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

Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.

An all-in-one development toolkit that integrates 10 popular MCPs with comprehensive features for solo developers, supporting frontend, backend, mobile development, database management, testing, and deployment automation.

Enables AI agents to call real API endpoints and verify responses against OpenAPI specs, supporting contract testing, auth presets, spec diffing, and health checks.

MCP server voor het maken van testcases. Maar ook voor het inzetten van test technieken en heuristieken.

ocal-first, read-only MCP server that audits repository test architecture across ten language ecosystems. It returns deterministic evidence-backed findings, blockers, rankings, and repository-native test plans without modifying source files.

The MCP Internet Speed Test is a specialized Model Context Protocol (MCP) server that enables AI models and agents to perform internet speed measurements.

Enables MCP clients to list and inspect coding-agent benchmark tasks, score recorded answers, run evaluations, and retrieve data provenance.

A test harness for MCP servers that validates server JSON, tool schemas, performs golden file diffing and schema drift detection, and generates signed test reports with Shields.io badges.

Enables verifying event-driven webhook signatures and providing HMAC replay protection for AI agents and MCP clients.

Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.

Enables generation of test cases, edge cases, and test matrices for software testing, integrated with MCP protocol and EU AI Act compliance.

Provide a human vision statement. The AI autonomously researches, audits your codebase, generates specs and plans, implements, and validates — with bi-directional verification at every junction to ensure nothing is missed or invented.

Enables MCP clients such as Claude Desktop, Cursor, and Windsurf to run two-sample Welch's t-tests that compute Satterthwaite degrees of freedom and two-tailed p-values for A/B test comparisons. It also exposes zero-dependency statistical primitives including Holt linear forecasting, Z-score/IQR anomaly detection, gradient-descent regression, and power-iteration PCA, all using only the Python standard library.

Enables AI agents to run GPU acceptance tests on NVIDIA nodes you administer over SSH, executing DCGM diagnostics, a CUTLASS GEMM benchmark, HBM and PCIe bandwidth tests and NCCL all-reduce, then reporting each measurement against the matching profile's thresholds. Supports creating tests, tracking progress, sharing reports, and requires two owner-only confirmations before nodes are added or a test starts.

Enables automated analysis of test suite traces to identify timing races and state pollution, helping detect flaky test non-determinism in CI/CD workflows such as Datadog CI or Trunk.

A minimal Model Context Protocol server template demonstrating tools, resources, and prompts implementation. Built with Smithery SDK for quick MCP server development and deployment.

Retrieves current weather information for any location using the OpenWeatherMap API with configurable temperature units (Celsius or Fahrenheit).

Official MCP server for FormaCV, enabling AI-powered CV formatting, anonymization, tailoring, and ATS push-back from AI agents like Claude Desktop and Cursor.

A local, MIT-licensed AI test harness with 10 MCP tools and 11 prompts for risk-based testing, accessibility checks, quality maps, evidence, and interactive reports. Runs over stdio against an explicitly configured project folder; uses the host AI coding agent, with no hosted backend or runtime telemetry.

Enables AI coding assistants to scan an iOS, Android, Flutter, React Native or Expo project for App Store and Google Play rejection risks, returning deterministic findings that cite the guideline section, link to the official Apple or Google page and explain how to fix each problem. Nothing leaves the machine and no AI is used in the checks.