A Model Context Protocol server that enables large language models to access database metadata and perform cross-engine data querying across diverse database ecosystems.
A Model Context Protocol server that provides real-time database schema information to AI assistants, supporting both low-code system schema queries and traditional database metadata queries.
MCP server that connects AI agents to a shared organizational knowledge base, allowing them to query company-specific context like pricing, team, and strategy.
An MCP server that gives AI assistants the ability to connect to, query, profile, and monitor data sources — turning any LLM into an interactive data engineering copilot.
Self-documenting MCP server enabling AI agents to autonomously create, manage, and query SQLite databases with enforced metadata requirements for discoverability.
A Model Context Protocol server that provides AI models with structured access to external data and services, acting as a bridge between AI assistants and applications, databases, and APIs in a standardized, secure way.