Debugg AI MCP

BrowserStack MCP server

Unleashes LLM-powered agents to autonomously execute and debug web apps directly in your code editor, with features like webapp navigation, network traffic capture, and console error collection.

A Model Context Protocol server for Hackle API providing tools and resources for querying A/B Test data.

mcp server to interact with the octomind plattform. octomind provides a create, run & fix solutions for e2e web testing, see https://octomind.dev

AI-optimized Vitest interface that provides structured test output, visual debugging context, and intelligent coverage analysis for more effective AI assistance with testing.

Enables comprehensive security vulnerability scanning and code quality analysis for Python applications. Provides detailed reports with scoring, actionable suggestions, and comparison tracking specifically designed for backend developers working with frameworks like Django, Flask, and FastAPI.

Enables comprehensive UI/UX development workflows through integrated tools for component development with Storybook, Tailwind CSS styling, Framer Motion/GSAP animations, Playwright testing, and automated design system generation. Provides end-to-end automation for visual regression testing, accessibility compliance, and UX optimization analysis.

Mobile automation suite of tools including an MCP and libraries for test authoring & execution. Android first, iOS support coming.

A Node.js-based frontend security audit tool that performs comprehensive dependency security audits for both local projects and remote repositories. Generates detailed Markdown reports with vulnerability detection, risk assessment, and fix recommendations.

Enables interaction with iOS simulators by providing tools to inspect UI elements, control UI interactions, and manage simulators through natural language commands.

Provides intelligent CSS/JS feature compatibility checking with configurable browser targets, polyfill support, and smart project scanning. Enables developers to automatically detect browser compatibility issues and get actionable remediation steps with build tool configurations.

A Model Context Protocol server that enables execution of JMeter performance tests through AI assistants and MCP-compatible clients like Claude, Cursor, and Windsurf.

A server that allows using natural language to automate test flows with Playwright, leveraging MidScene's AI agent capabilities to interact with web elements and perform assertions.

A Model Context Protocol server that enables AI-driven automation and testing of Scenic Elixir applications through a TCP connection.

Provides accessibility testing capabilities through CLI, helping identify accessibility issues in web applications using axe-core and Puppeteer.

Primarily to be used as a template for developing MCP servers with FastMCP in Python, PyMCP is somewhat inspired by the official everything MCP server in Typescript.

A Model Context Protocol server that enables AI assistants to build and test Xcode projects directly through a standardized interface, with capabilities for running tests, monitoring progress, and accessing logs in real-time.

A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.

Enables AI agents to perform comprehensive accessibility audits on websites using Playwright and axe-core against WCAG standards. Provides detailed compliance reports with violation summaries and remediation guidance across multiple browsers.

A Model Context Protocol server providing security vulnerability intelligence tools including CVE lookup, EPSS scoring, CVSS calculation, exploit detection, and Python package vulnerability checking.

A Model Context Protocol server that connects Flutter apps with AI coding assistants like Cursor, Claude, and Cline, enabling AI-powered analysis of widget trees, navigation, and layout issues.

A Model Context Protocol server that enhances AI-generated code quality through comprehensive analysis across 10 critical dimensions, helping identify issues before they become problems.

Enterprise-grade code intelligence platform providing AI-powered code analysis, semantic search, security scanning, and automated refactoring capabilities. Integrates with local AI models for zero-cost operations while delivering comprehensive development workflow automation.

Playwright MCP server enables AI-driven Playwright test generation by allowing interaction with web pages and element inspection. Integrated with IDEs like Cursor, it provides real-time context to enhance test accuracy and efficiency.

An MCP server that enables running Postman collections using Newman, allowing LLMs to execute API tests and get detailed results through a standardized interface.

Provides seamless access to the Fake Store API for AI assistants with 18 CRUD tools for managing e-commerce data including products, carts, and users. Perfect for e-commerce demos, testing, and learning MCP development with zero configuration required.

MCP Server for running Bruno Collections

Enables AI agents to capture screenshots from Android devices and emulators, and manage connected devices for UI analysis and testing. Supports device listing, screenshot capture, and integrates with Claude Desktop, Gemini CLI, and GitHub Copilot.

A Model Context Protocol (MCP) service that enables integration with Mantis Bug Tracker, allowing users to query and analyze bug tracking data through natural language commands.

Enables Claude to perform thorough code reviews by integrating with Codex and Gemini CLIs to provide senior-level feedback on code quality, security, performance, and best practices. Supports reviewing code snippets, individual files, or entire directories with automatic detection of available review tools.

A server that converts Allure test reports into LLM-friendly formats, enabling AI models to better analyze test results and provide insights about test failures and potential fixes.

Allows AI agents to control web browser sessions via Selenium WebDriver, enabling web automation tasks like scraping, testing, and form filling through the Model Context Protocol.

Provides AI assistants with instant access to TypeScript type definitions from your project dependencies. Enables generation of complete, type-safe mocks and test data by automatically discovering and exposing interface structures from node_modules.

A Model Context Protocol (MCP) server that provides a simple sleep/wait tool, useful for adding delays between operations such as waiting between API calls or testing eventually consistent systems.

An MCP server that reviews UI edit requests by comparing before and after screenshots, providing visual feedback on whether changes satisfy the user's requirements.

A Model Context Protocol (MCP) server implementation that allows AI assistants to run k6 load tests through natural language commands, supporting custom test durations and virtual users.

Enables web scraping, React app testing, and React Native web app inspection using Playwright with multi-browser support. Provides backward compatibility with regular websites while offering enhanced features for React applications including mobile viewport emulation and component analysis.

A server that integrates Locust load testing capabilities with AI-powered development environments, allowing users to run performance tests through natural language commands.

A Model Context Protocol server that allows AI assistants to execute and manage JMeter performance tests through natural language commands.

Enables comprehensive analysis of JavaScript/TypeScript project testing setups by detecting frameworks like Jest, Vitest, and Cypress, analyzing test coverage metrics, and generating actionable recommendations for improving test quality. Provides detailed insights into test structure, dependencies, and coverage thresholds with visual feedback.

QA Sphere MCP server that enables Large Language Models to interact directly with test management system test cases, supporting AI-powered development workflows and test case discovery.

An MCP (Model Context Protocol) server for performing accessibility audits on webpages using axe-core. Use the results in an agentic loop with your favorite AI assistants (Cline/Cursor/GH Copilot) and let them fix a11y issues for you!

MCP Server For Garak LLM Vulnerability Scanner https://github.com/EdenYavin/Garak-MCP/blob/main/README.md

A Model Context Protocol server that enables automated end-to-end testing with LLMs using Playwright's accessibility tree rather than pixel-based inputs.

A Model Context Protocol server that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages, take screenshots, generate test code, scrape web content, and execute JavaScript in real browser environments.

A simple MCP (Multimodal Conversational Plugin) server based on Joern that provides code review and security analysis capabilities through natural language interfaces.

Enables AI assistants to capture screenshots of web pages using automated browser sessions. Supports full-page and element-specific screenshots, device simulation, and JavaScript execution for comprehensive web testing and monitoring.

A comprehensive development toolkit with 23 tools covering code quality analysis, development efficiency, and project management. Enables AI-assisted code review, test generation, performance analysis, SQL generation, UI component creation, and automated project documentation.

Facilitates unified execution and result parsing for various testing frameworks, including Bats, Pytest, Flutter, Jest, and Go, through a Model Context Protocol interface.

A lightweight, configurable server that fetches coding guidelines, security rules, and validation patterns from external sources to help development teams maintain code quality standards in WordPress projects.

Enables comprehensive JavaScript code analysis and debugging using ESLint and custom pattern matching. Identifies syntax errors, potential bugs, code quality issues, and provides actionable fix suggestions for single files or entire projects.

Enables automated web accessibility scans for WCAG compliance using Playwright and Axe-core, providing visual and JSON reports with remediation guidance.

An MCP server that enables LLMs to perform web accessibility testing against WCAG standards using Deque Axe-core API and Puppeteer.

A Model Context Protocol server that enables generating and managing Robot Framework test automation with SeleniumLibrary, including test case generation, page object models, and advanced web testing capabilities.

A Model Context Protocol server that exposes project-specific development tools (tests, linters, typecheckers) to coding assistants through a simple YAML configuration, eliminating the need for manual command approval.

A Model Context Protocol server that enables building Android projects and running tests directly in Visual Studio Code through extensions like Cline or Roo Code.

Integration between Model Context Protocol (MCP) and Facebook's iOS Development Bridge (idb), enabling automated iOS device management and test execution through natural language.

An MCP server that visually reviews UI edit requests by comparing screenshots before and after edits, ensuring changes satisfy user requests.

Enables intelligent code analysis and debugging through the Perplexity AI's API, offering detailed error analysis, pattern detection, and comprehensive solutions, with integration support for the Claude desktop client.

espresso-mcp

Enables security auditing, penetration testing, and compliance validation with tools like Semgrep, Trivy, Gitleaks, and OWASP ZAP. Features strict project boundary enforcement and supports OWASP, CIS, and NIST compliance frameworks.

A lightweight Python-based microservice that provides simple echo functionality, receiving messages and returning them back to the client for diagnostic and testing purposes within the MCP framework.

The server can be utilized for secure development by listing all packages' CVEs, their affected versions and their fix versions.

Enables AI assistants to validate LPC code and examine compiled bytecode using FluffOS driver tools, providing real driver-level compilation checking and performance analysis for MUD development.

A Model Context Protocol server that allows interaction with TestRail's core entities (projects, cases, runs, results, datasets) through a standardized protocol compatible with MCP clients like Claude Desktop.

A Model Context Protocol (MCP) server that enables mobile app automation using Appium, supporting various device interactions, element operations, and app management through a standardized protocol.

A Model Context Protocol server that enables executing and interacting with JMeter tests through MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

Allows AI assistants such as Cursor/Cline/GitHub Copilot to use Google's lighthouse tool to measure perf metrics for your webpage. You can then run an agentic loop and get the assistants to optimize those metrics!

Provides comprehensive website validation across performance, accessibility, SEO, and security dimensions using multiple testing services including WebPageTest, Google PageSpeed Insights, Axe DevTools, Mozilla Observatory, and SSL Labs. Enables automated website health assessments through browser automation and API integrations.

A comprehensive MCP server that provides powerful web automation tools using Playwright, enabling web scraping, testing, and browser interaction through natural language commands.

A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.

Enables checking npm packages for known security vulnerabilities using the OSV API before installation. Supports both single package checks and bulk vulnerability scanning for multiple packages at once.

An MCP server that executes tox commands to run Python tests within a project using pytest, allowing users to run all tests or specific test groups, files, cases, or directories.

Enables capturing screenshots from Android devices over WiFi for UI debugging and visual inspection during app development.

Provides programmatic access to BlazeMeter's performance testing platform through MCP tools. Enables users to retrieve test runs, analyze performance data, view error reports, and manage testing resources via natural language interactions.

Enables enterprise-grade authentication management with secure credential handling and support for multi-protocol auth, complete with tools for analyzing, setting up, and testing authentication systems.

A TypeScript-based MCP server that provides integration with the Qase test management platform, allowing you to manage projects, test cases, runs, results, plans, suites, and shared steps.

A server that enables fetching and filtering SonarCloud issues related to pull requests, making it easier to identify and fix code quality problems.

Provides tools for frontend testing including code analysis, test generation, test execution, and React component testing for Jest and Cypress frameworks.

Enables direct integration with Zentao bug tracking systems through Cursor. Supports authentication, bug retrieval, searching, and listing operations for comprehensive bug management through natural language.

A simple server implementing the Model Context Protocol (MCP) that echoes messages back, designed for testing MCP clients.

Enables AI assistants to evaluate task complexity, verify package installation safety, and log complex reasoning processes. Provides structured assessment of multi-step tasks and environment validation for safer code execution workflows.

Enables integration with Xray Cloud APIs for comprehensive test management including creating and managing test cases, test executions, test plans, and test sets. Supports CI/CD automation and test result tracking through GraphQL APIs.

