analyzing test failures, identifying root causes, suggesting fixes, classifying defects, detecting flaky tests, and generating test cases and bug reports.

API Tester AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables input/output policy validation via MCP, including scanning text for policy and safety issues, generating test suite outlines, and checking configuration health.

Coaches a coding agent and a human through a first successful Zeus Client app turn, covering onboarding prerequisites, live readiness, scaffolding, contract binding, and smoke tests.

An MCP server for validating AI-generated code through automated browser testing, evidence collection, and intelligent diagnostics.

Enables AI assistants to write and run mobile UI tests on Android and iOS simulators via natural language, supporting native and WebView apps without Appium.

Enables running, listing, inspecting, and comparing standardized model benchmarks through MCP.

Enables AI assistants to reflect on, critique, and continuously improve their performance using Mandoline's evaluation framework. Provides tools for creating custom evaluation metrics and scoring prompt/response pairs to measure AI assistant quality.

Enables AI assistants to scan deployed web apps by sending a flock of AI users that identify UX issues, mobile breakage, and conversion path problems, returning prioritized, fix-ready findings.

Enables AI agents to control a Teledyne LeCroy USB protocol analyzer through its automation API, supporting recording control, trace analysis, packet inspection, reports, and exports.

Enables MCP-compatible editors to orchestrate test runs, debug failures, analyze visual regressions, run accessibility audits, and manage test cases through natural language.

Enables analysis of AI agent traces to detect and fix failures using heuristic detectors, with no LLM calls required.

Enables AI coding agents such as Cursor and Claude Code to browse KaDeep projects, suites, test cases, runs, jobs and defects, run end-to-end tests, and check localization quality directly as tools. It exposes 14 tools over stdio so agents can answer questions like which smoke tests fail and why, or trigger the checkout tests themselves.

Connects MCP clients such as Claude Code, Cursor and VS Code to a hosted QA service so the assistant can start and monitor test runs on a web app, explore its pages and flows, and read the bugs those runs uncover. Access is scoped by API key permissions, letting read-only keys list projects and issues while write-enabled keys trigger or stop runs.

Enables searching, reading, creating, and updating AIO Tests test cases in Jira from any MCP client, supporting Jira Cloud and Server/Data Center with a read-only mode.

Enables MCP-compatible clients to execute Playwright-based UI and API test suites (login, inventory, checkout, API, regression) and receive structured JSON test results.

A multi-task MCP server for AI code optimization and testing that integrates with VSCode/Cursor, CLI tools, and autonomous agents. It provides tools for running tests, generating code improvements, and managing objectives across different environments.

Code Reviewer AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables AI incident-response agents to connect over MCP to a simulated service environment, receive alerts, gather diagnostic evidence, execute safe SOP actions, and verify recovery.

Enables local, air-gapped automation of Android and iOS devices and emulators, letting AI agents inspect UI hierarchies, tap, swipe, type, manage apps, capture screenshots, and pull device logs and crash reports. Bundles banking-grade safeguards such as automatic PII and secret redaction, PCI-DSS-style log sanitization, and configurable screenshot-blocking DLP policies.

Enables deterministic detection of pytest config-leakage that corrupts agent-benchmark grading, returning CLEAN/CORRUPTED verdicts and corrected pytest commands.