tuskr-mcp-server

tuskr-mcp-server

Enables interaction with the Tuskr test management API through MCP, supporting account ID and access token authentication for managing test cases, runs, and projects.

Category
访问服务器

README

tuskr-mcp-server

Implements a Model Context Protocol (MCP) server for the Tuskr REST API

Built on the FastMCP Python SDK.
Supports access token authentication.

Installation

Environment variables / .env file

Set up environment variables or configure the .env file using the .env.example template.

The following environment variables are supported:

TUSKR_ACCOUNT_ID=<your account id>
TUSKR_ACCESS_TOKEN=<your access token>

(this doc desc https://tuskr.app/kb/latest/api)

and optionally

MCP_TRANSPORT=<transport type: http or stdio>
MCP_HOST=<host for HTTP transport>
MCP_PORT=<port for HTTP transport>

Command Line Parameters

The MCP server supports the following command line parameters:

  • --transport: Transport type for the MCP server. Options: http (default) or stdio
  • --host: Host address for HTTP transport (default: 0.0.0.0)
  • --port: Port number for HTTP transport (default: 8000)

Note: The --host and --port parameters are only applicable when using the http transport.

Default Values

  • Transport: http (can be overridden with MCP_TRANSPORT environment variable)
  • Host: 0.0.0.0 (can be overridden with MCP_HOST environment variable)
  • Port: 8000 (can be overridden with MCP_PORT environment variable)

Connect from client

HTTP Transport (Default)

Use the following template to connect the server via HTTP:

{
  "mcpServers": {
    "tuskr": {
      "transport": "http",
      "url": "http://<your-mcp-dns-or-ip>/mcp/",
      "headers": {
        "Authorization": "Bearer <your access token>",
        "Account-ID": "<your-tuskr-account-id>"
      }
    }
  }
}

The Authorization is mandatory.

The Account-ID is not required and can be set on the server side using the TUSKR_ACCOUNT_ID env variable. It's convenient in case you have single MCP Server for organization.

stdio Transport (for local development)

For local development and integration with tools like uvx, use the stdio transport:

{
  "mcpServers": {
    "tuskr": {
      "transport": "stdio",
      "command": "uvx",
      "args": ["tuskr-mcp-server", "--transport", "stdio"]
    }
  }
}

or use uv with source code:

{
  "mcpServers": {
    "tuskr": {
      "transport": "stdio",
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/your/tuskr-mcp-server",
        "run",
        "src/main.py",
        "--transport",
        "stdio"
      ]
    }
  }
}

Development

Setup

  1. Clone repo
  2. Install development dependencies: uv sync --dev
  3. Create .env from .env.example

Running MCP service

HTTP Transport (Default)

uv run --env-file .env src/main.py

stdio Transport (for local development)

uv run --env-file .env src/main.py --transport stdio

Custom Host/Port

uv run --env-file .env src/main.py --host 127.0.0.1 --port 9000

Running tests

The project uses pytest for testing. The following command will run all tests

uv run pytest -vsx

Running linters

The project uses the ruff tool as a linter.

The following command allows to run linter

uv run ruff check

and this command allow to fix formatting

uv run ruff format

Dockerization

The following command allows to build a docker image

docker build -t tuskr-mcp .

and then you can run it using the

docker run -it tuskr-mcp

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选