An MCP server that automatically generates TypeScript Page Object classes and comprehensive Cypress test suites for any web page, supporting element interactions, workflow tests, and both positive and negative testing scenarios.

An automated penetration testing framework that enables intelligent security assessments through reconnaissance, vulnerability scanning, and controlled exploitation. Features AI-driven workflow management with comprehensive reporting for authorized security testing.

Enables control of Android devices via ADB for automation and testing. Supports app management, screen capture, UI analysis, and input simulation through natural language commands.

Enables AI assistants to perform comprehensive code reviews of local uncommitted changes by combining git diffs with static analysis from linters like ESLint and TypeScript. Returns structured JSON feedback with findings, suggestions, and quality assessments powered by Google's Gemini CLI.

Enables AI agents to interact with Android devices through UI manipulation, screen capture, touch gestures, text input, and app management via ADB. Provides comprehensive mobile automation capabilities including element detection, navigation, and application control for Android device testing and interaction.

Enables checking for broken links on web pages and entire websites through natural language commands. Provides detailed reports including HTTP status codes and supports options like excluding external links and respecting robots.txt.

XcodeBuildMCP

Enables comprehensive interaction with the BugBug test automation platform through its API. Supports running tests, monitoring execution status, managing test suites, retrieving results and screenshots, and performing batch operations through natural language commands.

MCP server that enables browser automation and web testing on ARM64 devices like Raspberry Pi, allowing users to navigate websites, take screenshots, execute JavaScript, and perform UI testing via Claude.

Firefox browser automation via WebDriver BiDi for testing, scraping, and browser control. Supports snapshot/UID-based interactions, network monitoring, console capture, and screenshots.

Integrates with Zebrunner Test Case Management to help QA teams manage test cases, test suites, and test execution data through AI assistants. Features intelligent validation, automated test code generation, and comprehensive reporting capabilities.

Processes test scenarios from user prompts to generate complete WDIO test suites with intelligent file management that analyzes existing files to determine whether to update them or create new ones.

Enables out-of-band interaction testing by integrating ProjectDiscovery's interactsh service as an MCP server. Allows AI agents to create callback domains, send probes, and capture DNS/HTTP interactions for security testing and verification workflows.

Provides web accessibility analysis and color blindness simulation using axe-core and Puppeteer, enabling detailed accessibility checks and visual simulations based on WCAG guidelines.

Enables comprehensive GitHub PR reviews through Cursor's AI by fetching PR diffs, running static analysis tools (ESLint, Prettier, TypeScript, Semgrep), executing tests, and generating detailed code review reports with inline comments.

Provides instant GDScript syntax validation and diagnostics by bridging Godot's native Language Server Protocol to MCP clients. Enables real-time syntax checking in AI assistants without requiring custom plugins or context switching to the Godot editor.

Provides comprehensive React Native development assistance with expert-level automated code remediation, security vulnerability fixes, performance optimization, and production-ready code generation. Includes testing suite generation, dependency management, and accessibility compliance tools.

Enables automated access to LoadRunner Cloud APIs for retrieving performance test data, managing projects, and collecting test results. Supports integration with AI clients for building performance engineering workflows and dashboards.

MCP server for Xcode build automation and log parsing that opens Xcode projects, triggers builds directly in Xcode, and parses build logs to extract errors and warnings.

Trivy

Enables access to Codacy's code quality platform through natural language, providing repository management, security analysis, pull request reviews, and local CLI-based code analysis. Supports comprehensive code quality monitoring including issues, coverage, security vulnerabilities, and technical debt assessment across organizations and repositories.

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.

Currents

A Model Context Protocol server that enables AI assistants like Cursor to interact with Testomatio test management platform, allowing users to query test cases, runs, and plans through natural language.

fluidattacks-mcp

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.

Enables AI assistants to interact with Sauce Labs testing platform through natural language, providing access to device cloud management, test job analysis, build monitoring, and testing infrastructure insights. Supports both Virtual Device Cloud (VDC) and Real Device Cloud (RDC) with comprehensive test analytics and team collaboration features.

