Hologres MCP Server
by aliyun
Hologres MCP Server serves as a universal interface between AI Agents and Hologres databases. It enables seamless communication between AI Agents and Hologres, helping AI Agents retrieve Hologres database metadata and execute SQL operations.
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What is Hologres MCP Server?
Hologres MCP Server is a universal interface that facilitates communication between AI Agents and Hologres databases. It allows AI Agents to retrieve database metadata and execute SQL operations within Hologres.
How to use Hologres MCP Server?
The server can be integrated with the MCP client either by using a local file (downloaded from Github) or by installing it via pip. Configuration involves adding a specific block to the MCP client configuration file, including the command to execute the server and environment variables for database connection details (host, port, user, password, database).
Key features of Hologres MCP Server
Universal interface for AI Agents and Hologres
Metadata retrieval
SQL operation execution
Built-in tools for SQL execution, table analysis, and query plan retrieval
Resource templates for accessing schemas, tables, DDL, statistics, and query logs
Use cases of Hologres MCP Server
Enabling AI Agents to query Hologres databases
Automating database tasks using AI
Integrating Hologres data into AI-powered applications
Analyzing database performance using query logs and statistics
FAQ from Hologres MCP Server
What is the purpose of Hologres MCP Server?
What is the purpose of Hologres MCP Server?
It provides a universal interface for AI Agents to interact with Hologres databases.
How do I install the Hologres MCP Server?
How do I install the Hologres MCP Server?
You can install it either by cloning the repository from GitHub or by using pip.
What environment variables are required for configuration?
What environment variables are required for configuration?
You need to set HOLOGRES_HOST, HOLOGRES_PORT, HOLOGRES_USER, HOLOGRES_PASSWORD, and HOLOGRES_DATABASE.
What tools are available?
What tools are available?
Tools include execute_sql, analyze_table, get_query_plan, and get_execution_plan.
What kind of resources can I access?
What kind of resources can I access?
You can access schemas, tables, DDL, statistics, and query logs.