An employee-analytics MCP server backed by SQLite that provides hand-written SQL queries for common analytics tasks like salary ranking and department statistics. It self-seeds sample data, enabling immediate testing of GROUP BY, window functions, NULL handling, and subqueries.
An open-source MCP server that imports HR CSV data into an in-memory SQLite database for structured querying and metadata retrieval. It enables users to perform read-only SQL queries and structured searches on employee data through natural language.
A demonstration MCP server that provides access to a SQLite employee database with tools for querying users and profiles, sending emails via Mailtrap, and proposing project teams based on employee skills.
A beginner-friendly MCP server that exposes a run_sql tool for querying a DuckDB employee database, returning results as Markdown tables. It enables AI assistants to run SQL queries through the Model Context Protocol.
This MCP server imports HR CSV data into an in-memory SQLite database to enable structured querying and metadata retrieval. It provides tools for executing read-only SQL queries and searching employee records through a standardized JSON-RPC interface.
A production-grade MCP server for enterprise sales analytics, enabling LLM clients to query, analyze, and visualize sales data from a SQLite database through structured tools, resources, and prompts.
