MCP For Claude Marketplace
Redash

Redash MCP Connector for Claude

A+

Connect to Redash to manage SQL queries, execute data visualizations, and monitor dashboards directly from your AI agent.

17 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Redash instance to any AI agent to interact with your data through natural language. This server allows you to bridge the gap between raw data and actionable insights.

What you can do

  • Query Management — List, create, and update SQL queries. Archive old queries to keep your workspace clean.
  • Data Execution — Execute queries on-demand, handle parameters, and fetch fresh or cached results.
  • Dashboard Access — Browse and retrieve dashboard configurations and visualizations.
  • Data Source Inspection — Check the status and configuration of your connected data sources.
  • Job Tracking — Monitor the progress of long-running query executions (jobs).

How it works

  1. Subscribe to this server
  2. Provide your Redash Base URL and API Key
  3. Start asking your AI to run reports or fetch data metrics

Who is this for?

  • Data Analysts — Quickly iterate on SQL queries and check results without switching tabs.
  • Business Intelligence Leads — Monitor dashboard statuses and share insights via chat.
  • Engineers — Test data source connections and manage query objects programmatically through the agent.
sql-queriesdata-visualizationdashboardsredash-apidata-insights

17 tools expose this connector's capabilities to your AI agent.

archive_dashboard

Archive the specified dashboard

archive_query

Archive the specified query

create_dashboard

Create a new dashboard object

create_query

Create a new query object

execute_query

Parameters must be provided for parameterized queries. Initiates a new query execution or returns a cached result

get_cached_query_result

Get a cached result for a query ID (non-parameterized only)

get_dashboard

Returns an individual dashboard object

get_data_source

Get data source details

get_job

SUCCESS includes query_result_id. Returns the status of a query task (job)

get_query_result

Returns a query result by its result ID

get_query

Get an individual query object

list_dashboards

Returns a paginated array of dashboard objects

list_queries

List Redash queries

test_data_source

Test connection for a data source

update_dashboard

Edit an existing dashboard object

update_data_source

Configure a data source (e.g., SSH tunnel)

update_query

Edit an existing query object

See how to talk to your AI agent using Redash.

List all my Redash queries.

I've retrieved your queries. You have 12 active queries, including 'Monthly Revenue' (ID: 45) and 'User Growth' (ID: 82). Would you like to see the details of a specific one?

Execute query ID 45 and show me the fresh results.

Starting execution for query 45... The job is finished. Here are the results: Total Revenue for October was $124,500 across 1,200 transactions.

Show me the 'Sales Overview' dashboard details.

I've fetched the 'Sales Overview' dashboard (slug: sales-overview). It contains 4 widgets: Revenue Chart, Regional Breakdown, Top Sales Reps, and Monthly Target Progress.

Use the `execute_query` tool. 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.

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