mongodb-atlas
MongoDB Atlas cloud database operations
When & Why to Use This Skill
The MongoDB Atlas skill enables Claude to perform comprehensive cloud database operations directly within the chat interface. It streamlines database management by providing tools for CRUD operations, index optimization, and complex aggregation pipelines, offering over 90% context savings for developers and database architects working with NoSQL environments.
Use Cases
- Data Management & CRUD: Efficiently query, insert, update, and delete documents in MongoDB Atlas collections to accelerate application development and debugging.
- Performance Tuning: Manage database indexes and utilize the 'explain' tool to analyze query plans and optimize database performance.
- Advanced Data Analytics: Execute sophisticated aggregation pipelines to transform data and extract actionable insights directly from the cloud database.
- Schema & Architecture Design: Assist database architects in designing document schemas and validating collection structures during the development lifecycle.
| name | mongodb-atlas |
|---|---|
| description | MongoDB Atlas cloud database operations |
| version | 1.0.0 |
| allowed-tools | [Bash, Read, WebFetch] |
MongoDB Atlas Skill
Overview
MongoDB Atlas cloud database management. 90%+ context savings.
Requirements
- MONGODB_URI connection string
- Atlas API key (optional)
Tools (Progressive Disclosure)
Collections
| Tool | Description | Confirmation |
|---|---|---|
| list-collections | List collections | No |
| find | Query documents | No |
| insert | Insert document | Yes |
| update | Update documents | Yes |
| delete | Delete documents | REQUIRED |
Indexes
| Tool | Description | Confirmation |
|---|---|---|
| list-indexes | List indexes | No |
| create-index | Create index | Yes |
| drop-index | Drop index | Yes |
Aggregation
| Tool | Description |
|---|---|
| aggregate | Run aggregation pipeline |
| explain | Explain query plan |
BLOCKED
| Tool | Status |
|---|---|
| dropDatabase | BLOCKED |
Agent Integration
- database-architect (primary): Schema design
- developer (secondary): Data operations