Projects sharing features with Airtable Mcp Server

mcp server for tidb

An official Qdrant Model Context Protocol (MCP) server implementation

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

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

MCP server for interacting with Neon Management API and databases

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 that lets AI assistants like Claude control Apple Shortcuts automations. This enables AI models to trigger shortcuts and automate tasks on macOS in a safe and controlled way.

The Model Context Protocol is a standardized communication framework designed to connect language models to external data sources, functional tools, and interactive user interfaces. It provides a vendor-neutral interface layer that enables AI hosts to discover and execute capabilities across heterogeneous service environments, using a JSON-RPC based messaging standard to facilitate bidirectional communication between clients and servers. The protocol distinguishes itself through a robust capability-based handshake that negotiates feature sets during session initialization, ensuring compatibil

MCP server for Todoist integration enabling natural language task management with Claude

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

Dart AI Model Context Protocol (MCP) server

LevelDB is an embedded database library and persistent storage engine that provides a sorted key-value store. It uses a log-structured merge-tree architecture to map byte arrays to values, running directly within a process to provide storage without the need for a separate server process. The system is distinguished by its use of custom comparison functions to define key ordering, enabling efficient range scans and sequenced lookups. It ensures data reliability through atomic batch execution, consistent snapshot generation, and log-based recovery after failures. The engine covers broad capab

C++ ORM for SQLite

This local MCP server is deprecated. We support Remote MCP Server now, which can be connected via this url: https://mcp.fibery.io/mcp.

MCP server for Google Keep

RocksDB is a high-performance, embeddable persistent key-value library and storage engine based on Log-Structured Merge-trees. It is designed to provide durable storage for large-scale datasets, integrating directly into applications to manage data on flash and RAM-based hardware. The engine is distinguished by its focus on minimizing read and write amplification through multi-threaded compaction and custom memory allocators. It features specialized optimizations for flash storage, including support for zoned block devices, and provides the ability to extend store behavior via external plugin

This project is a Model Context Protocol server that provides an interface for AI agents to programmatically create, read, and modify Excel workbooks. It serves as a bridge that enables large language models to perform spreadsheet automation and data visualization. The server allows AI agents to generate native Excel charts and pivot tables from raw data, transforming structured information into visual summaries. It provides a mechanism for remote spreadsheet management through a protocol-based connectivity layer. The system covers a broad range of spreadsheet manipulation capabilities, incl

Model Context Protocol server for Slite integration - search and retrieve notes from your Slite workspace

The easiest way to get started with MongoDB on the Mac

redis-pro redis 桌面管理工具

English | Français | Español | العربية | Русский | 文档导航

This project is a Model Context Protocol server that acts as a bridge between large language models and Obsidian. It provides a standardized interface for external tools to read, search, and modify markdown files and folder structures within a local knowledge base. The server functions as an Obsidian REST API connector, communicating with a community plugin to perform programmatic vault operations. This enables the integration of language model context with private vault content for automated note-taking and knowledge management. The system covers content and media management through the ret

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