MCP Servers Collection

@melkorCBA

Repository

Basic information

About MCP Servers Collection

Here lies all the custom MCP Servers I have created

MCP Servers Collection config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP Servers Collection tools

Tool list not available yet

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Servers Collection?

A repository of custom MCP (Model Context Protocol) servers that extend AI capabilities with specialized services. The collection currently includes the meal-planer server, which integrates with the Nutritionix API to provide nutritional information and meal planning features.

How to use MCP Servers Collection?

Clone the repository, navigate to the desired MCP server directory, follow the setup instructions in that server’s README, then connect your AI assistant to the running server. Most servers require Node.js 18+ and pnpm, and some need API keys configured via environment variables.

Key features of MCP Servers Collection

Contains custom MCP servers for specialized services
Example server: meal-planer with Nutritionix API support
Servers enable real‑time data access and actions
Minimal setup: Node.js 18+, pnpm, optional API keys
Each server has its own README and configuration files

Use cases of MCP Servers Collection

Generate meal plans with specific calorie targets
Calculate macro nutrition breakdowns (Carbs, Protein, Fat)
Fetch nutritional information for food items
Structure daily meals with percentage‑based calorie distribution

Frequently asked questions

What servers are included in the collection?

The repository currently contains the meal-planer server. More custom MCP servers may be added over time.

What are the runtime requirements for these servers?

Most servers require Node.js 18+, the pnpm package manager, and any necessary API keys (if the server connects to an external service).

How do I configure API keys for a server?

Check the server’s directory for a `.env.example` file; it lists the environment variables you need to set for API access.

How do I run one of these MCP servers?

Clone the repository, go to the server’s directory, follow the steps in its README, then start the server and connect your AI assistant to it.

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