Showcase Your MongoDB Skills with a GitHub README Badge

Use this markdown in your README:

![MongoDB](https://img.shields.io/badge/MongoDB-47A248?style=for-the-badge&logo=mongodb&logoColor=white)

The #47A248 is MongoDB's official green. The mongodb logo identifier renders MongoDB's leaf logo from Simple Icons. This green badge pairs well with Node.js and Express badges in the MERN stack, creating a visually coherent set of technology identifiers.

MongoDB usage varies significantly in depth — from basic CRUD with Mongoose to aggregation pipeline optimization, replica set management, and Atlas Search integration. Be specific about your experience level.

If you use MongoDB Atlas (the managed cloud version), mention it — Atlas is the primary MongoDB deployment method in production today. If you have experience with MongoDB Aggregation Pipeline for complex data transformations, that is worth highlighting as it requires deeper understanding than basic queries. Mention Mongoose if you use it in a Node.js context, as it is an additional layer that demonstrates ORM-like patterns in the NoSQL space.

MongoDB appears in three main stack contexts:

• MERN stack: MongoDB + Express.js + React + Node.js
• Backend API stack: MongoDB + Node.js + Express/NestJS + TypeScript
• Real-time app stack: MongoDB + Node.js + Socket.io + Redis
• Serverless stack: MongoDB Atlas + AWS Lambda + Node.js

The MERN stack is one of the most recognized JavaScript full-stack patterns. If you build MERN applications, label your badge group as 'MERN Stack' and list all four components. This specific naming communicates to JavaScript recruiters exactly what stack you are comfortable with.

MongoDB configuration and schema files are typically JSON or JavaScript, which will show in your language stats as JavaScript or JSON. For Node.js + MongoDB backends, TypeScript is increasingly the primary language — your stats will reflect whichever language you use for your server code.

For pinned repositories, showcase MongoDB projects that demonstrate aggregation queries, indexing strategies, or real-time change stream usage — these go beyond basic CRUD and show real depth. A MERN stack application with a clean API layer and proper error handling demonstrates full-stack competence that MongoDB alone cannot convey.