Projects sharing features with PostgresApp

Pigsty is a comprehensive database infrastructure orchestration platform designed to automate the full lifecycle of high-availability PostgreSQL clusters. It functions as an infrastructure-as-code framework that manages cluster coordination, node provisioning, and service discovery through idempotent playbooks. By integrating distributed consensus mechanisms, the platform ensures automated failover and consistent state enforcement across diverse environments, including bare metal and virtualized infrastructure. The platform distinguishes itself through a robust suite of operational capabiliti

Beekeeper Studio is a cross-platform desktop application designed for database management and SQL development. It provides a unified graphical interface to connect to, query, and modify data across a wide range of relational and NoSQL database systems. The application functions as a comprehensive workspace, integrating tools for schema design, record editing, and data visualization. The project distinguishes itself through a focus on secure, flexible connectivity and AI-assisted workflows. It supports advanced authentication methods, including enterprise single sign-on, multi-factor authentic

The easiest way to get started with MongoDB on the Mac

This project is a cross-platform desktop application that provides a graphical interface for managing and interacting with Redis databases. Built as a standalone software program, it functions as a centralized connection manager that allows users to visualize data structures, perform administrative tasks, and inspect records across multiple database environments. The application distinguishes itself through its integration with external processes and command-line workflows. Users can define custom viewers to render specific data formats using external tools and launch the interface directly f

redis-pro redis 桌面管理工具

Medis is a native macOS desktop application that serves as a Redis client for connecting to local and remote instances. It provides a graphical user interface for visualizing, editing, and managing data stored within Redis key-value stores. The application includes a visual key-value explorer for browsing records and a dedicated terminal console for executing raw instructions and system shell commands. It supports secure remote administration through SSL encrypted connections and the use of host, port, and password credentials. Connection management is handled via profiles that allow saving

Simple SQL Client for lightweight data analysis.

SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer

pg_cron is a PostgreSQL job scheduler and background task manager that executes periodic SQL commands directly within the database engine. It functions as an automation tool using standard cron syntax to trigger recurring administrative and data tasks on a defined timetable. The extension provides the capability to manage and trigger scheduled SQL operations across multiple target databases from a single instance. It includes a logging system that acts as an execution auditor, tracking the start time, end time, and success status of every job run. The project covers database maintenance auto

DBeaver is a universal database client and administration environment designed for managing diverse relational and non-relational database systems. It provides a unified graphical interface that enables users to perform data manipulation, schema migration, and performance monitoring across multiple platforms. By utilizing a standardized driver abstraction layer, the application translates generic requests into database-specific commands, ensuring consistent interaction regardless of the underlying technology. The project distinguishes itself through an extensible, plugin-based architecture th

Mathesar is a no-code database manager and PostgreSQL GUI that provides a visual interface for managing relational database structures and records. It functions as a low-code data platform for administering schemas, tables, and relationships without the need to write manual SQL commands. The platform allows for the creation of shareable forms to collect data and the management of file attachments linked directly to database records. It includes a PostgreSQL administration tool for controlling database roles, user permissions, and data validation rules. The system covers relational data model

Adminer is a PHP-based database management tool and multi-engine database client. It provides a web-based graphical interface for administering various relational and document database engines. The application is distributed as a single file to simplify installation and deployment on web servers. It supports customization through external stylesheets for visual themes and a plugin architecture to extend core functionality and system behaviors. The tool covers database schema administration, including the creation of views and management of foreign keys. It includes a SQL query editor with au

Sqlectron-gui is a cross-platform database manager and SQL client. It provides a graphical interface for organizing server connections and executing SQL commands across various operating systems. The tool functions as a multi-database query environment, allowing users to connect to and interact with diverse relational database systems from a single interface. The application covers database server administration by saving and organizing connection details for multiple environments. It also includes capabilities for managing database connections and executing SQL queries.

This project is a Model Context Protocol server and AI agent database connector. It provides a standardized communication layer that allows language models to interact with relational data stores, read database schemas, and manage PostgreSQL database resources. The implementation acts as a serverless host for the Model Context Protocol, deploying on distributed edge functions to connect AI assistants to a project. This enables AI agents to perform database administration, execute SQL queries, and handle schema migrations through an AI-compatible interface. The system covers broader capabilit

Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool. The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It sup

FastoNoSQL is a crossplatform Redis, Memcached, SSDB, LevelDB, RocksDB, UnQLite, LMDB, ForestDB, Pika, Dynomite, KeyDB GUI management tool.

FastoRedis is a crossplatform Redis GUI management tool.

MCP server for interacting with Neon Management API and databases

🍃🔎 MongoDB Lens: Full Featured MCP Server for MongoDB Databases

The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently

A Model Context Protocol Server for MongoDB

MCP Server to interact with data in Couchbase Clusters

nocodb mcp server

🗂️🤖 Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases

A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interface.

A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities