What tools does Hologres MCP Server provide?
It provides `execute_sql`, `analyze_table`, `get_query_plan`, and `get_execution_plan`.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"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": ""
}
}
}
}Execute queries in Hologres
Collect table statistics
Get query plan
Get execution plan
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.
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.
analyze_tableIt provides `execute_sql`, `analyze_table`, `get_query_plan`, and `get_execution_plan`.
Set the environment variables `HOLOGRES_HOST`, `HOLOGRES_PORT`, `HOLOGRES_USER`, `HOLOGRES_PASSWORD`, and `HOLOGRES_DATABASE` in the MCP client configuration.
Python with `uv` installed is required. The server can be installed via `pip` or run from a local clone.
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`.
No, the README does not list any prompts for this server.

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