MCP Testrail
M

MCP Testrail

The TestRail MCP Server provides tools for interacting with TestRail, supporting direct management of test cases, projects, suites, and runs through MCP clients such as Claude AI.
2 points
10.2K

What is TestRail MCP Server?

TestRail MCP Server is a middleware that connects to the TestRail test management system. It allows users to interact directly with TestRail through an AI assistant (such as Claude) or a client that supports the MCP protocol (such as Cursor), enabling test management tasks to be completed without switching applications.

How to use TestRail MCP Server?

Simply configure the MCP client connection information, and you can start managing test projects, cases, and run results in TestRail using natural language commands. The system will automatically handle API calls and response conversions.

Applicable scenarios

Suitable for test teams to improve work efficiency when writing test cases, planning test runs, and recording test results. Particularly suitable for agile development environments that require frequent interaction with the test management system.

Main features

Project management
View and obtain project information in TestRail
Test suite management
Add, update, and query test suites
Test case management
Comprehensive test case operations, including adding, updating, deleting, moving, and copying
Test run management
Create and update test runs, and obtain run details
Test result recording
Add results for test cases, supporting batch operations
Advantages
Perform TestRail operations without leaving the AI conversation interface
Support natural language interaction, reducing the usage threshold
Automatically handle API call details, simplifying the integration process
Automatically update via npx, eliminating the need for manual maintenance
Limitations
Requires a Node.js runtime environment
Long conversations may cause performance issues; pagination parameters need to be used
Some advanced functions still need to be completed through the native TestRail interface

How to use

Install Node.js
Ensure that the Node.js runtime environment is installed on the system
Configure the MCP client
Add TestRail server connection information to the MCP client configuration file
Start using
Interact with TestRail using natural language commands in a supported client

Usage examples

Query test cases
Get all test cases under a specific project
Record test results
Add pass/fail results for cases in a test run
Create a regression test suite
Create a new test suite based on existing cases

Frequently asked questions

What should I do if I get the 'spawn node ENOENT' error?
How to solve the 'ECONNREFUSED' (connection refused) error?
Why is the response slow when getting test cases?
How to update to the latest version?

Related resources

TestRail official API documentation
Complete reference documentation for the TestRail API
Model Context Protocol SDK
TypeScript implementation of the MCP protocol
TestRail MCP Server source code
npm package page for this project

Installation

Copy the following command to your Client for configuration
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
4.9K
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
5.4K
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
5.2K
4 points
P
Paperbanana
Python
6.4K
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
6.1K
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
7.7K
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
21.5K
4.5 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
34.5K
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
24.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.5K
4.3 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#
31.3K
5 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
64.6K
4.5 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
21.1K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
97.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase