About 302_basic_mcp
302_basic_mcp provides LLMs with search, calculation, code execution, and file parsing tools. It is intended for tasks that need these capabilities and supports dynamically updating its tool list, with local stdin and remote HTTP modes.
Key features
- 01Wiki and Arxiv search
- 02Web search
- 03Calculator and code execution
- 04File parsing and webpage upload
- 05Dynamic tool-list updates
- 06Local and remote modes
Use cases
- 01Find encyclopedia and research material
- 02Run calculations and code
- 03Parse files or upload webpages
MCP support
This MCP server exposes search, calculator, code execution, file parsing, and webpage upload tools to MCP clients. The README describes configuration for Claude Desktop, Cherry Studio, and ChatWise.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README🤖 302AI Basic MCP Server🚀✨
302AI Basic Tools is a toolkit for enhancing the fundamental capabilities of large language models.

Previews
Here are some usage examples


Here is the list of supported tools

✨ Features ✨
- 🔧 Dynamic Loading - Automatically update tool list from remote server.
- 🌐 Multi modes supported, you can use
stdinmode locally, or host it as a remote HTTP server
🚀 Tool List
- Wiki Search
- Arxiv Search
- Calculator
- Code Execution
- Web Search
- File Parser
- Upload webpage
Development
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Installation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"302ai-basic-mcp": {
"command": "npx",
"args": ["-y", "@302ai/basic-mcp"],
"env": {
"302AI_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
To use with Cherry Studio, add the server config:
{
"mcpServers": {
"Li2ZXXJkvhAALyKOFeO4N": {
"name": "302ai-basic-mcp",
"description": "",
"isActive": true,
"registryUrl": "",
"command": "npx",
"args": [
"-y",
"@302ai/basic-mcp"
],
"env": {
"302AI_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
To use with ChatWise, copy the following content to clipboard
{
"mcpServers": {
"302ai-sandbox-mcp": {
"command": "npx",
"args": ["-y", "@302ai/basic-mcp"],
"env": {
"302AI_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
Go to Settings -> Tools -> Add button -> Select Import from Clipboard

Find Your 302AI_API_KEY here
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
✨ About 302.AI ✨
302.AI is an enterprise-oriented AI application platform that offers pay-as-you-go services, ready-to-use solutions, and an open-source ecosystem.✨
- 🧠 Integrates the latest and most comprehensive AI capabilities and brands, including but not limited to language models, image models, voice models, and video models.
- 🚀 Develops deep applications based on foundation models - we develop real AI products, not just simple chatbots
- 💰 Zero monthly fee, all features are pay-per-use, fully open, achieving truly low barriers with high potential.
- 🛠 Powerful management backend for teams and SMEs - one person manages, many people use.
- 🔗 All AI capabilities provide API access, all tools are open source and customizable (in progress).
- 💡 Strong development team, launching 2-3 new applications weekly, products updated daily. Developers interested in joining are welcome to contact us.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