Enables secure interaction with Salesforce orgs through LLMs, providing tools for managing orgs, querying data, deploying metadata, running tests, and performing code analysis. Features granular access control and uses encrypted auth files to avoid exposing secrets in plain text.

Maestro is the simplest and most effective UI testing framework for Mobile and Web. Maestro MCP allows you to control emulators, interact with apps, write and automatically debug UI tests on Claude Code, Cursor or Windsurf.

Provides AI assistants with advanced frontend debugging capabilities through 36 specialized tools for inspecting React/Vue/Angular/Svelte applications. Uses Playwright browser automation and source map intelligence to analyze components, network requests, bundle optimization, and resolve production errors.

Enables control system analysis and testing through PID controller evaluation against second-order plants. Provides regression testing utilities with step response analysis, gust rejection metrics, and settling time calculations for control engineering applications.

A TypeScript-based test implementation for the Model Context Protocol (MCP) with example configurations and Jest test cases. Provides a development foundation for building and testing MCP server functionality.

Enables AI coding assistants to control and inspect a live Chrome browser through Chrome DevTools. Provides browser automation, performance analysis, debugging capabilities, and network request monitoring.

Enables AI coding assistants to control and inspect a live Chrome browser through DevTools for automated testing, performance analysis, debugging, and web scraping. Provides reliable browser automation using Puppeteer with comprehensive DevTools access.

Provides unified development tools including code analysis, debugging, refactoring, documentation, testing, and project automation through multiple LLM providers (KIMI, GLM, OpenRouter). Features agentic audit capabilities with multi-model consensus for finding issues and generating direct fixes.

An MCP server that enforces unit testing standards by linting code and guiding agentic coding tools (like Gemini CLI or Claude Code) to follow best practices in test-driven development.

A custom MCP server that provides high-level tools for controlling Shopmium and Quoty apps on Android emulators, allowing for automated app navigation, interaction, and testing without needing to handle low-level implementation details.

Provides powerful inspection and interaction tools for connected android devices or emulators.

A Model Context Protocol server that enables AI assistants to interact with Android devices through ADB, allowing for automated device management, app installation, file transfers, and screenshot capture.

A Model Context Protocol server that provides integration with TestRail, allowing AI assistants to interact with TestRail projects, test cases, test runs, and results.

Programmatically generates and saves Gherkin feature files using the Model Context Protocol (MCP), making it easy to integrate with other applications.

An MCP server that allows AI tools like Claude Desktop, Claude Code, and Cursor to visually interact with macOS applications by capturing screenshots and controlling the mouse and keyboard.

A Model Context Protocol server that integrates with the Qase test management platform, allowing users to create and retrieve test cases, manage test runs, and interact with Qase projects.

A Message Control Protocol server that runs PHP tests and static analysis tools automatically for developers, providing results directly to AI assistants in Cursor editor.

A Model Context Protocol server that enables natural language interaction with the Coverity Connect static analysis platform, allowing users to manage projects, analyze snapshots, and generate security reports through AI-powered interfaces.

Implements a Model Context Protocol server that provides context from CucumberStudio to AI assistants, enabling them to fetch data and generate or modify test scenarios, features, and other CucumberStudio resources.

Enables AI assistants to inspect, debug, and test web pages using Playwright. Provides comprehensive DOM inspection, visibility debugging, layout validation, and element finding capabilities in real browser environments.

Enables automated testing and coverage reporting for MCP services with test execution, file generation, and mock service creation. Provides comprehensive testing infrastructure including Jest integration, coverage reports, and health checks for the MCP ecosystem.

Enables AI assistants to debug Node.js applications using Chrome DevTools Protocol. Provides comprehensive debugging capabilities including breakpoints, stepping, variable inspection, expression evaluation, and console monitoring.

Enables security scanning of codebases through integrated tools for secret detection, SCA, SAST, and DAST vulnerabilities, with AI-powered remediation suggestions based on findings.

A lightweight MCP test server for verifying client connectivity, providing tools, resources, and prompts for integration.

