302_basic_mcp
@302ai
About 302_basic_mcp
提供搜索/代码运行/计算器/网页解析/网页部署等基本功能。
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"302ai-basic-mcp": {
"command": "npx",
"args": [
"-y",
"@302ai/basic-mcp"
],
"env": {
"302AI_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is 302_basic_mcp?
302_basic_mcp is a Model Context Protocol server that provides a toolkit of fundamental utilities—such as web search, code execution, file parsing, and more—to enhance the capabilities of large language models. It is aimed at developers who want to equip MCP-compatible clients (e.g., Claude Desktop, Cherry Studio, ChatWise) with practical, ready-to-use tools.
How to use 302_basic_mcp?
Install and run via npx -y @302ai/basic-mcp, then configure your MCP client (Claude Desktop, Cherry Studio, or ChatWise) with the provided JSON block, setting your 302AI_API_KEY in the environment variables. The server supports both local stdin mode and a remote HTTP server mode.
Key features of 302_basic_mcp
- Dynamic tool list loaded from a remote server
- Supports stdin (local) and HTTP server (remote) modes
- Includes tools: Wiki Search, Arxiv Search, Calculator, Code Execution, Web Search, File Parser
- Simple npx-based installation with no additional dependencies required
- Compatible with multiple MCP clients (Claude Desktop, Cherry Studio, ChatWise)
Use cases of 302_basic_mcp
- Enable an LLM to perform live web searches during a conversation
- Run calculations or execute code snippets directly through the model
- Search and retrieve academic papers from Arxiv
- Parse and extract content from uploaded files
- Combine multiple basic tools to answer complex, multi-step queries
FAQ from 302_basic_mcp
How do I get the 302AI_API_KEY?
Sign in at https://dash.302.ai/apis/list to create or retrieve your API key. Tutorials are available at https://help.302.ai/en/docs/API-guan-li.
Which MCP clients are supported?
The README provides configuration examples for Claude Desktop, Cherry Studio, and ChatWise. Other clients that support the standard MCP protocol should also work.
What runtime or dependencies are required?
You only need Node.js and npx (bundled with npm). The server runs via npx -y @302ai/basic-mcp, which automatically downloads the package.
How can I debug the server?
Run npm run inspector in the project directory. This starts the MCP Inspector and provides a URL for browser-based debugging tools.
Can the server run as a remote HTTP service?
Yes. The README mentions "Multi modes supported, you can use stdin mode locally, or host it as a remote HTTP server." No configuration details for the HTTP mode are provided beyond that statement.
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