Redash Connector for AI agents.

17 live capabilities

Pull SQL query results and manage data visualizations through natural language.

Live agent request Redash / Connector

Waiting for input…

AI Agent

Why people use Redash

Redash SQL Query Management for Data Analysts

This Connector puts your Redash instance inside your agent. You can just ask for the latest revenue, and the agent handles the query execution and result fetching for you. You get the data you need in your chat window, ending the cycle of constant tab-switching.

What Vinkius changes

You get a natural language interface for your entire Redash data environment.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

Real-world use case 01

I need the latest revenue numbers

An analyst asks the agent to use `execute_query` on a specific ID to show the latest results in a table.
Real-world use case 02

Clean up my workspace

A BI lead asks the agent to use `archive_query` on all reports that haven't been touched in a year.
Real-world use case 03

Check the dashboard status

An engineer asks if the 'Sales Overview' dashboard is still active and uses `get_dashboard` to see its widgets.

Complete set · 17capabilities

The complete Redash capability set.

These are the exact actions your AI can choose when you ask it to work with Redash.

Capability set01 / 05

01—04

4 capabilities in this set.

Part of 17 available through Redash.

01 Capability
List queries
See a list of all queries in your Redash instance. This allows you to browse your entire query library quickly.
02 Capability
Test data source
Verify that a data source connection is actually working. Use this to troubleshoot connection issues before running reports.
03 Capability
Archive dashboard
Archive a dashboard to clean up your view. This helps keep your workspace organized by hiding old reports.
04 Capability
Archive query
Archive an old query to keep your workspace tidy. Use this to move inactive SQL objects out of your primary view.

Capability set02 / 05

05—08

4 capabilities in this set.

Part of 17 available through Redash.

05 Capability
Create dashboard
Create a new dashboard object in Redash. This allows you to build new visualization layouts using your agent.
06 Capability
Create query
Create a new SQL query object. Use this to save new queries directly through your AI client.
07 Capability
Execute query
Run a query and get results, including handling specific parameters. This is how you fetch fresh data on demand.
08 Capability
Get cached query result
Grab a previously saved result for a non-parameterized query. This provides an instant way to see data without re-running code.

Capability set03 / 05

09—11

3 capabilities in this set.

Part of 17 available through Redash.

09 Capability
Get dashboard
Fetch the details of a specific dashboard. Use this to see the configuration and widgets of an existing report.
10 Capability
Get data source
See the details and configuration of a specific data source. This helps you verify where your data is coming from.
11 Capability
Get job
Check the status of a running query task to see if it's finished. Use this to monitor progress on heavy data fetches.

Capability set04 / 05

12—14

3 capabilities in this set.

Part of 17 available through Redash.

12 Capability
Get query result
Retrieve the result of a query using its specific result ID. This is useful for grabbing specific data points from a previous run.
13 Capability
Get query
Get the details of a specific query object. Use this to inspect the SQL and metadata of any query in your account.
14 Capability
Update dashboard
Modify the configuration of an existing dashboard. Use this to change layout settings or update dashboard metadata.

Capability set05 / 05

15—17

3 capabilities in this set.

Part of 17 available through Redash.

15 Capability
Update data source
Change data source settings like SSH tunnel configurations. This allows you to manage your backend connections programmatically.
16 Capability
Update query
Edit the SQL or metadata of an existing query. Use this to make quick updates to your saved queries without the UI.
17 Capability
List dashboards
Get a paginated list of all dashboards in your workspace. This helps you navigate your visual reports efficiently.

Set up in minutes

One URL. Then ask Redash to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Redash from the conversation.

Choose your client

Live preview

Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_rRCXZFALibUsor8N9CjThd5ZlbvdaN0QeviiaDQu/mcp

Step 01

Open Connectors

In Claude Web or Claude Desktop, open Settings and choose Connectors.
Step 02

Add the URL

Choose Add custom connector, name it Redash, and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable Redash for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_rRCXZFALibUsor8N9CjThd5ZlbvdaN0QeviiaDQu/mcp

Step 01

Open MCP settings

On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
Step 02

Add the URL

Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Redash URL.
Step 03

Save and start

Save the connection and enable Redash in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "redash": {
      "url": "https://edge.vinkius.com/vk_preview_rRCXZFALibUsor8N9CjThd5ZlbvdaN0QeviiaDQu/mcp"
    }
  }
}

Step 01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Step 02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens
Step 03

Save the file

Cursor will automatically detect the new Connector
Step 04

Start using Redash

Open Agent mode in chat and ask: "Using Redash, help me...". 17 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "redash": {
      "url": "https://edge.vinkius.com/vk_preview_rRCXZFALibUsor8N9CjThd5ZlbvdaN0QeviiaDQu/mcp"
    }
  }
}

