"How to create a unit test for a project" matching MCP servers:

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

A CLI tool that sets up a Model Control Protocol server and deploys it to Cloudflare Workers, allowing you to quickly create custom tools for your Cursor Agent just by writing TypeScript functions.

Scaffold and audit Starter Series projects — MCP server, Claude Code skill, and CLI in one package.

Provides precise conversions between different units of measurement including temperature, length, weight, and volume.

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.

Enables AI agents to convert between measurement units across length, weight, temperature, volume, speed, and data storage, with formulas included. Supports pay-per-call access via x402 micropayments without API keys or signup.

Enables project creation with validated flow and automatic registration via MCP, supporting scaffold, bootstrap, and validation tools.

Converts common units for length, weight, temperature, area, and volume.

A minimal test MCP server built with TypeScript, demonstrating basic Model Context Protocol capabilities like tools, resources, and prompts.

An enhanced dynamic MCP server management service that creates, runs, and manages Model Context Protocol servers with multi-language support and strict parameter validation.

Enables unit conversion for length, weight, temperature, and currency using simple tools, with a free tier and paid upgrade for higher usage.

Generates structured prompts for Claude Code to create comprehensive Terraform test cases including unit, integration, and mock tests.

An automated testing MCP server that converts test cases into a fixed JSON format, runs them case-by-case, and provides a visual report with review support for cases that cannot be automatically judged.

Project Memory stores decisions, evidence, outcomes and reviewed lessons in local SQLite. Assistants retrieve bounded context through three MCP tools. People follow and plan work in a live workspace with an overview, sprint board, decision history, readable documents, skills and project maps. Offline exports remain available.

A basic MCP server built with the FastMCP framework that provides fundamental mathematical operations like addition, subtraction, multiplication, and division. It serves as a demonstration for integrating math-based tools into MCP-compatible environments like Cursor IDE.

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.

Intent-based project documentation server that automatically maps natural language queries to the right sources (plans, todos, roadmap, docs) and provides comprehensive task management with dependency tracking, backlog promotion, and archival workflows.

A stateful MCP server that remembers what your AI agent has already seen.