Testrail MCP
T

Testrail MCP

The TestRail MCP Server is an interface service based on the Model Context Protocol, enabling standardized interaction with the TestRail test management system.
2.5 points
7.0K

What is TestRail MCP Server?

TestRail MCP Server is a middleware service based on the Model Context Protocol (MCP). It allows you to interact with the TestRail test management system through natural language or standardized commands. This service simplifies complex API calls into intuitive operation instructions, making it particularly suitable for testers and developers who need to frequently view and manage test cases and test results.

How to use TestRail MCP Server?

You can connect to this service by installing an MCP client (such as Claude Desktop, Cursor, or Windsurf). After connecting, you can directly query the status of test projects, view test cases, or submit test results, as simple as having a conversation with an intelligent assistant.

Use cases

1. Quickly query test progress 2. View test cases in batches 3. Automatically submit test results 4. Integrate with CI/CD processes 5. Analyze test data and generate reports

Main features

TestRail authentication integration
Supports secure connection to your TestRail instance via API key
Full entity access
Allows operations on core test management objects such as Projects, Cases, Runs, and Results
Full MCP protocol support
Compatible with all standard MCP clients, providing a consistent interaction experience
Test dataset management
Supports creating and managing test datasets for parameterized testing
Advantages
No need to memorize complex APIs; operate TestRail using natural language
Compatible with multiple MCP clients, offering flexible choices
Simplify the test management process and improve work efficiency
Support integration with automation scripts
Limitations
Requires TestRail Enterprise Edition or Cloud Edition support
API key is required for initial configuration
Some advanced features require specific TestRail permissions

How to use

Install the service
Can be installed with one click via Smithery or manually
Configure the connection
Set the TestRail instance URL and API key
Start the service
Run the service and connect to the MCP client
Client configuration
Add server configuration in your preferred MCP client

Usage examples

Query test progress
Quickly check the completion status of each test project before the daily stand-up meeting
Batch update test results
Submit results in batches after automated testing is completed
Search for test cases
Quickly locate test cases for specific functions

Frequently Asked Questions

How to obtain a TestRail API key?
Which MCP clients are supported?
What if the service fails to start?
Can I connect to multiple TestRail instances simultaneously?

Related resources

TestRail official documentation
Official reference documentation for the TestRail API
MCP protocol specification
Official specification of the Model Context Protocol
Octomind MCP demonstration video
Demonstration video of the integration of TestRail MCP and Octomind
GitHub repository
Project source code and issue tracking

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "testrail": {
      "command": "uvx",
      "args": [
        "testrail-mcp"
      ],
      "env": {
        "TESTRAIL_URL": "https://your-instance.testrail.io",
        "TESTRAIL_USERNAME": "your-email@example.com",
        "TESTRAIL_API_KEY": "your-api-key"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
4.6K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.2K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
4.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.2K
4 points
P
Paperbanana
Python
6.3K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
5.9K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.6K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
6.7K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.6K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.5K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.4K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.1K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.6K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.3K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
49.1K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase