What are the prerequisites for running NexusHub?
You need Docker and Docker Compose, Node.js 18+, and Python 3.8+ (for vector embedding).
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基本信息
NexusHub is a powerful Model Context Protocol (MCP) server that functions as a central connection point for AI workflows and tool integration.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"nexushub": {
"type": "http",
"url": "http://localhost:8001/mcp"
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,直接连接服务器端点实时获取工具列表。
NexusHub is a Model Context Protocol (MCP) server that acts as a bridge between Claude AI and external services, providing filesystem, database, vector search, GitHub, and Brave Search capabilities. It is designed for users of Claude Desktop who want to extend Claude's capabilities with a unified set of tools.
Clone the repository, copy .env.example to .env and fill in API keys, then run docker-compose up -d. Configure Claude Desktop by adding the server to claude_desktop_config.json in either HTTP mode (using url) or STDIO mode (using command pointing to the wrapper script). Access the dashboard at http://localhost:8001/dashboard.
You need Docker and Docker Compose, Node.js 18+, and Python 3.8+ (for vector embedding).
Add the server definition to your `claude_desktop_config.json` using either HTTP mode (set `url` to `http://localhost:8001/mcp`) or STDIO mode (set `command` to the path of `nexushub-mcp.sh`).
Create tool definitions in `/src/mcp/tools/` following the provided JavaScript example, then register them in `index.js` and `handler.js`.
NexusHub supports both HTTP and stdio MCP protocols, with STDIO recommended for better performance and reliability.
Data is stored locally via the integrated vector store and database. NexusHub runs several Docker containers (Brave Search, GitHub, Memory) that must be started before use.
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