Apache Doris MCP Server: High-Performance Analytics Gateway

Empower your data workflows with Apache Doris MCP Server – the seamless gateway to high-performance analytics for Apache Doris & VeloDB clusters!

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About Apache Doris MCP Server

What is Apache Doris MCP Server: High-Performance Analytics Gateway?

Apache Doris MCP Server acts as a high-performance analytics gateway, bridging the Model Context Protocol (MCP) ecosystem with Apache Doris—a lightning-fast MPP database. This integration enables seamless access to Doris' capabilities through standardized MCP interfaces, making it easier to embed real-time analytics into applications or workflows without deep database expertise.

How to Use Apache Doris MCP Server: High-Performance Analytics Gateway?

Getting started is straightforward. First, set up your environment with required credentials and dependencies. Run the server using the provided command template, specifying your Doris connection details. For development, sync dependencies, activate the virtual environment, and adjust environment variables. The server exposes a web interface for interactive exploration and can be deployed via UV tooling for production use.

  
# Example startup command
DORIS_HOST=your_host DORIS_PORT=9030 DORIS_USER=admin DORIS_PASSWORD=your_pwd uv run --with mcp-doris --python 3.13 mcp-doris

Apache Doris MCP Server Features

Key Features of Apache Doris MCP Server: High-Performance Analytics Gateway?

✅ Low-latency querying: Leverages Doris' columnar storage and vectorized execution for rapid data scans.
✅ Seamless MCP integration: Adheres to MCP standards for compatibility with tools like inspectors and orchestrators.
✅ Environment-aware configuration: Uses environment variables for secure, flexible setup without modifying code.
✅ Developer-friendly workflow: Built-in hot-reload and browser-based UI for iterative development.

Use Cases of Apache Doris MCP Server: High-Performance Analytics Gateway?

• Real-time dashboarding: Expose Doris datasets to visualization tools via MCP's standardized endpoints.
• Data pipeline enrichment: Use the server as a queryable layer in ETL processes for complex aggregations.
• AI model training: Fetch pre-processed data slices directly from Doris for machine learning workflows.

Apache Doris MCP Server FAQ

FAQ from Apache Doris MCP Server: High-Performance Analytics Gateway?

Q: Does this support SSL/TLS connections?
A: Yes, configure the DORIS_SSL_ENABLED env var to enable encrypted communication.
Q: How is query performance optimized?
A: The server batches multiple requests and uses Doris' native vectorized execution engine for maximum throughput.
Q: Can I use this with other databases?
A: The MCP protocol is database-agnostic—look for official/unofficial MCP servers for other systems.

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