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Testing Tools

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Provides testing and quality assurance tools for AI agents via MCP, enabling generation of test cases, mock data, API mocks, coverage analysis, and assertions.

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Описание

Provides testing and quality assurance tools for AI agents via MCP, enabling generation of test cases, mock data, API mocks, coverage analysis, and assertions.

README

Testing and quality assurance tools for AI agents, exposed via the Model Context Protocol (MCP).

Tools

generate_tests

Generate test cases from a function signature. Produces four categories of tests as ready-to-run Jest or Vitest code:

  • Happy path -- valid inputs, expected outputs
  • Edge cases -- empty strings, zero values, null parameters
  • Error cases -- missing arguments, wrong types
  • Boundary values -- extreme numbers, large arrays, NaN

Parameters:

Name Type Required Description
signature string Yes Function signature, e.g. async function fetchUser(id: number): Promise<User>
framework string No jest or vitest (default: vitest)
module_path string No Import path for the module under test (default: ./module)

generate_mock_data

Generate realistic mock data for testing. Supported types:

name, email, address, date, uuid, phone, company, credit_card, ip

Parameters:

Name Type Required Description
type string Yes Data type to generate
count number No Number of items (default: 10, max: 1000)
locale string No en or es (default: en)
types string[] No Generate mixed records with multiple field types

generate_api_mock

Generate mock API responses from a schema definition. Creates realistic JSON payloads for REST endpoints by inferring values from field names and types.

Parameters:

Name Type Required Description
endpoint string Yes API endpoint path
method string No HTTP method (default: GET)
fields object[] Yes Field schemas with name, type, optional items, fields, nullable, enum
count number No Number of records (default: 1, max: 100)
status_code number No HTTP status code (default: 200)
wrap_in_envelope boolean No Wrap in { success, data, meta } (default: true)

analyze_test_coverage

Analyze source code and test code to find untested functions. Prioritizes suggestions by:

  • Export status (public API surface)
  • Cyclomatic complexity estimate
  • Parameter count
  • Async functions (more error paths)

Parameters:

Name Type Required Description
source_code string Yes Source code to analyze
test_code string Yes Existing test code
source_file_name string No Filename label (default: source.ts)

generate_assertions

Generate detailed assertion code by comparing expected and actual values. Performs deep diff and produces per-field assertions with descriptive comments.

Parameters:

Name Type Required Description
expected string Yes Expected value as JSON string
actual string Yes Actual value as JSON string
label string No Description for the comparison
framework string No jest, vitest, or chai (default: jest)
deep boolean No Deep equality for objects/arrays (default: true)

Setup

npm install
npm run build

Usage with Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "testing-tools": {
      "command": "node",
      "args": ["path/to/mcp-testing-tools/dist/index.js"]
    }
  }
}

License

MIT

from github.com/rog0x/mcp-testing-tools

Установка Testing Tools

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/rog0x/mcp-testing-tools

FAQ

Testing Tools MCP бесплатный?

Да, Testing Tools MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Testing Tools?

Нет, Testing Tools работает без API-ключей и переменных окружения.

Testing Tools — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Testing Tools в Claude Desktop, Claude Code или Cursor?

Открой Testing Tools на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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