"Information about Test-Driven Development (TDD)" matching MCP servers:

Enables AI-driven MIDI composition with chord name support, interactive piano-roll preview, and multiple deployment modes.

Enables AI assistants to automate mobile app testing and development for iOS and Android through natural language interactions. Supports intelligent element identification, session management, automated test generation, and comprehensive device interactions including clicks, swipes, screenshots, and app management.

Provides LLM clients with real-time access to BSUIR class schedules, academic weeks, student groups, and teachers through a read-only MCP interface, enabling natural-language queries about lessons and timetable information.

An MCP server for C++ development that currently provides a server_status diagnostic tool. It validates a workspace directory and is designed to expand into build, test, and debugging capabilities.

A batteries-included Python template that ships a shared service registry as a CLI, MCP server, and HTTP API, enabling rapid development of MCP tools like the included Gmail skill.

Embeds live, interactive Tableau dashboards in ChatGPT, pushing mark selections to the model so questions about specific data points are answered with live queried numbers.

An MCP server that provides live status updates for the Eco via Sirens game server, displaying meteor countdowns, player statistics, and world information directly within Claude Desktop. It also serves as a minimal reference implementation for building MCP Apps in Python without complex tooling.

Renders an interactive pipeline DAG and test-harness dashboard inline in MCP hosts, showing node statuses, pass rates, costs, and latency from a JSON state file.

A server implementing Model Context Protocol that enables LLMs to interact with the ZenML platform, providing access to pipeline data, stack information, and the ability to trigger new pipeline runs.

RunBeacon is an MCP server that turns long-running local and SSH commands into tracked jobs. It provides event-driven monitoring, a live dashboard, and a resident daemon for reliable execution and cancellation.

Enables cross-platform real device debugging for React Native development, supporting Android, iOS, and HarmonyOS with real-time connection status, screenshots, logs, diagnostics, evidence, and Codex context.

The GitKraken MCP Server turns your AI assistant into a context-aware development partner by connecting it to git history, branches, issues, pull requests, and multi-repo workflows through GitKraken. It works with all the providers you would expect from the GitKraken software suite such as GitHub, GitLab, Azure DevOps, Bitbucket, Jira, and more.

Provides access to 27 UK government data sources and services, enabling queries about transport, business, healthcare, and more via natural language.

Exposes structured documentation for 200+ Trimble Connect API endpoints and provides tools for AI-assisted development of Trimble Connect extensions and applications.

Enables AI agents to inspect, interact with, and automate VTable virtual tables and surrounding web UIs through MCP, including trusted clicks, cell reading, drag-and-drop, browser/Playwright control, and interactive UI panels for test case execution.

An MCP server that provides a toolbox for interacting with EPA SWMM stormwater models, enabling users to analyze model data and interpret results through LLM-driven tools. It assists stormwater modelers in understanding hydraulic systems and modeling behavior using natural language interfaces.

Enables managing personal information with dynamic topic-based organization (tasks, meetings, contacts, etc.), supporting optional OTP authentication and AES-256 encryption for sensitive data with automatic backups.

Provides Swiss Aare river swimming data including water temperature, flow rates, safety assessments, and forecasts. Enables AI assistants to answer questions about current conditions, compare cities, and provide safety recommendations based on official BAFU thresholds.

MCP server for searching, importing, and materializing scientific figure templates from FigureYa and user libraries, enabling data-driven figure selection via visual/data profiling.