Let LLMs author your integration tests—E2E-style.

Model your API as a graph once. Long-chain integration tests, layer × environment matrices, CI-ready runs, and an MCP server — all from the same YAML.

Local, stateful twins of the Jobber, Housecall Pro, and QuickBooks Online APIs. Build and test integrations and AI agents against a believable fake business, with resets, rewind, controllable time and failures on demand. No real accounts.

Local, stateful twins of the Jobber, Housecall Pro, and QuickBooks Online APIs. Build and test integrations and AI agents against a believable fake business, with resets, rewind, controllable time and failures on demand. No real accounts.

An MCP server enabling LLMs to write integration tests through live test environment interaction

Seamless integration between Claude Code and Playwright MCP for efficient browser automation and testing

AI-powered Allure test report analysis with Jira integration

Gherkio lets you describe HTTP-based integration tests as declarative YAML scenarios. Define requests, assertions, variable extractions, and orchestration — all in a simple, human-readable format that stays maintainable over time.

tailtest for Cline: MCP server + .clinerules pack + Memory Bank integration. Reaches 8+ editors via Cline. Adversarial test mode shipped from day one.

Cursor plugin for Neblex Integration Fabric (iPaaS): build, test and run integrations, workflows and AI agents from Cursor through the hosted Neblex MCP server.

Taichi is a language-agnostic, plugin-driven test orchestration framework — run API, gRPC, UI, static, and regression tests with one CLI, extend via third-party skill plugins in any language, integrate AI agents for auto-fix loops, and ship JUnit/JSON/HTML reports.

MCP server for Azure DevOps integration with wikis, test plans, and work items

A Model Context Protocol (MCP) server implementation for running Locust load tests. This server enables seamless integration of Locust load testing capabilities with AI-powered development environments.

Test mode for your integrations, built for the way agents build. Local, stateful twins of GitHub, Slack, Stripe, Gmail and Linear, over REST and MCP.

An MCP server enabling LLMs to write integration tests through live test environment interaction

JSON-driven E2E test runner with parallel execution, Chrome pool, and Claude Code MCP integration

Joinable's self-test and MCP server: check a web game's multiplayer integration with two headless players, and give coding agents the Joinable kit. https://getjoinable.com

CPU and GPU stress test for Linux (GTK 4 / libadwaita) – live sensors and 30-minute graphs, power supply readings, safety limits, Vifte-aware, status icon and Claude (MCP) integration

Model Context Protocol (MCP) server for reading IDE output, test results, and linter problems. Integrates with Cursor, VS Code, and other IDEs for AI-assisted development.

Comprehensive accessibility testing MCP server with axe-core integration, annotated screenshots, batch testing, and multiple report formats

Crawlbase MCP Server connects AI agents and LLMs with real-time web data. It powers Claude, Cursor, and Windsurf integrations with battle-tested web scraping, JavaScript rendering, and anti-bot protection enabling structured, live data inside your AI workflows.

Model Context Protocol (MCP) integration for beebjit enabling structured context exchange between the BBC Micro emulator beebjit and AI tools. Also a Python harness for direct CI/CD integration or other testing pipelines.

A MCP Server implementation in C# for LLM integration with SQL Server tested with Claude Desktop

Repository for testing server customizations and integrations with MCP. Exploring features and configurations to optimize functionality

Synthetic test-data generator with referential integrity

A utility toolkit designed to enhance the interaction between Claude and code, providing seamless integration tools for code analysis, manipulation, and testing workflows.

RedQuanta MCP transforms penetration testing into an intelligent, automated, and secure process. Built specifically for LLM integration and professional security teams, it provides enterprise-grade security orchestration.

This project is a Java-based UI automation framework that integrates with Appium and utilizes LLMs (like Claude) to drive intelligent test actions on mobile devices and simulators.

A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.

MCP API server example : where customers can order from a fun dummy restaurant menu, track order status (success/failed), and view order history. Fully RESTful, plug-and-play, and perfect for testing MCP integrations.

A single-route FastAPI app that handles multiple AI tasks, includes optional JWT auth, integrates a minimal MCP server/client for tool calling, and ships with a basic trading backtest utility. Tested locally on macOS.

Production-ready multi-agent AI assistant with RAG, MCP server, and CRM integration. Reference implementation. Telegram/MAX Messenger, Bitrix24, ChromaDB, OpenAI/YandexGPT. 170 tests, 84% coverage.

