About MCP Servers Collection
A collection of custom MCP servers, currently listing meal-planer for meal planning and nutrition information. It is for users who want to connect specialized meal-planning capabilities to AI assistants; each server has its own directory and setup instructions.
Key features
- 01Meal planning with meal-planer
- 02Plans based on calorie targets
- 03Carbohydrate, protein, and fat breakdowns
- 04Food nutrition lookup through Nutritionix
- 05Daily meal calorie allocation by percentage
Use cases
- 01Plan meals around a calorie target
- 02Look up nutrition information for foods
- 03Allocate daily calories across meals
MCP support
The collection's meal-planer is an MCP server that provides meal planning and nutrition capabilities to AI assistants. The README instructs users to connect an assistant to a running server.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Servers Collection
This repository contains a collection of custom MCP (Model Context Protocol) servers that I've created to enhance AI capabilities with specialized services.
What is MCP?
The Model Context Protocol (MCP) enables AI systems to interact with external services, extending their capabilities beyond static training data. These servers allow AI assistants to access real-time information, perform actions, and provide more accurate and relevant responses.
Available MCP Servers
| Server Name | Version | Description | Capabilities |
|---|---|---|---|
| meal-planer | 1.0.0 | A meal planning service that provides nutritional information and meal planning capabilities | • Generate meal plans with calorie targets • Calculate macro nutrition breakdowns (Carbs, Protein, Fat) • Fetch nutritional information for food items via Nutritionix API • Structure daily meals with percentage-based calorie distribution |
Usage
Each MCP server is contained in its own directory with a dedicated README and setup instructions. To use these servers:
- Clone this repository
- Navigate to the desired MCP server directory
- Follow the setup instructions in the server's README
- Connect your AI assistant to the running MCP server
Setup Requirements
Most servers require:
- Node.js 18+
- pnpm package manager
- API keys (if the server connects to external services)
Environment Variables
Some servers require environment variables for API access. Check each server's directory for a .env.example file detailing required variables.
Contributing
Feel free to contribute by adding new MCP servers or enhancing existing ones through pull requests.
License
ISC License
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.