Step 01

Create MCP config

Create a .vscode/mcp.json file in your project root
Step 02

Add the server config

Paste the JSON configuration above
Step 03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Step 04

Start using Redash

Ask Copilot: "Using Redash, help me...". 17 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "redash": {
      "url": "https://edge.vinkius.com/vk_preview_rRCXZFALibUsor8N9CjThd5ZlbvdaN0QeviiaDQu/mcp"
    }
  }
}

Step 01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Step 02

Add the server

Paste the JSON configuration above into mcp_config.json
Step 03

Save and reload

Windsurf will detect the new server automatically
Step 04

Start using Redash

Open Cascade and ask: "Using Redash, help me...". 17 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "redash": {
      "url": "https://edge.vinkius.com/vk_preview_rRCXZFALibUsor8N9CjThd5ZlbvdaN0QeviiaDQu/mcp"
    }
  }
}

Step 01

Open Cline MCP Settings

Click the Connectors icon in the Cline sidebar panel
Step 02

Add remote server

Click "Add Connector" and paste the configuration above
Step 03

Enable the server

Toggle the server switch to ON
Step 04

Start using Redash

Ask Cline: "Using Redash, help me...". 17 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add redash --transport http "https://edge.vinkius.com/vk_preview_rRCXZFALibUsor8N9CjThd5ZlbvdaN0QeviiaDQu/mcp"

Step 01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed
Step 02

Add the Connector

Run the command above in your terminal
Step 03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session
Step 04

Start using Redash

Ask Claude: "Using Redash, show me...". 17 tools are ready

Where the request belongs

Work Redash can move forward.

Built around the request

This is for data professionals who are tired of the tab-switching tax. It's for the analyst who needs to pull a metric fast and the engineer who needs to manage query objects without the overhead of a full UI.

01

Data Analyst

Pulls specific metrics and iterates on SQL queries during meetings without leaving their chat window.

02

BI Lead

Monitors dashboard statuses and shares high-level insights across the team via chat.

03

Data Engineer

Tests data source connections and manages query objects programmatically to automate workflows.

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors

01 7 capabilities

Apache Superset

Connect your AI to Apache Superset. Explore BI dashboards, extract chart data, and run live SQL Lab analytics directly from your terminal.

02 7 capabilities

Metabase (Business Intelligence & Analytics)

Manage your BI environment via Metabase. list dashboards, retrieve visual questions (cards), and search data entities.

03 10 capabilities

Mode Analytics

Manage collaborative data analysis via Mode Analytics. list spaces, query reports, and trigger report runs directly from any AI agent.

04 7 capabilities

Looker (Business Intelligence & Data)

Manage your BI environment via Looker. list dashboards, execute inline queries, and audit saved Looks.

05 10 capabilities

Omni BI Intelligence

Interact with Omni BI dashboards, models, and data exports. run queries and track metrics directly from your AI agent.

06 7 capabilities

Tableau

Access workbooks, views, data sources, and dashboard insights from Tableau. the enterprise BI and analytics platform.

Bring your own AI

Change the model, client or framework. Keep Redash connected.

Before you connect

Questions about Redash.

The practical details behind the request, access and result.

Can I use Redash MCP to run SQL queries?

Yes. You can ask your agent to execute specific queries and get the results back directly in your chat. It handles the execution and brings the data to you.

Does the Redash MCP support parameterized queries?

Yes, it does. Your agent can handle queries that require specific parameters, like date ranges or user IDs, to get the exact data you need.

Can I manage my dashboards with the Redash MCP?

You can. Your agent can list your dashboards, retrieve specific details about them, and even archive old ones to keep your workspace organized.

How do I check if my data sources are connected?

Just ask your agent to check the status of your data sources. It can inspect the connections and even help you update configurations like SSH tunnels.

Can I see the results of a query without running it again?

Yes, if the query isn't parameterized, your agent can fetch the last cached result for you instantly.

Is the Redash MCP good for data analysts?

It's a huge time saver for analysts who need to pull metrics quickly. Instead of manual navigation, you can just ask for the data and get it immediately.

How do I run a query and get the results?

Use the execute_query capability. If the query takes time, it returns a job_id. You can then use get_job to check the status, and once successful, use get_query_result with the provided ID to fetch the data.

Can I update the SQL of an existing query through the agent?

Yes! Use the update_query capability by providing the Query ID and the new SQL string in the query parameter. You can also update the name or data source ID.

How do I find a specific dashboard and its widgets?

First, use list_dashboards to find the slug of the dashboard you need. Then, use the get_dashboard capability with that slug to retrieve all its configuration details and widgets.

One connection away

Give your agent a direct line to Redash.

Connect Redash once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available