MCP 服务器

TestRail MCP Server

AI-native Model Context Protocol (MCP) server for TestRail. Lets Claude, Cursor, Windsurf, and other AI assistants browse projects, create and update test cases, kick off test runs, and record results through natural-language conversation — with strongly-typed tool schemas and per-project custom field validation that helps LLMs generate valid TestRail requests on the first try.

README

<div align="center"> <h1>🚀 TestRail MCP Server</h1> An open-source Model Context Protocol (MCP) server that connects Claude, Cursor, Windsurf, and other AI assistants directly to TestRail. Manage TestRail projects, search and create test cases, kick off test runs, record results, and attach files — all through natural-language conversation with your AI assistant. Built for QA engineers and AI-assisted test automation. </div>

Compatible with: <img src="https://img.shields.io/badge/Claude%20Desktop-D97757?logo=anthropic&logoColor=white" alt="Claude Desktop"> <img src="https://img.shields.io/badge/Cursor-000000?logo=cursor&logoColor=white" alt="Cursor"> <img src="https://img.shields.io/badge/Windsurf-19A1BC?logo=codeium&logoColor=white" alt="Windsurf"> <img src="https://img.shields.io/badge/VS%20Code-007ACC?logo=visualstudiocode&logoColor=white" alt="VS Code">

🌟 Why Choose TestRail MCP Server?

Managing test cases manually is tedious and error-prone. With the TestRail MCP Server, your AI assistant (whether it’s Claude, Cursor, Windsurf, or any MCP-compliant client) interacts directly with your TestRail instance. Instruct it to find test cases, draft new ones, kick off test runs, and record test results—all through natural conversation.

No context switching. No tedious copy-pasting. Just ask your AI.

✨ Key Features & Capabilities

Capability	Description
🔍 Intelligent Discovery	Browse projects, test suites, and sections to automatically map your QA organization.
📋 Full Case Management	Fetch, create, update, and bulk-edit test cases with comprehensive custom field support.
▶️ Actionable Execution	Create test runs, update results by `test_id` or `case_id`, attach files, and track statuses.
🧠 Context-Aware AI	Dynamically exposes templates, fields, priorities, and statuses so LLMs generate valid, structured data.

🚀 Quick Start Guide

1. Obtain Your TestRail API Key

Navigate to My Settings → API Keys in your TestRail platform and generate a new key for authentication.

2. Configure Your MCP Client

Add the server to your chosen MCP client configuration. The Claude Desktop example is shown below; Cursor, Windsurf, and other clients use the same pattern (see the collapsible sections further down).

🤖 Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "testrail": {
      "command": "npx",
      "args": ["-y", "@uarlouski/testrail-mcp-server@latest"],
      "env": {
        "TESTRAIL_INSTANCE_URL": "https://your-instance.testrail.io",
        "TESTRAIL_USERNAME": "your@email.com",
        "TESTRAIL_API_KEY": "your-api-key",
        "TESTRAIL_ENABLE_SHARED_STEPS": "true"
      }
    }
  }
}

<details> <summary>⌨️ Cursor</summary>

Open Settings → Features → MCP and add a new configuration:

{
  "mcpServers": {
    "testrail": {
      "command": "npx",
      "args": ["-y", "@uarlouski/testrail-mcp-server@latest"],
      "env": {
        "TESTRAIL_INSTANCE_URL": "https://your-instance.testrail.io",
        "TESTRAIL_USERNAME": "your@email.com",
        "TESTRAIL_API_KEY": "your-api-key"
      }
    }
  }
}

</details>

<details> <summary>🌊 Windsurf</summary>

Update your Windsurf MCP configuration file:

{
  "mcpServers": {
    "testrail": {
      "command": "npx",
      "args": ["-y", "@uarlouski/testrail-mcp-server@latest"],
      "env": {
        "TESTRAIL_INSTANCE_URL": "https://your-instance.testrail.io",
        "TESTRAIL_USERNAME": "your@email.com",
        "TESTRAIL_API_KEY": "your-api-key"
      }
    }
  }
}

</details>

<details> <summary>🌐 Other MCP Clients</summary>

Any MCP-compliant client can utilize this server. The pattern is universal—point your client at the npx command with the required environment variables. </details>

3. See It in Action

Once configured, turbo-charge your QA workflow by asking your AI assistant:

"List all projects in TestRail to find the latest active project."
"Show me all test cases in section 5 of project 3."
"Create a comprehensive test case for 'Login Validation' with detailed steps."
"Start a new test run containing cases from section 5."
"Mark test case ID 1042 as passed with the comment 'Tested successfully on staging'."

⚙️ Environment Variables

Variable	Description	Required
`TESTRAIL_INSTANCE_URL`	Your TestRail instance URL (e.g., `https://example.testrail.io`)	✅
`TESTRAIL_USERNAME`	Your TestRail user email address	✅
`TESTRAIL_API_KEY`	Your TestRail API key (Guide)	✅
`TESTRAIL_ENABLE_SHARED_STEPS`	Set to `true` to enable Shared Steps management tools

🛠️ Complete Tool Reference

The TestRail MCP Server provides heavily typed, descriptive tools designed specifically for LLM interaction:

🔭 Discovery & Navigation

Tool	Functionality
`get_projects`	List all available active and completed projects in your instance.
`get_sections`	Navigate the precise folder/section hierarchy of any test suite.

📋 Test Case Management

Tool	Functionality
`get_cases`	Query test cases with advanced filtering (priority, template, type, etc.) and pagination.
`get_case`	Fetch complete, structured details of a specific test case, including custom steps and fields.
`add_case`	Seamlessly create a new test case equipped with robust custom field validation.
`update_case`	Modify an existing test case's steps, metadata, or titles.
`update_cases`	Execute bulk-updates on multiple test cases simultaneously to save time.

▶️ Test Execution & Tracking

Tool	Functionality
`add_run`	Generate a new, focused test run directly in TestRail.
`get_tests`	Retrieve individual tests for a specific test run, with optional status filtering.
`add_results`	Submit test results to a test run using the specific `test_id`.
`add_results_for_cases`	Submits results to a run mapping directly to `case_id`s, streamlining automation workflows.
`add_attachment_to_run`	Attach logs, files, or zipped artifacts directly to an ongoing test run.

🔗 Shared Steps (Optional)

Tool	Functionality
`get_shared_steps`	List shared test steps for a project with optional reference filtering.
`get_shared_step`	Retrieve precise details of a specific shared test step set.
`get_shared_step_history`	View the complete audit trail and version history of a shared step set.
`add_shared_step`	Create a new reusable set of shared test steps.
`update_shared_step`	Modify an existing shared step set (changes propagate to all linked test cases).
`delete_shared_step`	Securely delete a shared step entity.

🧠 System Metadata

Tool	Functionality
`get_statuses`	Systematically list all configured test statuses (Passed, Failed, Blocked, Retest, etc.).
`get_priorities`	Retrieve priority levels configured within your instance structure.
`get_case_fields`	Discover custom field definitions, formats, and UI dropdown options. Supports filtering by `project_id`.
`get_templates`	Identify available case templates to mandate correct AI structuring.

🤝 Contributing

Open-source contributions are actively welcomed! Please feel free to open an issue for feature requests or submit a pull request for improvements.

📜 License

This project is securely licensed under the Apache License 2.0.

TestRail MCP Server · Engineered with the <a href="https://modelcontextprotocol.io">Model Context Protocol</a>