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StarRocks MCP Server: Blazing-Fast Analytics & Seamless Scaling - MCP Implementation

StarRocks MCP Server: Blazing-Fast Analytics & Seamless Scaling

StarRocks MCP Server: Future-proof your data operations with blazing-fast analytics, seamless scaling, and enterprise-grade reliability – crushes complex queries effortlessly!" )

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About StarRocks MCP Server

What is StarRocks MCP Server: Blazing-Fast Analytics & Seamless Scaling?

StarRocks MCP Server acts as a bridge between AI models and StarRocks databases, enabling seamless interaction through a standardized protocol. This robust middleware empowers developers to execute complex queries, manipulate data schemas, and scale operations effortlessly. By abstracting database interactions into well-defined tools, it ensures lightning-fast analytics without compromising flexibility.

Key Features of StarRocks MCP Server: Blazing-Fast Analytics & Seamless Scaling?

  • High-Performance Query Execution: Leverage optimized SELECT queries for real-time analytics.
  • Schema Management: Dynamically list tables, inspect structures, and create new tables programmatically.
  • Write Operations: Safely perform INSERT/UPDATE/DELETE actions in non-readonly environments.
  • Configurable Access Control: Toggle read-only mode to enforce strict data integrity policies.
  • Protocol-Compliant Design: Fully aligned with Model Control Protocol standards for interoperability.

StarRocks MCP Server Features

How to Use StarRocks MCP Server: Step-by-Step Guide

Let’s dive into the essentials:

  1. Installation:
    pip install starrocks-mcp # Or via source for customization
  2. Configuration: Specify database credentials and access modes in your deployment script.
  3. Execution:
    server start --endpoint=localhost:8080 --readonly=false
  4. Tool Invocation: Use the mcp_client query "SELECT * FROM metrics" syntax for programmatic interactions.

Use Cases & Real-World Applications

Unleash the server’s potential in:

  • Automated model training pipelines requiring frequent data sampling
  • Real-time dashboard backends needing sub-second query responses
  • CI/CD workflows for schema validation and database migrations
  • Multi-tenant environments with role-based access restrictions

StarRocks MCP Server FAQ

Frequently Asked Questions

Does it support concurrent operations?

Yes! Built-in connection pooling ensures smooth handling of parallel requests without performance degradation.

What’s the minimum Python version required?

Python 3.8+ is mandatory to leverage asynchronous features and type hints fully.

Can I customize the protocol?

Absolutely. Extend base classes in the mcp.adapter module to tailor message formats to your architecture.

For licensing details, view the MIT License documentation.

Content

StarRocks MCP Server

A Model Control Protocol (MCP) server for interacting with StarRocks databases. This server provides a standardized interface for AI models to query and manipulate StarRocks databases through a set of defined tools.

Overview

The StarRocks MCP Server allows AI models to:

  • Execute SELECT queries on StarRocks databases
  • List available tables
  • Describe table schemas
  • Create new tables (when not in read-only mode)
  • Execute write operations like INSERT, UPDATE, DELETE (when not in read-only mode)

Installation

Prerequisites

  • Python 3.8+
  • StarRocks database instance
  • SQLAlchemy
  • MCP Python library

Install from source

git clone https://github.com/yourusername/mcp-server-starrocks.git
cd mcp-server-starrocks
pip install -e .

Install from Smithery

npm install @smithery/sdk @modelcontextprotocol/sdk

Using MCP Inspector

npx @modelcontextprotocol/inspector uv --directory ~/mcp-server-starrocks run mcp-server-starrocks

Usage

Starting the server

python -m mcp_server_starrocks.server --host <starrocks-host> --port <starrocks-port> --user <username> --database <database-name> [--password <password>] [--readonly]

Command-line arguments:

  • --host: StarRocks server host (required)
  • --port: StarRocks server port (default: 9030)
  • --user: StarRocks username (required)
  • --database: StarRocks database name (required)
  • --password: StarRocks password (if required)
  • --readonly: Run the server in read-only mode (optional)

Available Tools

The server provides the following tools:

Read-only tools:

  • read-query: Execute a SELECT query on the StarRocks database
  • list-tables: List all tables in the StarRocks database
  • describe-table: Describe the schema of a specific table

Write tools (available when not in read-only mode):

  • write-query: Execute an INSERT, UPDATE, or DELETE query
  • create-table: Create a new table in the StarRocks database

Examples

Listing tables

{
    "name": "list-tables",
    "arguments": {}
}

Executing a SELECT query

{
    "name": "read-query",
    "arguments": {
        "query": "SELECT FROM my_table LIMIT 10"
    }
}

Describing a table

{
    "name": "describe-table",
    "arguments": {
        "table_name": "my_table"
    }
}

Creating a table (when not in read-only mode)

{
    "name": "create-table",
    "arguments": {
        "query": "CREATE TABLE new_table (id INT, name VARCHAR(100))"
    }
}

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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