Zephyr Scale MCP Server

Model Context Protocol server for Zephyr Scale test management, supporting both Jira Cloud and Data Center. Create, read, and manage test cases through the Atlassian REST API with official API-compliant schemas. Access live test case data, example payloads, and file resources through a unified resource system.

Features

• ✅ Jira Cloud & Data Center Support: Seamlessly connects to both Jira Cloud (using API v2) and self-hosted Data Center instances (using API v1) with automatic configuration detection.
• ✅ Official API-Compliant Schemas: Tools and data structures match the official Zephyr Scale REST API, ensuring compatibility and reliability.
• ✅ Unified Test Case Creation: A single create_test_case tool handles all script types (BDD, Step-by-Step, Plain Text) for a simplified workflow.
• ✅ Full Test Lifecycle Management: Comprehensive tools to create, read, delete test cases, and manage test runs, executions, and folders.
• ✅ Live Templating System: Use real test cases from your Zephyr instance as templates (zephyr://testcase/KEY) to ensure consistency and correct project-specific fields.
• ✅ Unified Resource System: Access live Zephyr data, local files (file://), and built-in examples through a consistent URI-based system.

Installation and Configuration

You can run the server using npx without installation, or install it globally from npm.

Using npx (Recommended)

Configure your MCP client with the following structure.

Jira Cloud:

{
  "mcpServers": {
    "zephyr-server": {
      "command": "npx",
      "args": ["zephyr-scale-mcp-server@latest"],
      "env": {
        "ZEPHYR_BASE_URL": "https://your-company.atlassian.net",
        "JIRA_USERNAME": "your-email@example.com",
        "JIRA_API_TOKEN": "your-api-token"
      }
    }
  }
}

Jira Data Center:

{
  "mcpServers": {
    "zephyr-server": {
      "command": "npx",
      "args": ["zephyr-scale-mcp-server@latest"],
      "env": {
        "ZEPHYR_BASE_URL": "https://your-jira-server.com",
        "ZEPHYR_API_KEY": "your-api-token"
      }
    }
  }
}

Using global npm installation

First install the package globally:

npm install -g zephyr-scale-mcp-server

Then, update the command in your MCP configuration to "command": "zephyr-scale-mcp".

Core Concepts

Unified API

The latest version features a unified create_test_case tool that supports all test script types (STEP_BY_STEP, PLAIN_TEXT, and BDD) through a single, consistent interface. This matches the official Zephyr Scale REST API v1 structure exactly, simplifying the test creation process.

Jira Cloud vs. Data Center

The server automatically detects your Jira environment and uses the appropriate API version:

• Jira Cloud: Uses Zephyr Scale API v2.
• Jira Data Center: Uses Zephyr Scale API v1.

Some tools are platform-specific. For example, add_test_cases_to_run is only available on Cloud, as the Data Center API (v1) does not support modifying test runs after creation.

Resource System

The server provides access to various resources through URI schemes:

• zephyr://testcase/YOUR-TEST-CASE-KEY: Fetch real test case data from your Zephyr instance to use as templates.
• file:///absolute/path/to/your/file.json: Read user-provided files.
• zephyr://examples/...: Access built-in example payloads.

Tools Reference

Test Case Management

• get_test_case: Get detailed information about a specific test case.
• create_test_case: Create test cases with STEP_BY_STEP, PLAIN_TEXT, or BDD content.
• delete_test_case: Delete a specific test case.
• update_test_case_bdd: Update an existing test case with BDD content (optionally update the test case name).

Test Run Management

• create_test_run: Create a new test run.
• get_test_run: Get detailed information about a specific test run.
• get_test_run_cases: Get test case keys from a test run.
• add_test_cases_to_run: Add test cases to an existing test run. (Cloud only)

Test Execution & Search

• get_test_execution: Get detailed individual test execution results.
• search_test_cases_by_folder: Search for test cases in a specific folder.
• search_test_runs: Search for test runs by project key and/or folder path.

Organization

• create_folder: Create a new folder in Zephyr Scale.

Usage Examples

Create a BDD Test Case

{
  "project_key": "PROJ",
  "name": "User Authentication",
  "test_script": {
    "type": "BDD",
    "text": "Feature: User Login\n\nScenario: Valid user login\n  Given a user with valid credentials\n  When the user attempts to log in\n  Then the user should be authenticated successfully"
  }
}

Note: The server will automatically convert markdown-style BDD to proper Gherkin format.

Use a Live Test Case as a Template

1. Fetch an existing test case: zephyr://testcase/PROJ-T123
2. Copy its structure (especially customFields and folder).
3. Create a new test case using the same project-specific configuration.

Create a Test Run

{
  "project_key": "PROJ",
  "name": "Sprint 1 Test Run",
  "test_case_keys": ["PROJ-T123", "PROJ-T124", "PROJ-T125"]
}

Update an Existing BDD Test Case

{
  "test_case_key": "PROJ-T123",
  "name": "Ensure the axial-flow pump is enabled",
  "bdd_content": "Feature: Pump Enablement\n\nScenario: Enable the pump\n  Given the system is powered on\n  When the operator enables the axial-flow pump\n  Then the pump should report as enabled"
}

Note: The server will convert markdown-style BDD into Gherkin when possible and will preserve all other existing test case fields.

Authentication

The MCP server supports both Jira Cloud and Jira Data Center instances.

Jira Cloud Configuration

• ZEPHYR_BASE_URL: https://your-company.atlassian.net
• JIRA_USERNAME: your-email@example.com
• JIRA_API_TOKEN: Your API token from Atlassian account settings.

Jira Data Center Configuration

• ZEPHYR_BASE_URL: https://your-jira-server.com
• ZEPHYR_API_KEY: Your API token from your Jira profile settings.

Automatic Detection

The server automatically detects your Jira type based on the ZEPHYR_BASE_URL. You can also explicitly set it with JIRA_TYPE="cloud" or "datacenter".

License

MIT