Redash MCP server for AI agents

The Redash MCP server enables seamless integration between Redash and AI assistants like Claude, allowing you to access and manage your Redash queries, dashboards, and visualizations through a Model Context Protocol interface.

Prerequisites

Before installing the Redash MCP server, ensure you have:

Node.js (v18 or later)
npm or yarn
Access to a Redash instance
Redash API key

Installation

Follow these steps to install and set up the Redash MCP server:

Clone the repository:

git clone https://github.com/suthio/redash-mcp.git
cd redash-mcp

Install dependencies:
```
npm install
```

Create a .env file with your Redash configuration:

REDASH_URL=https://your-redash-instance.com
REDASH_API_KEY=your_api_key

Build the project:
```
npm run build
```
Start the server:
```
npm start
```

Configuration Options

The server requires the following environment variables:

REDASH_URL: Your Redash instance URL (e.g., https://redash.example.com)
REDASH_API_KEY: Your Redash API key

Optional variables:

REDASH_TIMEOUT: Timeout for API requests in milliseconds (default: 30000)
REDASH_MAX_RESULTS: Maximum number of results to return (default: 1000)

Integration with Claude for Desktop

To use this MCP server with Claude for Desktop:

Locate your Claude for Desktop configuration file:
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the following configuration (adjust as needed):

{
  "mcpServers": {
    "redash": {
      "command": "npx",
      "args": [
         "-y",
         "@suthio/redash-mcp"
      ],
      "env": {
        "REDASH_API_KEY": "your-api-key",
        "REDASH_URL": "https://your-redash-instance.com"
      }
    }
  }
}

Available Tools

Query Management

List queries: View all available queries in your Redash instance
Get query details: Retrieve information about a specific query
Create queries: Create new queries in Redash
Update queries: Modify existing queries
Archive queries: Soft-delete queries you no longer need
List data sources: View available data sources for query creation

Query Execution

Execute query: Run a saved query and return results
Execute ad-hoc query: Run a query without saving it to Redash

Dashboard Management

List dashboards: View all available dashboards
Get dashboard details: Retrieve information about dashboards and their visualizations
Get visualization details: Access specific visualization information

Visualization Management

Create visualizations: Create new visualizations for queries
Update visualizations: Modify existing visualizations
Delete visualizations: Remove visualizations you no longer need

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "redash" '{"command":"npx","args":["-y","@suthio/redash-mcp"],"env":{"REDASH_API_KEY":"your-api-key","REDASH_URL":"https://your-redash-instance.com"}}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "redash": {
            "command": "npx",
            "args": [
                "-y",
                "@suthio/redash-mcp"
            ],
            "env": {
                "REDASH_API_KEY": "your-api-key",
                "REDASH_URL": "https://your-redash-instance.com"
            }
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "redash": {
            "command": "npx",
            "args": [
                "-y",
                "@suthio/redash-mcp"
            ],
            "env": {
                "REDASH_API_KEY": "your-api-key",
                "REDASH_URL": "https://your-redash-instance.com"
            }
        }
    }
}

3. Restart Claude Desktop for the changes to take effect