index.js

const fs = require('fs');
const path = require('path');
const axios = require('axios');

// MCP Server Functions
async function generateImage(prompt, params = {}) {
  const url = `https://image.pollinations.ai/${encodeURIComponent(prompt)}?${new URLSearchParams(params).toString()}`;
  const response = await axios.get(url, { responseType: 'arraybuffer' });
  return Buffer.from(response.data).toString('base64');
}

async function generateText(prompt, model = 'openai') {
  const url = `https://text.pollinations.ai/${encodeURIComponent(prompt)}?model=${model}`;
  const response = await axios.get(url);
  return response.data;
}

async function downloadImage(url, filename) {
  const response = await axios.get(url, { responseType: 'arraybuffer' });
  fs.writeFileSync(filename, response.data);
  return `Image saved to ${filename}`;
}

// STDIO Listener for MCP
process.stdin.resume();
process.stdin.setEncoding('utf8');

let input = '';
process.stdin.on('data', chunk => {
  input += chunk;
});

process.stdin.on('end', () => {
  const request = JSON.parse(input);
  let result;
  switch (request.tool) {
    case 'generate_image':
      result = generateImage(request.prompt, request.params);
      break;
    case 'generate_text':
      result = generateText(request.prompt, request.model);
      break;
    case 'download_image':
      result = downloadImage(request.url, request.filename);
      break;
    default:
      result = { error: 'Unknown tool' };
  }
  console.log(JSON.stringify(result));
});

// For HTTP mode (optional for HF)
const http = require('http');
const server = http.createServer((req, res) => {
  res.writeHead(200, { 'Content-Type': 'text/plain' });
  res.end('Pollinations MCP Server Running');
});
server.listen(7860, () => {
  console.log('Server listening on port 7860');
});