What are the dependencies and runtime requirements?
The server requires Node.js and npm. It uses TypeScript and the `@modelcontextprotocol/sdk` package.
@hnegishi
基本信息
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使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"component-mcp-server": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"node",
"./dist/index.js"
]
}
}
}コンポーネントを検索し、その名前とパスを取得します。
コンポーネントのソースコードを取得します。
Component MCP Server is an MCP server that searches for components in a local repository and retrieves component information (name, path, source code). It is designed for developers who want to integrate component discovery into AI assistants via the Model Context Protocol.
npm install. 2. Create a .env file with COMPONENTS_PATH pointing to the repository’s components directory. 3. Build the server: npm run build. 4. Configure in VSCode with command: "node", args: ["./build/index.js"], and the COMPONENTS_PATH environment variable.The server requires Node.js and npm. It uses TypeScript and the `@modelcontextprotocol/sdk` package.
Components are read from a local repository directory specified in the `COMPONENTS_PATH` environment variable. No external database is used.
It provides two tools: `searchComponents` (search by name, returns paths) and `getComponentInfo` (returns the component’s source code).
Add a server entry with `command: "node"`, `args: ["./build/index.js"]`, and an `env` object containing `COMPONENTS_PATH` set to your components directory.
The server uses standard input/output (stdio) transport as configured in the VSCode example. No authentication is mentioned.
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