bash
git clone https://github.com/BrowserMCP/mcp.git
cd mcp

bash
npm install

json
{
  "mcpServers": {
    "server-name": {
      "command": "node",
      "args": ["path/to/server.js"]
    }
  }
}

bash
npm start

json
{
  "mcpServers": {
    "tool-name": {
      "command": "npx",
      "args": ["-y", "package-name"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

bash
export API_KEY="your-api-key"
export DEBUG="true"

json
{
  "mcpServers": {
    "example-mcp": {
      "command": "node",
      "args": ["server.js"],
      "env": {
        "PORT": "3000",
        "LOG_LEVEL": "info"
      }
    }
  }
}

json
{
  "mcpServers": {
    "advanced-mcp": {
      "command": "python",
      "args": ["-m", "server"],
      "cwd": "/path/to/server",
      "env": {
        "PYTHONPATH": "/path/to/modules",
        "CONFIG_FILE": "/path/to/config.json"
      }
    }
  }
}

   Available tools from this MCP server:
   - tool1: Description of tool1
   - tool2: Description of tool2
   

javascript
// JavaScript example (Node.js)
const { MCPClient } = require('@modelcontextprotocol/client');

const client = new MCPClient();
await client.connect();

// Execute tool
const result = await client.callTool('toolName', {
  parameter1: 'value1',
  parameter2: 'value2'
});

console.log(result);

bash
#!/bin/bash
Batch processing example

for file in *.txt; do
  mcp-tool process "$file"
done

python
Python example
import requests
import json

def call_mcp_tool(tool_name, params):
    response = requests.post(
        'http://localhost:3000/mcp/call',
        json={
            'tool': tool_name,
            'parameters': params
        }
    )
    return response.json()

Usage example
result = call_mcp_tool('analyze', {
    'input': 'sample data',
    'options': {'format': 'json'}
})