databases

Hologres

by aliyun

Connect AI systems to Alibaba Cloud's Hologres for seamless data analysis using SQL, metadata, and statistics. AI for da

Connects AI systems to Alibaba Cloud's Hologres databases for SQL execution, metadata retrieval, and statistics collection, enabling seamless data analysis workflows.

github stars

26

Official Alibaba Cloud integrationMultiple installation modes available

best for

  • / Data analysts working with Alibaba Cloud infrastructure
  • / AI agents performing automated data analysis
  • / Developers building data-driven applications on Hologres

capabilities

  • / Execute SQL queries on Hologres databases
  • / Retrieve database metadata and schema information
  • / Collect database statistics and table information
  • / Browse database structure and table definitions

what it does

Connects AI systems to Alibaba Cloud Hologres databases for executing SQL queries and retrieving database metadata. Enables AI agents to analyze data stored in Hologres through a standardized interface.

about

Hologres is an official MCP server published by aliyun that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect AI systems to Alibaba Cloud's Hologres for seamless data analysis using SQL, metadata, and statistics. AI for da It is categorized under databases.

how to install

You can install Hologres in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

Apache-2.0

Hologres is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

English | 中文

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:

Use uv mode

{
    "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"
            }
        }
    }
}

Use uvx mode

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

Components

Tools

  • execute_hg_select_sql: Execute a SELECT SQL query in Hologres database
  • execute_hg_select_sql_with_serverless: Execute a SELECT SQL query in Hologres database with serverless computing
  • execute_hg_dml_sql: Execute a DML (INSERT, UPDATE, DELETE) SQL query in Hologres database
  • execute_hg_ddl_sql: Execute a DDL (CREATE, ALTER, DROP, COMMENT ON) SQL query in Hologres database
  • gather_hg_table_statistics: Collect table statistics in Hologres database
  • get_hg_query_plan: Get query plan in Hologres database
  • get_hg_execution_plan: Get execution plan in Hologres database
  • call_hg_procedure: Invoke a procedure in Hologres database
  • create_hg_maxcompute_foreign_table: Create MaxCompute foreign tables in Hologres database.

Since some Agents do not support resources and resource templates, the following tools are provided to obtain the metadata of schemas, tables, views, and external tables.

  • list_hg_schemas: Lists all schemas in the current Hologres database, excluding system schemas.
  • list_hg_tables_in_a_schema: Lists all tables in a specific schema, including their types (table, view, external table, partitioned table).
  • show_hg_table_ddl: Show the DDL script of a table, view, or external table in the Hologres database.

Resources

Built-in Resources

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

Resource Templates

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

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

  • hologres:///{schema}/{table}/ddl: Get table DDL in Hologres database

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

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

    • hg_instance_version - Shows the hologres instance version.
    • guc_value/<guc_name> - Shows the guc (Grand Unified Configuration) value.
    • 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

FAQ

What is the Hologres MCP server?
Hologres is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Hologres?
This profile displays 73 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.673 reviews
  • Chaitanya Patil· Dec 20, 2024

    I recommend Hologres for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Anaya Martin· Dec 20, 2024

    Hologres is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Anaya Jackson· Dec 8, 2024

    Strong directory entry: Hologres surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Henry Kapoor· Dec 8, 2024

    According to our notes, Hologres benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Ishan Abbas· Dec 8, 2024

    Hologres is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Kaira Nasser· Dec 8, 2024

    Hologres reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Aarav Abebe· Dec 4, 2024

    Hologres is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Isabella Diallo· Nov 27, 2024

    I recommend Hologres for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Mia Iyer· Nov 27, 2024

    Hologres is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Kaira Abbas· Nov 27, 2024

    We wired Hologres into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

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