bash
git clone https://github.com/adamwattis/mcp-proxy-server
cd mcp-proxy-server

bash
npm install

json
{
  "mcpServers": {
    "mcp-proxy": {
      "command": "/path/to/mcp-proxy-server/build/index.js",
      "env": {
        "MCP_CONFIG_PATH": "/absolute/path/to/your/config.json",
        "KEEP_SERVER_OPEN": "1"
      }
    }
  }
}

bash
npm start

json
{
  "mcpServers": {
    "mcp-proxy": {
      "command": "/path/to/mcp-proxy-server/build/index.js",
      "env": {
        "MCP_CONFIG_PATH": "/absolute/path/to/your/config.json",
        "KEEP_SERVER_OPEN": "1"
      }
    }
  }
}

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

json
{
  "servers": [
    {
      "name": "Server 1",
      "transport": {
        "command": "/path/to/server1/build/index.js"
      }
    }
  ]
}

   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'}
})