302_custom_mcp

Name: 302_custom_mcp
Author: 302ai

@302ai

リポジトリ

302_custom_mcp について

在302后台自选Tools，快速生成定制的MCP Server。

#custom-mcp #server #302ai

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

302ai

投稿者

Jomy Wu

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "302ai-custom-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@302ai/custom-mcp"
      ],
      "env": {
        "302AI_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is 302_custom_mcp?

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.

How to use 302_custom_mcp?

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.

Key features of 302_custom_mcp

Integrates 302AI API with Claude Desktop
Uses npx for zero‑install execution
Supports MCP stdio transport
Requires API‑key authentication
Provides debugging via MCP Inspector

Use cases of 302_custom_mcp

Enabling Claude to access 302AI services
Building custom AI‑powered workflows with 302AI
Experimenting with the Model Context Protocol using a real API

FAQ from 302_custom_mcp

How do I install and configure 302_custom_mcp?

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.

Where can I get my 302AI_API_KEY?

You can obtain your API key from the 302AI dashboard: https://dash.302.ai/apis/list.

How do I debug the server?

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.

What system dependencies are required?

Node.js and npm are required to build and run the server. No other external services or runtimes are mentioned in the README.

How does the server communicate with Claude Desktop?

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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