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Hologres MCP Server: Real-Time Mirroring, Zero-Downtime Analytics - MCP Implementation

Hologres MCP Server: Real-Time Mirroring, Zero-Downtime Analytics

Hologres MCP Server: Mirror of real-time data at scale, ensuring zero-downtime analytics and lightning-fast insights for mission-critical workloads.

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Ranked in the top 9% of all AI tools in its category

About Hologres MCP Server

What is Hologres MCP Server: Real-Time Mirroring, Zero-Downtime Analytics?

Hologres MCP Server acts as a bridge between AI agents and Hologres databases, enabling bidirectional communication for real-time data operations. It allows AI systems to dynamically interact with Hologres by retrieving metadata, executing SQL commands, and managing database resources without service interruptions. This middleware ensures seamless integration for applications requiring instant data access and continuous analytics.

How to Use Hologres MCP Server: Real-Time Mirroring, Zero-Downtime Analytics?

Deployment is straightforward with two methods:

Local File Setup:
1. Clone the repository via git clone https://github.com/aliyun/alibabacloud-hologres-mcp-server.git
2. Configure the MCP client with path-specific parameters and database credentials in the mcpServers block.

Pip Installation:
1. Install the package using pip install hologres-mcp-server
2. Configure the client using the uv run command with environment variables for database access.

Hologres MCP Server Features

Key Features of Hologres MCP Server: Real-Time Mirroring, Zero-Downtime Analytics?

Core capabilities include:

  • Real-time SQL execution and query plan visualization
  • Automated table statistics collection and analysis
  • System-wide resource monitoring via built-in paths like missing_stats_tables and stat_activity
  • Flexible resource templates for schema and table management
  • Environment-variable based security for sensitive credentials

Use Cases of Hologres MCP Server: Real-Time Mirroring, Zero-Downtime Analytics?

Common applications:

• Real-time dashboard updates using live query logs
• Automated database schema discovery for AI-driven workflows
• Performance optimization through execution plan analysis
• Auditing user/application activity via filtered query logs

Hologres MCP Server FAQ

FAQ from Hologres MCP Server: Real-Time Mirroring, Zero-Downtime Analytics?

Q: Does it support Windows systems?
 A: Yes, as long as Python 3.8+ and required dependencies are installed.

Q: How to troubleshoot connection issues?
 A: Verify HOLOGRES_HOST and HOLOGRES_PORT match your database configuration. Check firewall rules and access credentials.

Q: Is there a performance overhead?
 A: Minimal, as operations are optimized for low-latency execution. Real-time features leverage Hologres's native capabilities.

Q: Are updates automated?
 A: Manual updates via pip install --upgrade ensure compatibility with new Hologres features.

Q: Is this service free?
 A: The server is open-source, but Hologres database costs apply based on your cloud provider's pricing.

Content

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_sql: Execute queries in Hologres

  • analyze_table: 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}/ddl: Get table DDL

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

  • system:///query_log/latest/{row_limits}: Get recent query logs

  • system:///query_log/user/{user_name}: Get specific user's query logs

  • system:///query_log/application/{application_name}: Get specific application's query logs

  • 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.

Prompts

None at this time

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