Integrate Redash data visualization software for seamless natural language querying, dashboard creation, and data analys
by Enable Claude to query your database directly using natural language
Example: Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly
Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster
Generate complex reports and analytics without leaving conversation
Example: Analyze sales trends, cohort retention, user behavior patterns conversationally
Democratize data access—non-technical team members can query databases
Understand database structure, relationships, and data models
Example: 'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Run data quality queries to catch anomalies and inconsistencies
Example: Find duplicate records, missing values, orphaned foreign keys automatically
Maintain data integrity with less manual SQL work
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Redash reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Redash for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Useful MCP listing: Redash is the kind of server we cite when onboarding engineers to host + tool permissions.
Redash has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Redash is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: Redash surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Redash benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: Redash surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Redash is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired Redash into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Claude Desktop configuration
{
"mcpServers": {
"redash": {
"command": "npx",
"args": [
"-y",
"@suthio/redash-mcp"
],
"env": {
"REDASH_API_KEY": "your-api-key",
"REDASH_URL": "https://your-redash-instance.com"
}
}
}
}Connects AI assistants to Redash instances for running queries, managing dashboards, and visualizing data through natural language commands.
Redash is a community-built MCP server published by suthio that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Redash data visualization software for seamless natural language querying, dashboard creation, and data analys It is categorized under databases, analytics data.
You can install Redash in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
Model Context Protocol (MCP) server for integrating Redash with AI assistants like Claude.
<a href="https://glama.ai/mcp/servers/j9bl90s3tw"> <img width="380" height="200" src="https://glama.ai/mcp/servers/j9bl90s3tw/badge" alt="Redash Server MCP server" /> </a>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 keyOptional variables:
REDASH_TIMEOUT: Timeout for API requests in milliseconds (default: 30000)REDASH_MAX_RESULTS: Maximum number of results to return (default: 1000)REDASH_EXTRA_HEADERS: Extra HTTP headers to include with every Redash request. Accepts either a JSON object string or a semicolon/comma-separated list of key=value pairs.Examples:
JSON (recommended):
REDASH_EXTRA_HEADERS='{"CF-Access-Client-Id":"<client_id>","CF-Access-Client-Secret":"<client_secret>"}'
Key/value list:
REDASH_EXTRA_HEADERS=CF-Access-Client-Id=<client_id>;CF-Access-Client-Secret=<client_secret>
Notes:
Authorization header is managed by the server (Key <REDASH_API_KEY>) and cannot be overridden.Clone this 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
# Optional: Cloudflare Access (or other gateway) headers
# REDASH_EXTRA_HEADERS='{"CF-Access-Client-Id":"<client_id>","CF-Access-Client-Secret":"<client_secret>"}'
Build the project:
npm run build
Start the server:
npm start
To use this MCP server with Claude for Desktop, configure it in 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 (edit paths 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"
}
}
}
}
list-queries: List all available queries in Redashget-query: Get details of a specific querycreate-query: Create a new query in Redashupdate-query: Update an existing query in Redasharchive-query: Archive (soft-delete) a querylist-data-sources: List all available data sourcesexecute-query: Execute a query and return resultsexecute-adhoc-query: Execute an ad-hoc query without saving it to Redashget-query-results-csv: Get query results in CSV format (supports optional refresh for latest data)list-dashboards: List all available dashboardsget-dashboard: Get dashboard details and visualizationsget-visualization: Get details of a specific visualizationcreate-visualization: Create a new visualization for a queryupdate-visualization: Update an existing visualizationdelete-visualization: Delete a visualizationRun in development mode:
npm run dev
npm test
npm run e2e:test
E2E tests use these default values (can be overridden with environment variables):
REDASH_URL: https://demo.redash.ioREDASH_API_KEY: test_api_keyOverride example:
REDASH_URL=https://your-instance.com REDASH_API_KEY=your_key npm run e2e:test
npm run inspector
MIT
Time estimate: 15-30 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
Compatibility
✓ Use when
Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.
✗ Avoid when
Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.
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