A lightweight Model Context Protocol server that provides an in-memory key-value store with get, set, delete, list, and clear operations for MCP-compatible AI assistants and clients.
A template project for building custom MCP servers that enables direct access to PostgreSQL databases, allowing SQL query execution and schema information retrieval through the Model Context Protocol.
A tool that provides simple API to execute SQL queries and manage MySQL databases, designed to integrate with Cursor IDE for AI assistants to directly perform database operations.
A custom Memory MCP Server that acts as a cache for Infrastructure-as-Code information, allowing users to store, summarize, and manage notes with a custom URI scheme and simple resource handling.
A TypeScript-based MCP server that enables AI assistants to interact with CouchDB databases through a simple interface, providing tools for creating, reading, and querying databases and documents.
Enables natural language interaction with MySQL Sakila database through intent-based tools for movie search, customer management, rental operations, and business analytics without exposing database schema.
A clean, simple Model Context Protocol (MCP) server that integrates Firebase Crashlytics with BigQuery for AI-powered crash analysis. Built for use with Claude Code and other MCP-compatible AI assistants.
An MCP server that provides simple query capabilities for Google Cloud Datastore, allowing users to list kinds, retrieve entities, run basic queries with pagination, filter entities by equality, and count entities.
A Model Context Protocol server implementation that enables natural language interactions with OpenSearch clusters, allowing users to search documents, analyze indices, and manage clusters through simple conversational commands.
An MCP server for MySQL that enables users to execute SQL queries, inspect table structures, and explore database schemas through a clean, SOLID-based architecture. It includes built-in security validations to protect against dangerous operations and ensure safe interaction with database resources.
Enables natural language database interaction with SQLite through JMD documents, allowing CRUD operations and schema management via simple text format.
Enables querying and managing daily store sales data stored in CSV files, including listing available dates, retrieving raw sales data, computing daily and per-item statistics, and saving new daily sales data.