A Model Context Protocol server that enables AI assistants to interact with iOS simulators, perform accessibility testing, manage apps, and automate complex iOS workflows.

Provides real-time control of Unity Editor through natural language commands. Enables AI-powered workflows for object manipulation, scene management, automated testing, and asset operations with 30+ available tools.

Integrates 15+ static application security testing tools (Semgrep, Bandit, TruffleHog, etc.) with Claude Code AI, enabling automated vulnerability scanning and security analysis through natural language commands. Supports cross-platform operation with remote execution on dedicated security VMs.

Model Context Protocol server that enables API test automation across various AI hosts (Claude, OpenAI, custom) using Postman Collections.

Provides echo tools for testing MCP protocol functionality with message echoing, delayed responses, and JSON data analysis capabilities.

A Model Context Protocol tool for analyzing code repositories, performing security scans, and assessing code quality across multiple programming languages.

A Node.js-based Model Context Protocol implementation that provides a standardized interface for integrating Mobile Security Framework's security analysis capabilities into automated workflows and third-party tools.

A lightweight bridge enabling AI agents to perform real-world tasks on Android devices such as app navigation, UI interaction, and automated QA testing without requiring computer-vision pipelines or preprogrammed scripts.

A comprehensive server that integrates mobile testing frameworks with JIRA, generating BDD test scenarios and framework-compatible test scripts automatically.

Enables running Swift package tests through the swift test command in specified directories. Provides a secure way for MCP clients to execute Swift tests without requiring full shell access.

An MCP Server that provides access to Google's Cloud Tool Results API, enabling applications to programmatically interact with test results from Firebase Test Lab and mobile app testing through natural language.

Provides dynamic access to 400+ Meraki Dashboard API endpoints with intelligent discovery, plus advanced compliance auditing (PCI DSS, HIPAA, SOC2, ISO 27001, NIST), backup/restore operations, and network security analysis. Enables natural language queries to manage Meraki networks without pre-defined tools.

Enables AI assistants to debug frontend applications by providing direct access to browser DevTools, React state, DOM inspection, and runtime debugging capabilities. Bridges the gap between AI and complex web applications for autonomous debugging and issue resolution.

Enables analysis of RTL waveform files (VCD, FST) through WAL (Waveform Analysis Language). Supports signal inspection, transition extraction, and advanced waveform queries for hardware design verification.

A Model Context Protocol server that provides programmatic APIs for running mutation tests with mutmut, analyzing results, and improving test coverage in Python projects.

api-test-mcp

A testing environment for MCP server setup and client-server interactions, allowing users to verify basic MCP server functionality and test client-server communications including shell command execution.

protolint-mcp

AI-powered agent that streamlines web testing workflows by allowing developers to record, execute, and discover tests using natural language prompts in their AI coding assistants.

A standalone Model Context Protocol server for Snyk security scanning functionality.

Enables AI assistants to interact with Godot game projects through real-time error detection, automated testing, code analysis, and safe git-based patching. Provides comprehensive project context and development workflow automation for Godot developers.

Integrates OWASP ZAP security testing with AI assistants through MCP, enabling automated vulnerability scanning and AI-powered security analysis during development. Supports multiple scan types including active, passive, and AJAX spider scans with real-time status updates.

AI-powered agent that integrates with coding assistants via MCP to automate web testing workflows, allowing developers to record tests, execute regression testing, and discover test flows using natural language prompts.

Provides comprehensive code quality tools including linting, security scanning, TypeScript checking, and testing through a single MCP server. Integrates multiple quality analysis tools like Biome, ESLint, and Playwright for streamlined development workflows.

Enables natural language analysis of Perfetto traces to diagnose Android app performance issues like ANRs, jank, CPU hotspots, memory leaks, and lock contention without writing SQL queries.

An AI-powered MCP server that automates web testing workflows by enabling recording, execution, and discovery of tests through natural language prompts.

A lightweight open-source server that enables AI agents to interact with the Windows operating system, allowing for file navigation, application control, UI interaction, and QA testing without requiring computer vision.

A specialized testing harness that enables AI assistants to thoroughly test other MCP servers by connecting to them, discovering their tools/resources/prompts, executing test calls, and performing end-to-end validation with LLM integration.

A test server implementing all features of the MCP protocol, including prompts, tools, resources, and sampling, designed for testing MCP clients rather than practical applications.

An MCP server that allows agents to test and compare LLM prompts across OpenAI and Anthropic models, supporting single tests, side-by-side comparisons, and multi-turn conversations.

A server that implements the Model Context Protocol (MCP) for orchestrating code reviews using a multi-agent system with Melchior, Balthasar, and Casper agents.

A Model Context Protocol server that provides AI vision capabilities for analyzing UI screenshots, offering tools for screen analysis, file operations, and UI/UX report generation.

A Model Context Protocol server designed to facilitate Nextflow development and testing, providing tools for building from source, running tests, and managing the Nextflow development environment.

Enables validation of Dify Workflow DSL YAML files through MCP protocol. Allows users to check the validity and structure of Dify workflow definition files.

Enables security scanning of code projects to identify common vulnerabilities like XSS, injections, SSRF, and path traversal issues. Provides local, offline scanning with severity-grouped results and actionable fix suggestions for improving code security.

Enables deep, order-independent comparison of JSON files to detect differences including missing keys, value mismatches, and type differences. Provides detailed reports with path tracking for precise identification of variations between JSON structures.

Enables automatic generation of test scenarios from user stories uploaded to Claude desktop. Leverages MCP integration to streamline the test case creation process for development workflows.

A server implementation of the Model Context Protocol (MCP) for managing development workflow with features like project management, task tracking, and QA review support.

An interactive tool that enables users to benchmark vLLM endpoints through MCP, allowing performance testing of LLM models with customizable parameters.

Enables AI-powered document analysis and querying for project documentation using vector embeddings stored in Redis. Supports document upload, context-aware Q\&A, automatic test case generation, and requirements traceability through OpenAI integration.

Enables step-through debugging for C#, Node.js/TypeScript, Python, and Dart applications on Windows through a unified MCP interface. Acts as a bridge between MCP clients and various debug adapters, providing consistent debugging workflows with breakpoints, variable inspection, and process attachment capabilities.

Validates Mermaid diagrams with comprehensive grammar parsing supporting 28+ diagram types. Processes markdown files, ZIP archives, and direct input with detailed error reporting and enterprise-grade performance capabilities.

Damn Vulnerable MCP Server for Security Researchers.

Provides real-time TBC Bank development standards compliance checking and code review tools. Integrates with GitHub Copilot and development workflows to automatically enforce coding guidelines and reduce violations.

Provides Trivy security scanning capabilities through a standardized interface, allowing users to scan projects for vulnerabilities and automatically fix them by updating dependencies.

A utility toolkit that enhances Claude's code interaction capabilities by providing seamless tools for Java code analysis, manipulation, and testing workflows.

Provides automated GUI testing and control capabilities through an MCP server that enables mouse movements, keyboard input, screen captures, and image recognition across Windows, macOS, and Linux.

Enables intelligent analysis of regression test failures and automatic discovery of solutions in JIRA. Analyzes test logs using AI-driven algorithms and matches errors with relevant JIRA issues through natural language interactions.

Enables AI assistants to run and analyze pytest tests for desktop applications through interactive commands. Supports test execution, filtering, result analysis, and debugging for comprehensive test automation workflows.

Enables AI assistants to interact with TestRail test management systems through comprehensive API integration. Supports retrieving and updating test cases, projects, suites, runs, and results, plus adding attachments and managing test data through natural language commands.

this is a test

A standalone server enabling Snyk security scanning through the Model Context Protocol, with support for repository and project analysis, token verification, and CLI integration.

Provides real-time OWASP ASVS security guidance and vulnerability scanning for AI coding agents. Enables proactive security during code generation by checking security requirements, scanning code for vulnerabilities, and suggesting secure code fixes.

Provides advanced Flutter development tools via Model Context Protocol with features including widget analysis, documentation search, performance optimization, and code generation.

Custom version of vibecheck