Imply Druid MCP
I

Imply Druid MCP

A read - only MCP server for Imply Cloud/Druid databases, supporting querying and exploring Druid data via AI assistants such as Claude, and providing functions for SQL queries, table management, dashboard, and dataset operations.
2 points
5.8K

What is the Imply Druid MCP server?

This is a bridge server that connects AI assistants (such as Claude) with the Imply Druid database. It allows you to query the database using natural language, view table structures, explore data cubes and dashboards without writing complex SQL statements or using professional tools.

How to use the Imply Druid MCP server?

First, configure the server connection in Claude Desktop, and then you can directly ask Claude questions about the database. For example, you can ask 'Show all tables' or 'Query the top 10 records of sales data', and Claude will automatically call the corresponding tools to obtain the results.

Applicable scenarios

Suitable for users such as data analysts, business personnel, and product managers who need to quickly query and analyze data in the Druid database. Particularly suitable for scenarios where users need to query frequently but do not want to learn complex SQL syntax, or need to quickly explore the data structure and content.

Main features

SQL query execution
Supports both synchronous and asynchronous SQL queries. Synchronous queries return results immediately, suitable for small datasets; asynchronous queries are suitable for large datasets and return a query ID for subsequent result retrieval.
Query management
You can check the query status, obtain query results, and cancel running queries to comprehensively manage your database query tasks.
Table operations
List all tables (data sources) in the project and view the detailed structure information of each table, including field names, data types, etc.
Dashboard operations
Browse all dashboards in the Imply project and view the detailed configuration and content of the dashboards to help you understand the existing data visualizations.
Data cube operations
List all data cubes, view detailed information such as cube dimensions and metrics, and support querying data cubes using Pivot SQL syntax.
Advantages
Natural language interaction: Query the database using simple natural language without SQL expertise
Rapid exploration: Quickly browse the database structure, tables, and dashboards to understand the overall data situation
Asynchronous processing: Supports asynchronous queries for large datasets to avoid long waiting times
Easy integration: Easily integrate into Claude Desktop with simple configuration
Read-only security: Only provides query functions and will not accidentally modify or delete data
Limitations
Read-only operations: Unable to create, modify, or delete tables, data, or users
Requires API key: Need to configure the API key or access token of Imply Cloud
Network-dependent: Requires a stable network connection to access the Imply Cloud service
Query length limit: There is a maximum length limit for SQL queries (default 10000 characters)
Specific platform: Primarily targeted at Imply Cloud/Druid and not applicable to other databases

How to use

Install the server
Install the Imply Druid MCP server using uvx, pip, or pipx. It is recommended to use uvx as it automatically manages the virtual environment.
Configure environment variables
Set the necessary environment variables, including the organization name, region, cloud provider, project ID, and API key. This information can be obtained from the Imply Cloud console.
Configure Claude Desktop
Add the MCP server configuration to the Claude Desktop configuration file, specifying the command, parameters, and environment variables.
Start using
Restart Claude Desktop, and then you can start querying your Druid database using natural language.

Usage examples

Explore the database structure
When you first start working on a Druid project, you can quickly understand what tables and data structures are in the database.
Quick data query
When you need to view sample data in a table or perform a simple query, you can directly describe it in natural language.
Analyze data cubes
When there are predefined data cubes in the project, you can quickly query and analyze multi - dimensional data.
Check query status
When you have executed a long - running asynchronous query, you can check the query progress at any time.

Frequently Asked Questions

Do I need an Imply Cloud account to use this server?
Can this server modify the data in the database?
Will the query time out when querying large datasets?
Where can I find my project ID and API key?
Which cloud providers does this server support?
What should I do if the query fails?

Related resources

Official documentation of the MCP protocol
Understand the detailed specifications and design concepts of the Model Context Protocol
Imply Cloud documentation
The official documentation of Imply Cloud, including API references and user guides
Apache Druid official website
The official website of the Apache Druid real - time analytics database
GitHub repository
The source code and latest version of the Imply Druid MCP server
PyPI project page
The project page on the Python Package Index, including installation instructions and version history

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "imply-druid": {
      "command": "uvx",
      "args": ["imply-druid-mcp"],
      "env": {
        "IMPLY_ORGANIZATION": "your-org",
        "IMPLY_REGION": "us-east-1",
        "IMPLY_CLOUD_PROVIDER": "aws",
        "IMPLY_PROJECT_ID": "your-project-id",
        "IMPLY_API_KEY": "your-api-key"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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