Open-source alternatives to Postbird

Simple SQL Client for lightweight data analysis.

An official Qdrant Model Context Protocol (MCP) server implementation

redis-pro redis 桌面管理工具

nocodb mcp server

A Model Context Protocol (MCP) server implementation that provides database interaction with Snowflake. This server enables running SQL queries via tools and exposes data insights and schema context as resources.

A Model Context Protocol server that provides access to BigQuery

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

This application is a desktop utility for managing, editing, and visualizing local database files. It provides a graphical interface for executing SQL queries, designing database structures, and performing routine maintenance tasks on data stores. The software distinguishes itself through its support for encrypted database files, allowing users to manage password-protected data using modular cryptographic extensions. It also offers built-in tools for data analysis, enabling the generation of graphical charts and plots directly from query results to identify trends within datasets. Beyond its

Sequel Pro is a native macOS database administration application and graphical user interface client. It provides a dedicated desktop environment for managing MySQL and MariaDB databases, allowing users to perform server configuration and organize database data. The tool focuses on relational database visualization and the administration of both MySQL and MariaDB server instances. It enables the organization of data and the execution of management tasks through a desktop interface designed for macOS.

Sequel Ace is a native macOS application that serves as a management client for MySQL and MariaDB database instances. It provides a graphical user interface for executing SQL queries and administering database structures without the use of a command line. The project enables the visualization of relational database structures and records in a visual format. It includes a visual query editor and data browser for writing and executing SQL statements to retrieve or modify data. The application handles database administration tasks and data storage through a native desktop interface. It manages

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

mcp server for tidb

MCP Server to interact with data in Couchbase Clusters

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

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

The easiest way to get started with MongoDB on the Mac

A Model Context Protocol Server for MongoDB

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

Bigcache is a thread-safe, in-memory key-value store for Go designed to minimize garbage collection pauses. It functions as a memory-optimized cache capable of storing gigabytes of data while maintaining low latency during high-volume operations. The system avoids garbage collection overhead by managing memory through large byte arrays and manual allocation. It utilizes a circular-buffer layout to reuse space and lock-striped sharding to reduce contention during concurrent read and write access. The project provides capabilities for high-volume in-memory caching and low-latency data retrieva

1. 入门示例: tablestore-java-mcp-server 2. 基于 MCP 架构实现知识库答疑系统: tablestore-java-mcp-server-rag - 实现一个目前最常见的一类 AI 应用即答疑系统，支持基于私有知识库的问答，会对知识库构建和 RAG 做一些优化。

Common Lisp CFFI wrapper around the DuckDB C API

Mongoose is an object data modeling library and framework for Node.js that maps application objects to MongoDB documents. It functions as a document mapper and schema validator, ensuring consistent data types and validation rules for records stored in MongoDB. The project provides a system for defining structured schemas to model application data, including the ability to create hierarchical data structures through nested schema composition. It implements a middleware-based hook system that allows for the interception and modification of data states during the lifecycle of database operations

Personal db information management system.

Waterline is an adapter-based database library and object relational mapper for Node.js. It serves as a multi-database persistence layer that translates standard method calls into specific queries for both SQL and NoSQL databases. The library provides a unified interface for managing data across different stores, including MySQL, PostgreSQL, MongoDB, and Microsoft SQL Server. This architecture allows for the integration of multiple database backends within a single application and facilitates database vendor migration by changing adapters without altering business logic. The project covers r

SpiceDB is a distributed permission store and relationship-based access control system. It provides a scalable database for storing and querying fine-grained authorization relationships, implementing a consistency model inspired by Google Zanzibar to manage access rights across large-scale applications. The system uses a dedicated schema language to define the rules and logic governing how relationships translate into permissions independently of application code. It functions as a pluggable authorization engine that persists relationship tuples in external relational databases such as Postgr

AnalyticDB PostgreSQL MCP Server serves as a universal interface between AI Agents and AnalyticDB PostgreSQL databases. It enables seamless communication between AI Agents and AnalyticDB PostgreSQL, helping AI Agents retrieve database metadata and execute SQL operations.