Qase MCP Server
Q

Qase MCP Server

The Qase MCP Server is a service integrated with the Qase test management platform, providing functions such as test case creation, retrieval, and test execution management.
2.5 points
10.1K

What is the Qase MCP Server?

The Qase MCP Server is a middleware service that allows users to interact with the Qase test management platform through a standardized protocol. It simplifies operations such as test case management and test execution creation without directly calling the Qase API.

How to use the Qase MCP Server?

By configuring the MCP client and sending requests in JSON format, various test management operations can be performed. The Qase API token and project information need to be set in advance.

Applicable scenarios

Suitable for teams that need to automate the test management process, especially in scenarios where test management functions are integrated into the CI/CD pipeline.

Main features

Get the list of projects
View all Qase projects that the user has access to
Test case management
Create, view, and manage test cases in bulk
Test suite management
Create and organize the test suite structure
Test execution management
Create and manage test execution plans
Advantages
Simplify the complex calls to the Qase API
Provide a standardized test management interface
Support bulk operations to improve efficiency
Easy to integrate into the automation process
Limitations
Need to maintain additional service components
Functions are limited by the capabilities of the Qase API
Require a valid API token to use

How to use

Environment preparation
Install Node.js v23.5.0 or higher and obtain the Qase API token
Service installation
Install the dependency packages via npm and build the project
Configure the MCP client
Add the Qase MCP server configuration to cline_mcp_settings.json
Send requests
Send requests in JSON format via the MCP client to perform operations

Usage examples

Get the test cases of a project
View all the test cases in the DEMO project
Create test cases in bulk
Create multiple test cases for the login function

Frequently Asked Questions

How to obtain the Qase API token?
Why can't I get the test cases?
Which versions of the Qase API are supported?

Related resources

Qase official documentation
Complete reference documentation for the Qase API
GitHub repository
Project source code and issue tracking
MCP protocol specification
Detailed description of the Model Context Protocol

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "qase": {
      "command": "node",
      "args": ["path/to/qase-mcp-server/build/index.js"],
      "env": {
        "QASE_API_TOKEN": "your-api-token"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}
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
10.0K
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
10.8K
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
16.3K
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
8.2K
4 points
P
Paperbanana
Python
10.5K
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
10.1K
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
9.5K
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
9.6K
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
28.2K
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
39.2K
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
24.8K
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
83.0K
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#
39.1K
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
72.6K
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
58.2K
4.8 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
109.7K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase