@rog0x/mcp-testing-tools

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:

generate_mock_data

Generate realistic mock data for testing. Supported types:

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

Parameters:

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:

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:

generate_assertions

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

Parameters:

Related MCP server: EvalView

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