redash-mcp-server

redash-mcp-server

Enables querying and managing Redash data sources, queries, dashboards, alerts, and users through the Model Context Protocol.

Category
Visit Server

README

Redash MCP Server

MCP server for the Redash API. Exposes Redash's core data operations as tools for the Model Context Protocol.

Setup

# Install dependencies
uv sync

# Set your Redash API key and URL
export REDASH_API_KEY=your_api_key
export REDASH_URL=https://redash.example.com

# Run the server
uv run python -m redash_mcp

By default the server uses the stdio transport for local MCP clients such as Claude Desktop.

Hosted MCP

The server can be deployed as a remote MCP endpoint over Streamable HTTP:

uv run python -m redash_mcp --transport streamable-http

Send your Redash API key in the request header:

Authorization: Key your_api_key

Configuration (Hosted / Streamable HTTP)

If your MCP client supports remote servers over HTTP, the JSON config should include the hosted URL and the Authorization header.

Example:

{
  "mcpServers": {
    "redash": {
      "url": "https://your-mcp-host.com/mcp",
      "headers": {
        "Authorization": "Key your_api_key"
      }
    }
  }
}

Notes:

  • Replace your_api_key with your real Redash API key.
  • The header must be exactly Authorization.
  • The value must include the Key prefix.

Claude Code (CLI)

claude mcp add --transport http redash https://your-mcp-host.com/mcp \
  --header "Authorization: Key your_api_key"

Replace your_api_key with your real Redash API key.

Configuration (Claude Desktop / stdio)

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "redash": {
      "command": "uv",
      "args": ["--directory", "/absolute/path/to/redash-mcp-server", "run", "python", "-m", "redash_mcp"],
      "env": {
        "REDASH_API_KEY": "your_api_key",
        "REDASH_URL": "https://redash.example.com"
      }
    }
  }
}

Available Tools

Resource Tools
Queries list_queries, get_query, create_query, update_query, search_queries, get_recent_queries, archive_query, refresh_query
Dashboards list_dashboards, get_dashboard, create_dashboard, update_dashboard
Data Sources list_data_sources, get_data_source, get_data_source_schema, check_data_source_connection
Query Results get_query_result, execute_query
Users list_users, get_user
Alerts list_alerts, get_alert, create_alert
Visualizations list_query_visualizations

Environment Variables

Variable Description Default
REDASH_API_KEY Redash API key (required for stdio transport)
REDASH_URL Base URL of your Redash instance http://localhost:5000
REDASH_MCP_TRANSPORT Transport type (stdio or streamable-http) stdio
REDASH_MCP_HOST Host to bind HTTP server 127.0.0.1
REDASH_MCP_PORT Port for HTTP server 8000
REDASH_MCP_STREAMABLE_HTTP_PATH HTTP path for MCP endpoint /mcp

Docker

# Build the image
docker build -t redash-mcp .

docker run -i --rm \
  -e REDASH_API_KEY=your_api_key \
  -e REDASH_URL=https://redash.example.com \
  redash-mcp

Configuration (Claude Desktop with Docker / stdio)

{
  "mcpServers": {
    "redash": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "-e", "REDASH_API_KEY", "-e", "REDASH_URL", "redash-mcp"],
      "env": {
        "REDASH_API_KEY": "your_api_key",
        "REDASH_URL": "https://redash.example.com"
      }
    }
  }
}

Development

# Install with dev dependencies
uv sync --extra dev

# Run tests
uv run pytest tests/ -v

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured