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MCP server · Cloud

Imply Druid MCP

MCP server for Imply Cloud/Druid - query and manage data through AI assistants

Unclaimed MIT last commit 10 months ago cloud
49Fair

Scored 22 hours ago · breakdown

About Imply Druid MCP

Imply Druid MCP is an MCP server published by yeongbin-hwang in the Cloud category: mCP server for Imply Cloud/Druid - query and manage data through AI assistants.

The repository has 1 stars and 0 forks, with the last commit 10 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/yeongbin-hwang/imply-druid-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (5)

cancel_queryCancel a running async query

Parameters not published.

execute_async_queryExecute a SQL query asynchronously for large datasets. Returns a query ID

Parameters not published.

execute_sql_queryExecute a SQL query synchronously and return results immediately

Parameters not published.

get_query_resultsRetrieve results from an async query using query ID

Parameters not published.

get_query_statusCheck the execution status of an async query

Parameters not published.

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Security checks

Static checks derived from the repository 22 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.1.1v0.1.1 · 26 Nov 2025Initial release - see CHANGELOG.md

README

imply-druid-mcp

PyPI version

A read-only MCP (Model Context Protocol) server for Imply Cloud/Druid databases. Query and explore your Druid data through Claude and other AI assistants.

Features

Supported ✅

  • SQL Query Execution
    • Synchronous query execution
    • Asynchronous query execution (for large datasets)
  • Query Management
    • Check query status
    • Retrieve query results
    • Cancel running queries
  • Table Operations
    • List all tables in project
    • Get table schema details
  • Dashboard Operations
    • List all dashboards
    • Get dashboard details
  • Data Cube Operations
    • List all data cubes
    • Get data cube details
    • Execute Pivot SQL queries

Not Supported ❌

  • Data Ingestion
  • Table/Schema Creation or Modification
  • User/Permission Management
  • Supervisor Management

Tools

Query Tools

Tool Description
execute_sql_query Execute a SQL query synchronously and return results immediately
execute_async_query Execute a SQL query asynchronously for large datasets. Returns a query ID
get_query_results Retrieve results from an async query using query ID
get_query_status Check the execution status of an async query
cancel_query Cancel a running async query

Table Tools

Tool Description
list_tables List all tables (datasources) in the Druid project
get_table_schema Get detailed schema information for a specific table

Dashboard Tools

Tool Description
list_dashboards List all dashboards in the Imply project
get_dashboard Get detailed information about a specific dashboard

Data Cube Tools

Tool Description
list_data_cubes List all data cubes in the Imply project
get_data_cube Get detailed data cube information including dimensions and measures
query_data_cube Execute Pivot SQL query against a data cube

API Mapping

This MCP server maps to the Imply Polaris API:

MCP Tool Imply API Endpoint
execute_sql_query POST /v1/projects/{projectId}/query/sql
execute_async_query POST /v1/projects/{projectId}/query/sql/statements
get_query_results GET /v1/projects/{projectId}/query/sql/statements/{queryId}/results
get_query_status GET /v1/projects/{projectId}/query/sql/statements/{queryId}
cancel_query DELETE /v1/projects/{projectId}/query/sql/statements/{queryId}
list_tables GET /v1/projects/{projectId}/tables
get_table_schema GET /v1/projects/{projectId}/tables/{tableName}
list_dashboards GET /v1/projects/{projectId}/dashboards
get_dashboard GET /v1/projects/{projectId}/dashboards/{dashboardId}
list_data_cubes GET /v1/projects/{projectId}/data-cubes
get_data_cube GET /v1/projects/{projectId}/data-cubes/{cubeName}
query_data_cube POST /v0/projects/{projectId}/pivot/data-cube-sql/query

Installation

Using uvx (Recommended)

uvx imply-druid-mcp

Using pip

pip install imply-druid-mcp
imply-druid-mcp

Using pipx

pipx install imply-druid-mcp
imply-druid-mcp

Configuration

Environment Variable Required Default Description
IMPLY_ORGANIZATION Yes - Imply Cloud organization name
IMPLY_REGION Yes - Region (e.g., us-east-1)
IMPLY_CLOUD_PROVIDER Yes - Cloud provider: aws, gcp, or azure
IMPLY_PROJECT_ID Yes - Imply project ID
IMPLY_API_KEY Yes* - Imply API key
IMPLY_ACCESS_TOKEN Yes* - OAuth access token (alternative)
LOG_LEVEL No INFO Logging level
DEFAULT_QUERY_TIMEOUT_MS No 30000 Default query timeout (ms)
MAX_QUERY_LENGTH No 10000 Maximum SQL query length

*Either IMPLY_API_KEY or IMPLY_ACCESS_TOKEN is required.

Claude Desktop Setup

Add to your Claude Desktop config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "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"
      }
    }
  }
}

Usage Examples

User: Show me all tables in my Druid project

Claude: [Uses list_tables]
- wikipedia (datasource)
- events (datasource)
- metrics (datasource)
User: Query the top 10 records from wikipedia table

Claude: [Uses execute_sql_query with "SELECT * FROM wikipedia LIMIT 10"]
[Results displayed]
User: Show me all data cubes

Claude: [Uses list_data_cubes]
- sales_cube: Sales Analytics (source: sales_table)
- events_cube: Events Tracking (source: events)
User: Query the sales data cube for top cities

Claude: [Uses query_data_cube with Pivot SQL syntax]
SELECT "DIM:city" AS "City", MEASURE_BY_ID('total_sales') AS "Sales"
FROM "datacube"."sales_cube"
ORDER BY 2 DESC
LIMIT 10

Development

git clone https://github.com/yeongbin-hwang/imply-druid-mcp.git
cd imply-druid-mcp
pip install -e ".[dev]"

License

MIT License - see LICENSE for details.

Resources

README fetched from the repository 22 hours ago. The original is authoritative.

Questions

About Imply Druid MCP

How do I install Imply Druid MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Imply Druid MCP safe to use with an AI agent?

Its trust score is 49 out of 100 (fair). It passes 3 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Imply Druid MCP still maintained?

The last commit was 10 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.