Hologres MCP Server serves as a universal interface between AI Agents and Hologres databases, enabling seamless communication and enabling AI agents to retrieve Hologres metadata and execute SQL operations. It supports two deployment modes: Local File mode and Python Package (PIP) mode. In Local File mode, you clone the repository and configure the MCP client to run via uv, providing connection details through environment variables HOLOGRES_HOST, HOLOGRES_PORT, HOLOGRES_USER, HOLOGRES_PASSWORD, and HOLOGRES_DATABASE. In PIP mode, install hologres-mcp-server and configure the MCP client either with uv (run hologres-mcp-server) or uvx mode, using the same environment variables. The MCP Server exposes a suite of tools to perform common database tasks, including executing SELECT, DML, and DDL statements, gathering table statistics, obtaining query and execution plans, and invoking procedures. It also provides metadata access helpers and resource templates to discover schemas, tables, DDL, and statistics, along with system paths for runtime information. This design enables AI agents to work with Hologres data without direct database access while retaining rich capabilities for exploration and analysis.