经 AI Skill Hub 精选评估,MCP工具:问题跟踪器 获评「推荐使用」。这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 7.5 分,适合有一定技术背景的用户使用。
MCP工具:提供对当前打开问题/PR的可见性,帮助开发者更好地管理项目。
MCP工具:问题跟踪器 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
MCP工具:提供对当前打开问题/PR的可见性,帮助开发者更好地管理项目。
MCP工具:问题跟踪器 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/localden/mcp-repo-data-tracker
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"mcp--------": {
"command": "npx",
"args": ["-y", "mcp-repo-data-tracker"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 MCP工具:问题跟踪器 执行以下任务... Claude: [自动调用 MCP工具:问题跟踪器 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"mcp________": {
"command": "npx",
"args": ["-y", "mcp-repo-data-tracker"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="center"> <img src="static/favicon.svg" alt="VISR" width="96" height="96"> </p>
<p align="center"> Dashboard for monitoring the health of Model Context Protocol open source repositories.<br> <strong>Only public repositories are tracked.</strong> </p>
<p align="center"> <a href="https://github.com/localden/mcp-repo-data-tracker/actions/workflows/aggregate.yml"><img src="https://github.com/localden/mcp-repo-data-tracker/actions/workflows/aggregate.yml/badge.svg" alt="Aggregate Repository Data"></a> <a href="https://github.com/localden/mcp-repo-data-tracker/actions/workflows/deploy.yml"><img src="https://github.com/localden/mcp-repo-data-tracker/actions/workflows/deploy.yml/badge.svg" alt="Deploy to GitHub Pages"></a> <br> <a href="LICENSE"><img src="https://img.shields.io/github/license/localden/mcp-repo-data-tracker?color=blue" alt="License"></a> <img src="https://img.shields.io/badge/Hugo-0.139+-FF4088?logo=hugo&logoColor=white" alt="Hugo"> <img src="https://img.shields.io/badge/Node.js-18+-339933?logo=node.js&logoColor=white" alt="Node.js"> <img src="https://img.shields.io/badge/TypeScript-5.3-3178C6?logo=typescript&logoColor=white" alt="TypeScript"> <img src="https://img.shields.io/github/last-commit/localden/mcp-repo-data-tracker" alt="Last commit"> </p>
---
npm install
npm run build
```bash
```bash hugo --minify
The repository includes a GitHub Actions workflow that automatically: 1. Runs data aggregation every 6 hours 2. Commits updated data to the repository 3. Builds and deploys the Hugo site to GitHub Pages
sudo snap install hugo
sudo apt update sudo apt install -y hugo
npm run aggregate -- [options]
Options:
--dry-run, -n Compute metrics but don't write files
--verbose, -v Enable verbose logging
--owner <name> Repository owner (default: modelcontextprotocol)
--repo <name> Repository name (default: modelcontextprotocol)
--help, -h Show help message
Since the workflow fetches data from external repositories (modelcontextprotocol/modelcontextprotocol and modelcontextprotocol/access), you need a PAT with cross-repo access.
1. Go to GitHub Settings > Developer settings > Personal access tokens > Fine-grained tokens 2. Click "Generate new token" 3. Configure the token: - Token name: MCP Dashboard GitHub Actions - Expiration: 90 days (or longer; you'll need to rotate it when it expires) - Resource owner: Your username - Repository access: Select "Public Repositories (read-only)" - Permissions: No additional permissions needed 4. Click "Generate token" 5. Copy the token
GH_PAT1. Go to your repository's Settings > Pages 2. Under Build and deployment: - Source: GitHub Actions 3. Save
The workflow runs automatically on: - Schedule: Every 6 hours (0 */6 * * *) - Manual trigger: Go to Actions > Aggregate Repository Data > Run workflow
To trigger your first run: 1. Go to the Actions tab 2. Select "Aggregate Repository Data" 3. Click "Run workflow" 4. Select the branch and click "Run workflow"
Set your GitHub token before running the aggregator:
export GITHUB_TOKEN=ghp_your_token_here
Make sure you're running Hugo from the repository root directory where hugo.toml is located.
The workflow requires these permissions (already configured in aggregate.yml): - contents: write - To commit data file updates - pages: write - To deploy to GitHub Pages - id-token: write - For GitHub Pages deployment authentication
GH_PAT secret is set in repository settings该项目提供了一个简单易用的问题跟踪器,帮助开发者更好地管理项目,但功能有限。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
AI Skill Hub 点评:MCP工具:问题跟踪器 的核心功能完整,质量良好。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | mcp-repo-data-tracker |
| 原始描述 | 开源MCP工具:Tracker that gives visibility into the issues/PRs that are currently open in the。⭐6 · HTML |
| Topics | mcphtml |
| GitHub | https://github.com/localden/mcp-repo-data-tracker |
| License | MIT |
| 语言 | HTML |
收录时间:2026-05-28 · 更新时间:2026-05-30 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端