How do I provide my MongoDB connection string?

You can provide the connection string via the -u CLI argument, the MONGO_TS_URI environment variable, or by saving it in the ~/.mongots/config.json file.

Does it require a specific MongoDB version?

It is designed to work with standard MongoDB connection strings and supports common syntax used in modern MongoDB versions.

What output formats does the tool support?

You can output data in Markdown Table (default), JSON, CSV, and YAML formats, making it easy to read or pipe into other tools.

Is Mongo TS safe to use with production databases?

Yes. It defaults to a read-only mode for operations like find and aggregate. You must explicitly use the --allow-write flag to perform insert, update, or delete operations.

Can I perform complex data aggregations?

Absolutely. Mongo TS supports the standard MongoDB aggregate() syntax for complex data processing and grouping.

Mongo TS

Name: Mongo TS
Author: vivalalova

byvivalalova

Database Management

Executes native MongoDB query syntax directly from the command line with built-in safety features and flexible output formatting.

About

Mongo TS is a robust CLI tool designed for developers to interact with MongoDB databases without leaving their terminal environment. It supports the full spectrum of MongoDB operations including CRUD, complex aggregation pipelines, and index management using native query syntax. To ensure data integrity, the tool operates in a read-only mode by default, requiring an explicit flag for write operations. With support for various output formats like Markdown tables, JSON, and CSV, it is an ideal companion for data inspection, schema management, and quick reporting tasks.

Key Features

Streamlined database and collection management (show dbs, show collections)
Default read-only mode to prevent accidental production data modification
Flexible configuration via CLI flags, .env files, or global config files
Execute native MongoDB query syntax for CRUD and aggregations
Multiple output formats including Markdown Table, JSON, CSV, and YAML
0 GitHub stars

Use Cases

Exporting aggregation results to CSV or JSON for data analysis
Quickly querying and inspecting database records during development
Managing database indexes and schema stats through a unified CLI

About

Key Features

Streamlined database and collection management (show dbs, show collections)
Default read-only mode to prevent accidental production data modification
Flexible configuration via CLI flags, .env files, or global config files
Execute native MongoDB query syntax for CRUD and aggregations
Multiple output formats including Markdown Table, JSON, CSV, and YAML
0 GitHub stars

Use Cases

Exporting aggregation results to CSV or JSON for data analysis
Quickly querying and inspecting database records during development
Managing database indexes and schema stats through a unified CLI