@302ai
基本信息
在302后台自选Tools，快速生成定制的MCP Server。
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"302ai-custom-mcp": {
"command": "npx",
"args": [
"-y",
"@302ai/custom-mcp"
],
"env": {
"302AI_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}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,在临时沙箱中运行此服务器并实时获取工具列表。
302_custom_mcp is a Model Context Protocol (MCP) server that integrates the 302AI API with Claude Desktop. It allows Claude to interact with 302AI services through custom tools. The server is intended for developers who already use the 302AI platform and want to extend Claude’s capabilities.
Install dependencies with npm install, then build the server with npm run build (or use npm run watch for auto-rebuild). To use with Claude Desktop, add the server configuration to claude_desktop_config.json (MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json; Windows: %APPDATA%/Claude/claude_desktop_config.json). Set the command to npx -y @302ai/custom-mcp and provide your 302AI_API_KEY in the env field.
Install dependencies with `npm install`, build with `npm run build`, then add the server config to Claude Desktop’s `claude_desktop_config.json` file. Use the provided JSON snippet with your 302AI API key.
You can obtain your API key from the 302AI dashboard: [https://dash.302.ai/apis/list](https://dash.302.ai/apis/list).
Because MCP servers communicate over stdio, debugging is tricky. Use the MCP Inspector by running `npm run inspector`; it will provide a URL with debugging tools.
Node.js and npm are required to build and run the server. No other external services or runtimes are mentioned in the README.
The server uses the MCP protocol over standard input/output (stdio). Claude Desktop starts the server as a subprocess and communicates via stdin/stdout.
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