Redash▌
by suthio
Integrate Redash data visualization software for seamless natural language querying, dashboard creation, and data analys
Integrates with Redash data visualization platform to enable natural language querying, dashboard creation, and data source management for analyzing and visualizing data through conversational interfaces.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Data analysts querying Redash through conversational interfaces
- / Teams automating dashboard management and reporting
- / Developers integrating Redash data into AI workflows
capabilities
- / Execute Redash queries and retrieve results
- / Create and update queries via API
- / List available dashboards and visualizations
- / Manage data sources for query creation
- / Archive and organize existing queries
what it does
Connects AI assistants to Redash instances for running queries, managing dashboards, and visualizing data through natural language commands.
about
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.
how to install
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.
license
MIT
Redash is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Redash MCP Server
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>Features
- Connect to Redash instances via the Redash API
- List available queries and dashboards as resources
- Execute queries and retrieve results
- Create and manage queries (create, update, archive)
- List data sources for query creation
- Get dashboard details and visualizations
Prerequisites
- Node.js (v18 or later)
- npm or yarn
- Access to a Redash instance
- Redash API key
Environment Variables
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)REDASH_EXTRA_HEADERS: Extra HTTP headers to include with every Redash request. Accepts either a JSON object string or a semicolon/comma-separated list ofkey=valuepairs.
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:
- The
Authorizationheader is managed by the server (Key <REDASH_API_KEY>) and cannot be overridden. - All extra headers are added to every request made to Redash.
Installation
-
Clone this repository:
git clone https://github.com/suthio/redash-mcp.git cd redash-mcp -
Install dependencies:
npm install -
Create a
.envfile 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
Usage with Claude for Desktop
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"
}
}
}
}
Available Tools
Query Management
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 sources
Query Execution
execute-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)
Dashboard Management
list-dashboards: List all available dashboardsget-dashboard: Get dashboard details and visualizationsget-visualization: Get details of a specific visualization
Visualization Management
create-visualization: Create a new visualization for a queryupdate-visualization: Update an existing visualizationdelete-visualization: Delete a visualization
Development
Run in development mode:
npm run dev
Testing
Unit Tests
npm test
E2E Tests
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_key
Override example:
REDASH_URL=https://your-instance.com REDASH_API_KEY=your_key npm run e2e:test
Manual Testing
npm run inspector
Version History
- v1.1.0: Added query management functionality (create, update, archive)
- v1.0.0: Initial release
License
MIT
FAQ
- What is the Redash MCP server?
- Redash is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Redash?
- This profile displays 64 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Direct Database Queries from AI
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
Data Analysis & Reporting
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
Schema Exploration
Understand database structure, relationships, and data models
Example
'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Data Validation & Quality Checks
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor with MCP support
- ›Database credentials (read-only recommended for safety)
- ›Network access from Claude client to database
- ›Understanding of database security and access control
Time Estimate
15-30 minutes including configuration and testing
Installation Steps
- 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
- 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
- 3.Provide connection string: host, port, database, username, password
- 4.Restart Claude Desktop to load MCP server
- 5.Test connection: 'List all tables in database'
- 6.Run simple query: 'Show me 5 rows from users table'
- 7.Verify results and permissions are correct
- 8.Document query patterns for team use
Troubleshooting
- ⚠Connection refused: Check database is running and network accessible
- ⚠Authentication failed: Verify credentials, check user permissions
- ⚠Claude can't see tables: Grant appropriate read permissions to database user
- ⚠Slow queries: Add indexes, limit result set size, use read replicas
- ⚠MCP server not loading: Check config syntax, restart Claude Desktop
Best Practices▌
✓ Do
- +Use read-only database credentials to prevent accidental writes
- +Connect to read replica, not production primary database
- +Set query timeout limits to prevent long-running queries
- +Document database schema and common queries for AI context
- +Monitor query performance and optimize slow queries
- +Use connection pooling for better performance
- +Test with non-production data first
✗ Don't
- −Don't use production write credentials—risk of data corruption
- −Don't query production database during peak traffic hours
- −Don't expose sensitive PII without proper access controls
- −Don't skip query result validation—AI can misinterpret schema
- −Don't allow unlimited result set sizes—set LIMIT clauses
- −Don't share database credentials in plain text config files
💡 Pro Tips
- ★Create database views for common queries to simplify AI access
- ★Add schema comments/descriptions so AI understands column meanings
- ★Use semantic table/column names ('customer_lifetime_value' not 'clv')
- ★Set up query logging to audit what Claude is querying
- ★Create saved query templates for recurring analysis
- ★Combine with data visualization tools for better insights
Technical Details▌
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
- Model Context Protocol (MCP)
- Database-specific protocols (PostgreSQL, MySQL, MongoDB)
Compatibility
- PostgreSQL
- MySQL
- SQLite
- MongoDB
- Redis
When to Use This▌
✓ 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.
Integration▌
- →Read replica connection for analytics queries
- →Database view layer to abstract complex joins
- →Query result caching for repeated questions
- →Audit logging of all AI-generated queries
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★64 reviews- ★★★★★Kwame Thomas· Dec 24, 2024
Redash reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Mateo Mensah· Dec 24, 2024
I recommend Redash for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Yuki Robinson· Dec 20, 2024
Useful MCP listing: Redash is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Yuki Tandon· Dec 16, 2024
Redash has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Zaid Bhatia· Nov 15, 2024
Redash is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Naina Iyer· Nov 15, 2024
Strong directory entry: Redash surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Mateo Rahman· Nov 11, 2024
According to our notes, Redash benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Ama Sharma· Oct 6, 2024
Strong directory entry: Redash surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Naina Menon· Oct 6, 2024
Redash is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Naina Gupta· Oct 2, 2024
We wired Redash into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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