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FogBugz MCP Server

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FogBugz MCP 服务器

模型上下文协议 (MCP) 服务器，用于通过语言学习模型 (LLM)（例如 Claude）与 FogBugz 进行交互。

概述

该服务器允许 LLM 对 FogBugz 执行各种操作，包括：

  • 创建带有可选附件的新问题/案例

  • 更新现有案例（更改项目、领域、里程碑、优先级）

  • 将案例分配给特定用户

  • 列出用户的未结案件

  • 获取具体案例的直接链接

  • 按不同标准搜索案例

该服务器实现了模型上下文协议 (MCP)规范，允许任何与 MCP 兼容的 LLM 客户端使用它。

Related MCP server: Jira MCP Server

项目背景

该项目是在OpenAI 的 o3-mini-high 模型的帮助下启动的，该模型生成了一份全面的开发计划（请参阅代码库中的 DEVELOPMENT-PLAN.md）。该计划概述了使用 TypeScript 构建 FogBugz MCP 服务器的架构、工具和实现细节。

这份详细的规范为开发团队提供了蓝图，展示了人工智能如何在项目设计和规划的早期阶段有效辅助。该项目既是人工智能辅助开发的典范，也是通过MCP协议增强人工智能能力的工具。

安装

# Install from npm
npm install -g fogbugz-mcp

# Or use directly with npx
npx fogbugz-mcp <fogbugz-url> <api-key>

用法

基本用法

# Run with command line arguments
fogbugz-mcp https://yourcompany.fogbugz.com your-api-key

# Or use environment variables
export FOGBUGZ_URL=https://yourcompany.fogbugz.com
export TEST_FOGBUGZ_API_KEY=your-api-key
fogbugz-mcp

发展

# Clone the repository
git clone https://github.com/yourusername/fogbugz-mcp.git
cd fogbugz-mcp

# Install dependencies
npm install

# Create a .env file with your FogBugz credentials
echo "FOGBUGZ_URL=https://yourcompany.fogbugz.com" > .env
echo "TEST_FOGBUGZ_API_KEY=your-api-key" >> .env

# Run API explorer to test FogBugz API
npm run explore

# Run the development version of the server
npm run dev

# Run tests
npm test

# Build the project
npm run build

API 浏览器

该项目包括一个 API 探索工具，用于直接测试 FogBugz API 端点：

# Run all API tests
npm run explore

# Run a specific test (by index)
npm run explore 0  # Run the first test

MCP 工具

该服务器为 LLM 提供以下 MCP 工具：

  • fogbugz_create_case - 创建一个新的 FogBugz 案例

  • fogbugz_update_case - 更新现有案例的字段

  • fogbugz_assign_case - 将案例分配给特定用户

  • fogbugz_list_my_cases - 列出分配给特定用户的案例

  • fogbugz_search_cases - 使用查询字符串搜索案例

  • fogbugz_get_case_link - 获取特定案例的直接链接

执照

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