Player Two
Find browser games on Player Two, read its game SDK docs, and run your game studio there.
Description from the maker (original English)
AI-powered recipe generation and transformation tools by Cookwith
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
The maker has not listed install details in the registry. See the maker’s README below.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The publisher (jkakar) is not the repo owner (blaideinc); someone else may have listed it
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 14 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
In the same category: Player Two, cmpose, Convoca
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Find browser games on Player Two, read its game SDK docs, and run your game studio there.
Generate Compose Multiplatform apps, Unity games and Ktor backends locally from tested templates.
Open literary prizes and contests in Spanish and Catalan, with winners and awarded books.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
An MCP (Model Context Protocol) server that provides AI-powered recipe generation and transformation tools using Cookwith's advanced culinary AI.
npx @modelcontextprotocol/create-server install @cookwith/mcp-server
npm install -g @cookwith/mcp-server
Add to your Claude Desktop configuration:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": { "cookwith": { "command": "npx", "args": ["@cookwith/mcp-server"] } } }
generate_recipeGenerate a new recipe based on natural language instructions.
Parameters:
prompt (string, required): Natural language description of the desired recipedietaryRestrictions (array): Dietary restrictions (e.g., vegetarian, vegan, gluten-free)allergies (array): Ingredients to avoid due to allergiesdislikes (array): Foods the user doesn't likecalories (string): Target calories per servingprotein (string): Target protein in grams per servingservings (number): Number of servings (1-20, default: 4)Example:
{
"prompt": "A healthy pasta dish with lots of vegetables", "dietaryRestrictions": ["vegetarian"], "calories": "500", "servings": 2 }
transform_recipeTransform or modify an existing recipe based on instructions.
Parameters:
recipe (object, required): The recipe to transformtitle (string): Recipe titledescription (string): Recipe descriptioningredients (array): List of ingredientsinstructions (array): Cooking instructionsservings (number): Number of servingsinstructions (string, required): How to transform the recipecalories (string): New target calories per servingprotein (string): New target protein per servingservings (number): New number of servingsExample:
{
"recipe": { "title": "Classic Spaghetti Carbonara", "description": "Traditional Italian pasta dish", "ingredients": ["400g spaghetti", "200g guanciale", "4 eggs", "100g pecorino"], "instructions": ["Cook pasta", "Fry guanciale", "Mix eggs and cheese", "Combine"], "servings": 4 }, "instructions": "Make it vegetarian and reduce calories", "calories": "400" }
Once configured, you can use natural language to interact with the tools:
"Generate a healthy dinner recipe for 2 people with chicken and vegetables, around 500 calories per serving"
"Transform this pasta recipe to be gluten-free and dairy-free"
import { Client } from '@modelcontextprotocol/sdk';
const client = new Client({ name: 'my-app', version: '1.0.0' });
await client.connect('npx', ['@cookwith/mcp-server']);
// Generate a recipe const result = await client.callTool('generate_recipe', { prompt: 'Quick and healthy breakfast', calories: '350', servings: 1 });
git clone https://github.com/blaideinc/cookwith-mcp
cd cookwith-mcp npm install npm run build
npm start
npm test
The MCP server can also be accessed via HTTP at:
https://cookwith.co/api/mcphttp://localhost:3000/api/mcpMIT
Cookwith is an AI-powered cooking platform that generates personalized recipes based on your preferences, dietary restrictions, and taste profile. Learn more at cookwith.co.