MCP Testing

MCP Eval Testing Patterns

This skill loads eval testing patterns for MCP tools using @umbraco-cms/mcp-server-sdk/evals. Eval tests verify tools work correctly when driven by an LLM agent.

For integration tests, use /build-tools-tests instead.

When to Use

Use this skill when:

• Creating eval/acceptance tests for MCP tools
• Verifying tools work correctly in LLM-driven workflows
• Debugging eval test failures

Setup

Eval tests live in tests/evals/ with a dedicated Jest config. The setup file is loaded automatically via setupFilesAfterEnv — test files do NOT need to import it.

tests/evals/helpers/e2e-setup.ts

import path from "path";
import { configureEvals, ClaudeModels } from "@umbraco-cms/mcp-server-sdk/evals";

configureEvals({
  mcpServerPath: path.resolve(process.cwd(), "dist/index.js"),
  mcpServerName: "my-mcp-server",
  serverEnv: { USE_MOCK_API: "true" },
  defaultModel: ClaudeModels.Haiku,
  defaultMaxTurns: 10,
  defaultMaxBudgetUsd: 0.25,
  defaultTimeoutMs: 60000,
});

tests/evals/jest.config.ts

import type { Config } from "jest";

const config: Config = {
  preset: "ts-jest/presets/js-with-ts-esm",
  testEnvironment: "node",
  extensionsToTreatAsEsm: [".ts"],
  rootDir: "../..",
  testMatch: ["<rootDir>/tests/evals/**/*.test.ts"],
  setupFilesAfterEnv: ["<rootDir>/tests/evals/helpers/e2e-setup.ts"],
  maxConcurrency: 1,
  maxWorkers: 1,
  testTimeout: 120000,
};

export default config;

Test Pattern

// tests/evals/entity-crud.test.ts
import { describe, it } from "@jest/globals";
import {
  runScenarioTest,
  setupConsoleMock,
  getDefaultTimeoutMs,
} from "@umbraco-cms/mcp-server-sdk/evals";

describe("entity evals", () => {
  setupConsoleMock();

  it(
    "should complete workflow",
    runScenarioTest({
      prompt: `Complete these tasks:
1. Create an item named "Test"
2. Delete the item
3. Say "Workflow completed"`,
      tools: ["create-item", "delete-item"],
      requiredTools: ["create-item", "delete-item"],
      successPattern: "Workflow completed",
    }),
    getDefaultTimeoutMs()
  );
});

Key Concepts

runScenarioTest Options

Writing Good Prompts

• Use numbered step-by-step instructions
• Be explicit about what to do with results ("get details for the first one")
• Use unique identifiers with timestamps to avoid collisions
• End with a specific success phrase ("Say 'Workflow completed'")
• Search for IDs dynamically — don't hardcode them

Grouping Related Tools

Group tools that work together in a single eval test to verify the workflow:

it(
  "should create, list, and delete",
  runScenarioTest({
    prompt: `Complete these tasks:
1. Create a form named "Test Form ${Date.now()}"
2. List all forms and confirm the new one appears
3. Delete the form you created
4. Say "CRUD workflow completed"`,
    tools: ["create-form", "list-forms", "delete-form"],
    requiredTools: ["create-form", "list-forms", "delete-form"],
    successPattern: "CRUD workflow completed",
  }),
  getDefaultTimeoutMs()
);

Running Eval Tests

# Build first (evals run against dist/)
npm run build

# Run all evals
npm run test:evals

# Run specific eval file
npm run test:evals -- --testPathPattern="entity"

# Verbose mode shows full LLM conversation
E2E_VERBOSITY=verbose npm run test:evals

Best Practices

• Always build before running evals (npm run build)
• Use unique identifiers (timestamps) to avoid test data collisions
• Clear step-by-step prompts work better than vague instructions
• Search for IDs dynamically — don't assume IDs exist
• Enable verbose mode during development to see the full conversation
• Keep maxBudgetUsd low to catch inefficient tool usage

Debugging

# Verbose mode shows full conversation
E2E_VERBOSITY=verbose npm run test:evals

# Run specific eval file
npm run test:evals -- --testPathPattern="entity"

Common Issues

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