devhub-mcp
MCP server for OpenDev Gitea and Gerrit APIs, enabling repository browsing, code review, and change management for LLM agents.
README
DevHub MCP Server
Unified MCP gateway. All developer tools exposed as a single MCP stdio endpoint via Docker.
Architecture
main.py — Master gateway (single MCP stdio process)
mcp_servers/
middleware.py — Aggregates local sub-server tools into hub
proxy.py — Proxies remote MCP servers into hub
gerrit.py — OpenDev/Gerrit (direct API, runs standalone too)
jenkins.py — Jenkins CI (direct API, runs standalone too)
Tool Sources
| Source | Tools | Method |
|---|---|---|
| Gerrit/Gitea | 21 | Direct API calls |
| Jenkins | 17 | Direct API calls |
| Confluence | 11 | Proxied from remote MCP server |
| Jira | 19 | Proxied from remote MCP server |
| Excalidraw | 5 | Proxied from remote MCP server |
| healthz | 1 | Built-in |
| Total | 74 |
Secrets
All secrets stored in ~/.secrets and sourced into shell:
# ~/.secrets
export GERRIT_USER="your-user"
export GERRIT_HTTP_PASSWORD="your-pass"
export JENKINS_URL="http://jenkins.example.com/"
export JENKINS_USER="your-user"
export JENKINS_API_TOKEN="your-token"
Source before use: source ~/.secrets
No secrets needed for Confluence, Jira, or Excalidraw — they're proxied from public MCP endpoints that handle their own auth.
Quick Start
source ~/.secrets
make build
make test-docker
Makefile
make build # Build Docker image
make run # Run gateway (stdio)
make up # docker compose up -d
make down # docker compose down
make test # Tests locally
make test-docker # Tests in container
make healthz # Health check
make lint # Lint all files
make clean # Remove image
make help # Show targets
MCP Client Config
Kiro (~/.kiro/settings/mcp.json)
{
"mcpServers": {
"gateway": {
"command": "docker",
"args": ["compose", "-f", "/path/to/docker-compose.yml", "run", "--rm", "-i", "gateway"],
"env": {
"GERRIT_USER": "${GERRIT_USER}",
"GERRIT_HTTP_PASSWORD": "${GERRIT_HTTP_PASSWORD}",
"JENKINS_URL": "${JENKINS_URL}",
"JENKINS_USER": "${JENKINS_USER}",
"JENKINS_API_TOKEN": "${JENKINS_API_TOKEN}"
},
"type": "stdio",
"timeout": 120000
}
}
}
Adding a New Sub-Server
Local (direct API):
- Create
mcp_servers/myservice.pywithmcp = FastMCP("myservice")and@mcp.tool()functions - In
main.py:load_subserver(hub_mcp, myservice_mcp, namespace="myservice")
Remote (proxy from existing MCP server):
- In
main.py, add URL toREMOTE_SERVERSdict - That's it — tools are discovered and proxied automatically
Standalone Mode
Each local sub-server runs independently:
python mcp_servers/gerrit.py
python mcp_servers/jenkins.py
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。