generate-mcp-config.js•7.26 kB
#!/usr/bin/env node
import fs from 'fs';
import readline from 'readline';
// Create readline interface for user input
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout
});
// Default configuration template (MCP-friendly). All configurable values live in `env`.
const defaultConfig = {
"mcpollinations": {
"command": "npx",
"args": [
"-y",
"@pinkpixel/mcpollinations"
],
"env": {
// Auth (optional)
"token": "",
"referrer": "",
// Defaults used by the server when tool args are omitted
"IMAGE_MODEL": "flux",
"IMAGE_WIDTH": "1024",
"IMAGE_HEIGHT": "1024",
"IMAGE_SAFE": "false",
"IMAGE_ENHANCE": "true",
"TEXT_MODEL": "openai",
"TEXT_TEMPERATURE": "0.7",
"TEXT_TOP_P": "0.9",
"TEXT_SYSTEM": "",
"AUDIO_VOICE": "alloy",
// Default output directory for saved files
"OUTPUT_DIR": "./mcpollinations-output"
}
}
};
// Function to prompt user for input
function prompt(question) {
return new Promise((resolve) => {
rl.question(question, (answer) => {
resolve(answer);
});
});
}
// Function to prompt user for yes/no input
async function promptYesNo(question, defaultYes = true) {
const defaultOption = defaultYes ? 'Y/n' : 'y/N';
const response = await prompt(`${question} (${defaultOption}): `);
if (response === '') return defaultYes;
return response.toLowerCase() === 'y';
}
// Function to generate the MCP configuration
async function generateMcpConfig() {
console.log('MCPollinations MCP Configuration Generator');
console.log('=========================================');
console.log('This tool will help you create an MCP configuration file for the MCPollinations server.');
console.log('You can use this configuration with any application that supports the Model Context Protocol.');
console.log('');
// Ask for configuration options
const useDefaults = await promptYesNo('Use default configuration?');
let config = JSON.parse(JSON.stringify(defaultConfig)); // Deep copy
if (!useDefaults) {
console.log('\nCustomizing configuration:');
const configKey = 'mcpollinations';
// Resources customization
console.log('\nResource Directories:');
console.log('Note: Using relative path (starting with "./") is recommended for portability.');
console.log('Windows users may prefer absolute paths.');
console.log('These directories will be created automatically if they don\'t exist.');
const outputDir = await prompt(`Output directory for saved files (default: "${config[configKey].env.OUTPUT_DIR}"): `);
if (outputDir) {
config[configKey].env.OUTPUT_DIR = outputDir;
}
// Authentication configuration
console.log('\nAuthentication Configuration (Optional):');
console.log('These env settings enable access to newer models and higher rate limits.');
console.log('Leave empty to use the free (seed) tier.');
const authToken = await prompt('API Token (optional): ');
if (authToken && authToken.trim()) {
config[configKey].env.token = authToken.trim();
}
const authReferrer = await prompt('Referrer (domain or app id, optional): ');
if (authReferrer && authReferrer.trim()) {
config[configKey].env.referrer = authReferrer.trim();
}
// Default parameters customization
console.log('\nDefault Parameters:');
// Image parameters
console.log('\nImage Generation Parameters:');
const customizeImage = await promptYesNo('Customize image generation parameters?', false);
if (customizeImage) {
console.log('Available image models: "flux", "turbo", "kontext", "nanobanana", "seedream". Use the listImageModels tool to see the most recent model list');
const imageModel = await prompt('Default image model (default: "flux"): ');
if (imageModel) config[configKey].env.IMAGE_MODEL = imageModel;
const imageWidth = await prompt('Default image width (default: 1024): ');
if (imageWidth) config[configKey].env.IMAGE_WIDTH = String(parseInt(imageWidth));
const imageHeight = await prompt('Default image height (default: 1024): ');
if (imageHeight) config[configKey].env.IMAGE_HEIGHT = String(parseInt(imageHeight));
const imageSafe = await promptYesNo('Enable safe mode for images? (default: false)', false);
config[configKey].env.IMAGE_SAFE = imageSafe ? 'true' : 'false';
const imageEnhance = await promptYesNo('Enable prompt enhancement using LLM before image generation?', true);
config[configKey].env.IMAGE_ENHANCE = imageEnhance ? 'true' : 'false';
}
// Text parameters
console.log('\nText Generation Parameters:');
const customizeText = await promptYesNo('Customize text generation parameters?', false);
if (customizeText) {
console.log('Some generally available text models: "openai", "openai-large", "openai-reasoning". Model choices change frequently - use the listTextModels tool to see all models');
const textModel = await prompt('Default text model (default: "openai"): ');
if (textModel) config[configKey].env.TEXT_MODEL = textModel;
const textTemperature = await prompt('Default temperature (0.0-2.0, controls randomness, default: 0.7): ');
if (textTemperature) config[configKey].env.TEXT_TEMPERATURE = String(parseFloat(textTemperature));
const textTopP = await prompt('Default top_p (0.0-1.0, controls diversity, default: 0.9): ');
if (textTopP) config[configKey].env.TEXT_TOP_P = String(parseFloat(textTopP));
const textSystem = await prompt('Default system prompt (optional, guides model behavior): ');
if (textSystem) config[configKey].env.TEXT_SYSTEM = textSystem;
}
// Audio parameters
console.log('\nAudio Generation Parameters:');
const customizeAudio = await promptYesNo('Customize audio generation parameters?', false);
if (customizeAudio) {
console.log('Available voices: "alloy", "echo", "fable", "onyx", "nova", "shimmer", "coral", "verse", "ballad", "ash", "sage", "amuch", "dan"');
const audioVoice = await prompt('Default voice (default: "alloy"): ');
if (audioVoice) config[configKey].env.AUDIO_VOICE = audioVoice;
}
// Tool restrictions removed; MCP clients usually control allow lists.
}
// Ask for output options
console.log('\nOutput options:');
const outputPath = await prompt('Output file path (default: "./mcp.json"): ');
const filePath = outputPath || './mcp.json';
// Write the configuration to a file
try {
fs.writeFileSync(filePath, JSON.stringify(config, null, 2));
console.log(`\nMCP configuration saved to: ${filePath}`);
console.log('\nYou can now use this configuration with any application that supports the Model Context Protocol.');
console.log('For example, you can add this configuration to your application\'s MCP configuration directory.');
// Display the configuration
console.log('\nGenerated configuration:');
console.log(JSON.stringify(config, null, 2));
} catch (error) {
console.error(`Error saving configuration: ${error.message}`);
}
rl.close();
}
// Run the generator
generateMcpConfig().catch(console.error);
