Hologres MCP Server
@MCP-Mirror
关于 Hologres MCP Server
Mirror of
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"hologres-mcp-server": {
"command": "uv",
"args": [
"run",
"--with",
"hologres-mcp-server",
"hologres-mcp-server"
],
"env": {
"HOLOGRES_HOST": "",
"HOLOGRES_PORT": "",
"HOLOGRES_USER": "",
"HOLOGRES_PASSWORD": "",
"HOLOGRES_DATABASE": ""
}
}
}
}工具
4Execute queries in Hologres
Collect table statistics
Get query plan
Get execution plan
概览
What is Hologres MCP Server?
Hologres MCP Server serves as a universal interface between AI Agents and Hologres databases. It enables AI Agents to retrieve Hologres database metadata and execute SQL operations.
How to use Hologres MCP Server?
Install using pip install hologres-mcp-server or clone from GitHub. Add the MCP server configuration to your MCP client config file, setting the environment variables HOLOGRES_HOST, HOLOGRES_PORT, HOLOGRES_USER, HOLOGRES_PASSWORD, and HOLOGRES_DATABASE. Launch using the provided uv commands for either local or pip mode.
Key features of Hologres MCP Server
- Execute SQL queries in Hologres databases
- Collect table statistics via
analyze_table - Retrieve query plans and execution plans
- Access database schemas, tables, and DDL
- View recent and user/application-specific query logs
- Inspect system status (missing statistics, current queries)
Use cases of Hologres MCP Server
- AI agents autonomously querying Hologres for analytics
- Automated database metadata retrieval for schema documentation
- Performance debugging with query plan analysis
- Monitoring query logs per user or application
- Statistic health checks via missing_stats_tables
FAQ from Hologres MCP Server
What tools does Hologres MCP Server provide?
It provides execute_sql, analyze_table, get_query_plan, and get_execution_plan.
How do I configure the server for my database?
Set the environment variables HOLOGRES_HOST, HOLOGRES_PORT, HOLOGRES_USER, HOLOGRES_PASSWORD, and HOLOGRES_DATABASE in the MCP client configuration.
What runtime dependencies are required?
Python with uv installed is required. The server can be installed via pip or run from a local clone.
What type of data can I access via resources?
You can access schemas, table lists, DDL, table statistics, query logs (by row limit, user, or application), and system paths like missing_stats_tables and stat_activity.
Are there any built-in prompts?
No, the README does not list any prompts for this server.
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