mcp-server-github-trend
Provides tools for discovering and evaluating GitHub repositories, including repository metadata, health scoring, comparison, trending reports, issues, releases, contributors, languages, and user profiles.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-server-github-trendScore the health of facebook/react"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-server-github-trend
🚀 一个基于 Python 的 MCP 超级智能体:自动发现、分析、规划并部署开源项目来解决用户问题。
English | 中文
简介
本项目是一个 Model Context Protocol (MCP) 服务器,它不仅仅是一个 GitHub 趋势查看器,更是一个能够理解用户意图、自动检索开源项目、分析项目健康状况、生成部署方案,并可在沙箱中安全执行的开源超级智能体。
核心能力
意图理解:从自然语言问题中提取目标、约束、技术栈和紧急程度
多源发现:搜索 GitHub 仓库、话题、用户、Issue
仓库智能分析:多维度健康评分、README 摘要、技术栈检测、风险标记
方案规划:根据用户需求生成可执行的部署/集成计划
安全执行:在受控工作目录中执行允许列表内的命令
可观测性:结构化日志、Prometheus 指标、可选的 FastAPI 仪表盘
多级缓存:支持内存、磁盘、Redis 三种缓存后端
中英双语:所有输出支持中文与英文切换
Related MCP server: RepoCrunch
快速开始
安装
pip install -e ".[all]"配置
创建 .env 文件(可选,未配置时部分 GitHub API 调用受速率限制):
OSS_AGENT_GITHUB_TOKEN=ghp_xxxxxxxx作为 MCP 服务器使用
在 Claude Desktop、Cursor 或其他支持 MCP 的客户端中配置:
{
"mcpServers": {
"github-trend": {
"command": "mcp-oss-agent",
"args": ["serve"],
"env": {
"OSS_AGENT_GITHUB_TOKEN": "ghp_xxxxxxxx"
}
}
}
}CLI 使用
# 查看帮助
mcp-oss-agent --help
# 搜索仓库
mcp-oss-agent search "python web framework" --language python --per-page 10
# 分析仓库
mcp-oss-agent analyze jankoli mcp-server-github-trend
# 让智能体帮你解决问题
mcp-oss-agent solve "部署一个 Python 后端服务" --output-lang zh
# 启动 Web 仪表盘
mcp-oss-agent web --host 127.0.0.1 --port 8080MCP 工具清单
工具名 | 说明 |
| 按关键词、语言或话题搜索 GitHub 仓库 |
| 获取指定仓库的详细元数据 |
| 对仓库进行深度健康与风险评估 |
| 获取并解码仓库 README |
| 发现近期创建的流行仓库 |
| 列出用户或组织的近期仓库 |
| 搜索 GitHub Issue 与 Pull Request |
| 理解用户问题,发现候选项目并生成方案 |
| 对比多个仓库的健康与风险 |
| 查看当前 GitHub API 速率限制 |
架构
flowchart TB
User[用户请求]
Intent[意图理解引擎]
Discovery[GitHub 发现层]
Analyzer[仓库分析引擎]
Planner[方案规划器]
Executor[安全执行器]
Cache[(多级缓存)]
Metrics[指标与日志]
User --> Intent
Intent --> Discovery
Discovery --> Cache
Discovery --> Analyzer
Analyzer --> Planner
Planner --> Executor
Executor --> Metrics项目结构
src/mcp_server_github_trend/
├── __init__.py
├── __main__.py
├── server.py # MCP 服务器入口
├── cli.py # Typer 命令行接口
├── web.py # FastAPI 仪表盘
├── config.py # Pydantic 配置
├── models.py # Pydantic 领域模型
├── github_client.py # 异步 GitHub REST 客户端
├── analyzer.py # 仓库健康分析引擎
├── intent.py # 意图理解引擎
├── planner.py # 方案规划引擎
├── executor.py # 安全命令执行器
├── cache/ # 内存 / 磁盘 / Redis 缓存
└── utils/ # 日志、重试、国际化配置项
所有配置均支持环境变量(前缀 OSS_AGENT_):
环境变量 | 默认值 | 说明 |
| - | GitHub Personal Access Token |
|
| 缓存后端: |
|
| 缓存 TTL(秒) |
|
| 是否允许执行命令 |
|
| 允许执行的命令前缀 |
|
| 是否启用 Web 仪表盘 |
|
| 默认输出语言: |
开发
# 安装开发依赖
pip install -e ".[dev]"
# 运行测试
pytest tests/ -q
# 代码检查
ruff check src tests
ruff format --check src tests
mypy src
# 构建
python -m build许可证
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Maintenance
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