Hologres MCP Server

Hologres MCP Server avatar

by aliyun

Official Integrations

What is Hologres MCP Server

Hologres MCP Server

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.

Configuration

Mode 1: Using Local File

Download

Download from Github

git clone https://github.com/aliyun/alibabacloud-hologres-mcp-server.git

MCP Integration

Add the following configuration to the MCP client configuration file:

"mcpServers": {
  "hologres-mcp-server": {
    "command": "uv",
    "args": [
      "--directory",
      "/path/to/alibabacloud-hologres-mcp-server",
      "run",
      "hologres-mcp-server"
    ],
    "env": {
      "HOLOGRES_HOST": "host",
      "HOLOGRES_PORT": "port",
      "HOLOGRES_USER": "access_id",
      "HOLOGRES_PASSWORD": "access_key",
      "HOLOGRES_DATABASE": "database"
    }
  }
}

Mode 2: Using PIP Mode

Installation

Install MCP Server using the following package:

pip install hologres-mcp-server

MCP Integration

Add the following configuration to the MCP client configuration file:

"mcpServers": {
    "hologres-mcp-server": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "hologres-mcp-server",
        "hologres-mcp-server"
      ],
      "env": {
        "HOLOGRES_HOST": "host",
        "HOLOGRES_PORT": "port",
        "HOLOGRES_USER": "access_id",
        "HOLOGRES_PASSWORD": "access_key",
        "HOLOGRES_DATABASE": "database"
      }
    }
  }

Components

Tools

  • execute_select_sql: Execute a SELECT SQL query on the Hologres server
  • execute_dml_sql: Execute a DML (INSERT, UPDATE, DELETE) SQL query on the Hologres server
  • execute_ddl_sql: Execute a DDL (CREATE, ALTER, DROP) SQL query on the Hologres server
  • gather_table_statistics: Collect table statistics
  • get_query_plan: Get query plan
  • get_execution_plan: Get execution plan

Resources

Built-in Resources

  • hologres:///schemas: Get all schemas in the database

Resource Templates

  • hologres:///{schema}/tables: List all tables in a schema

  • hologres:///{schema}/{table}/partitions: List all partitions of a partitioned table

  • hologres:///{schema}/{table}/ddl: Get table DDL

  • hologres:///{schema}/{table}/statistic: Show collected table statistics

  • system:///{+system_path}: System paths include:

    • missing_stats_tables - Shows the tables that are missing statistics.
    • stat_activity - Shows the information of current running queries.
    • query_log/latest/<row_limits> - Get recent query log history with specified number of rows.
    • query_log/user/<user_name>/<row_limits> - Get query log history for a specific user with row limits.
    • query_log/application/<application_name>/<row_limits> - Get query log history for a specific application with row limits.
    • query_log/failed/<interval>/<row_limits> - Get failed query log history with interval and specified number of rows.

Prompts

None at this time

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.