Provide a simple and easy-to-run MCP server implementation that supports stdio and SSE transports. Enable seamless integration with MCP clients using Node.js or Docker environments. Facilitate quick startup and testing of MCP capabilities for development and experimentation.

Receive, inspect, replay, and forward webhooks u2014 from your AI agent. Capture any webhook payload, inspect headers + body, replay to modified URLs, and build integration tests u2014 all without ngrok, RequestBin, or webhook.site.

BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.

Two-component system bridging Kali Linux penetration testing tools with AI agents via MCP. Flask API server executes 10+ security tools (Nmap, SQLMap, Metasploit, etc.) while MCP client provides seamless AI integration for automated security workflows.

A Docker-based lab environment for testing and developing with the Okta MCP (Model Context Protocol) Server. This setup provides multiple deployment options including an HTTP Gateway for easy integration.

Local code intelligence for developers and AI agents. Connect code, docs and infrastructure in a persistent graph, with CBM Lens, MCP tools, agent integrations and change-aware test selection.

Production-ready Xero MCP Server starter template built with TypeScript. Includes OAuth authentication, invoices, contacts, accounts, payments, health checks, testing, and seamless integration with Claude Desktop, Cursor, Windsurf, and other Model Context Protocol (MCP) clients.

An MCP server that integrates Wireshark/tshark with AI tools and IDEs. Capture live traffic, parse .pcap files, apply display filters, follow streams, and export JSON - all via Claude Desktop, VS Code, or CLI. Cross‑platform, typed, tested, and pip‑installable.

Preview release with four read-only tools. CMS companions are obtained separately from GMC. No editing, publishing, full export/import, backups or private Pro implementation is included. Requires an MCPB 0.4 UV-capable host; dependencies are installed locally from pyproject.toml. Site/runtime integration has not been tested. Lite is free under the limited commercial licence. An Upgrade to Pro resource previews the capabilities of the separate Pro product and links to its current plans.

AI-integrated backend service for code linting (i.e. analyzing code for issues), with an accompanying MCP server for AI-agent integration.

MCP server for TestIT (WorkItems, TestRuns, TestPlans)

Open-source MCP server for AIO Tests — test management in Jira. Search, read, create and update test cases from Claude, Cursor, VS Code or any MCP client. Works with Jira Cloud AND Server/Data Center, with a read-only mode.

Model Context Protocol (MCP) server for TestRail: let Claude, Cursor, and Windsurf manage test cases, runs, results, and attachments.

MCP Server to dynamically manipulate by Postgres DB running in docker to use in AI Agents

MCP server for Bruno: an AI agent authors, reads and runs .bru and .yml API collections. No bru CLI, byte-parity with Bruno. Claude, Cursor, Codex.

API tests your AI writes and your CI runs: YAML files in your repository, one native binary, no account. A Postman alternative with a VS Code extension, a browser app and an MCP server for coding agents.

A free local cloud environment for AI coding agents to build, test, and debug Google Cloud applications. Includes MCP discovery, SDK configuration, resource inspection, queries, and diagnostics.

Open-source MCP platform connecting AI applications with engineering tools, documentation, and workflows.

DVERA connects coding agents to CT for C/C++ unit and integration verification in functional-safety projects through MCP and Skills.

An MCP server that enables AI agents to perform real end-to-end testing of Minecraft server plugins using bots and server introspection.

Local merge queue for parallel LLM agents in Git worktrees. Test combined code changes, require approval for Git pushes, and recover interrupted pushes.

This web browser has been designed to help your agent debug and develop complex web applications.

Queue committed branches from parallel LLM coding agents in Git worktrees. Test the combined tree in a local merge queue, require approval for Git pushes, and recover interrupted pushes.

MCP Server for webhook.site API integration with layered architecture

Diagnose your GitHub Actions: flaky jobs, wasted minutes, slow steps, cache problems, and workflow anti-patterns — in one command, zero config.

Enable seamless file operations, repository management, and advanced search functionalities on GitHub. Automate your workflow with automatic branch creation and comprehensive error handling, ensuring your Git history is preserved. Enhance your development experience by integrating GitHub capabilities directly into your applications.

A Model Context Protocol (MCP) server providing terminal integration for AI agents and high-fidelity demos.

AI-powered pentesting automation with MCP integration for Claude Code - parallel scanning, OWASP ASVS 5.0, workflow recording/replay