Is it possible to list all available databases?

Yes, the list_databases tool provides a complete overview of all databases accessible through the provided connection string.

How can I see the structure of my data?

You can use the get_collection_schema tool to retrieve detailed information about the fields and types present in a specific collection.

Can I perform complex data analysis with this skill?

Yes, the skill supports MongoDB aggregation pipelines, which are preferred for complex operations and data transformations.

Does this skill support write or delete operations?

No, this skill is strictly configured for read-only access to ensure data safety and prevent accidental modifications during exploration.

What environment variables are required for setup?

You must configure the MONGODB_URI connection string in your shell environment before the plugin can connect to your database.

MongoDB Usage

Name: MongoDB Usage
Author: Microck

byMicrock

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Gestión de Bases de Datos

Integrates MongoDB database exploration and read-only querying capabilities directly into the Claude environment.

Acerca de

This skill empowers Claude to interact with MongoDB databases through a structured, read-only interface via the MCP server. It streamlines the developer workflow by allowing users to list databases, explore collection schemas, and execute complex queries or aggregation pipelines without switching tools. Designed for safety and efficiency, it provides critical data visibility for debugging, schema validation, and data analysis tasks while strictly enforcing read-only permissions to protect production environments.

Características Principales

Database index analysis for performance optimization
Flexible record searching and data querying
Support for MongoDB aggregation pipelines
Read-only database and collection enumeration
81 GitHub stars
Automated collection schema retrieval and inspection

Casos de Uso

Troubleshooting application issues by querying live database records
Analyzing database indexes to improve query efficiency
Validating data structures and schemas during backend development

Acerca de

Características Principales

Database index analysis for performance optimization
Flexible record searching and data querying
Support for MongoDB aggregation pipelines
Read-only database and collection enumeration
81 GitHub stars
Automated collection schema retrieval and inspection

Casos de Uso

Troubleshooting application issues by querying live database records
Analyzing database indexes to improve query efficiency
Validating data structures and schemas during backend development