What is the Apache Doris MCP server?

The MCP server for Apache Doris provides a bridge between AI agents and a real-time data warehouse. It enables AI systems to interact with Apache Doris, an MPP-based analytics database, for querying and managing large-scale data. This allows agents to perform analytical tasks on structured data in real-time.

Apache Doris

Data & Analytics MCP server Source ↗

Server spec

Install: See source repository
Transport: http
Auth: Not publicly specified
Language: Not publicly specified
Tools exposed: 6
Official: Community

The Apache Doris MCP server implements the Model Context Protocol to connect AI agents with Apache Doris’s analytical capabilities. As an open source component, it provides a standardized interface for machine systems to interact programmatically with the data warehouse.

This server fits into the MCP ecosystem as a data connectivity solution, particularly for analytical workloads. It allows AI agents to access structured business data without needing custom database integrations. The implementation follows the protocol’s specifications for tool exposure and function calling.

Data engineers and AI developers would use this server when they need programmatic access to an Apache Doris warehouse. Typical users include teams building analytical assistants, automated reporting systems, or data quality monitoring tools that interface with Doris clusters.

Tools exposed

query_datacreate_tabledrop_tableload_datalist_schemasmonitor_performance

Resources

tablesschemasquery_results

Requirements

Apache Doris instance
Network access to Doris cluster

Use cases

An agent running analytical queries on customer behavior dataAn AI system monitoring real-time sales metrics from a Doris warehouseA service automatically maintaining database schemas for a BI platformAn assistant answering questions about data trends from warehouse tables