Hickey_MCP
Personal MCP server for Snowflake and Tableau integration, enabling SQL queries and database/table listing as well as Tableau workbook, view, datasource management.
README
Hickey_MCP
Personal MCP (Model Context Protocol) server built with FastMCP for Tableau and Snowflake integration.
Features
Snowflake Tools
- execute_snowflake_query: Execute SQL queries and retrieve results
- list_snowflake_databases: List all available databases
- list_snowflake_tables: List tables in a specific database and schema
Tableau Tools
- list_tableau_workbooks: List all workbooks on Tableau Server
- get_tableau_workbook_views: Get all views in a specific workbook
- list_tableau_datasources: List all datasources on Tableau Server
- refresh_tableau_datasource: Trigger a refresh of a datasource
Setup
1. Clone the repository
git clone https://github.com/YOUR_USERNAME/Hickey_MCP.git
cd Hickey_MCP
2. Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
3. Install dependencies
pip install -r requirements.txt
4. Configure environment variables
Copy .env.example to .env and fill in your credentials:
cp .env.example .env
Edit .env with your actual credentials:
- Snowflake account, user, password, warehouse, database, and schema
- Tableau server URL, username, password, and site ID
5. Run the server
python hickey_mcp_server.py
Usage with Claude Desktop
Add this configuration to your Claude Desktop config file:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"hickey-mcp": {
"command": "python",
"args": ["C:/Users/kylec/OneDrive - CHG Healthcare/Hickey_MCP/hickey_mcp_server.py"]
}
}
}
Restart Claude Desktop after adding this configuration.
Security Notes
- Never commit your
.envfile or any credentials to the repository - The
.gitignorefile is configured to exclude sensitive files - Keep your Snowflake and Tableau credentials secure
- This is a personal server - do not share credentials or expose the server publicly
Example Queries
Once connected, you can ask Claude to:
- "List all databases in Snowflake"
- "Show me the tables in the ANALYTICS schema"
- "Execute this query on Snowflake: SELECT * FROM customers LIMIT 10"
- "List all Tableau workbooks"
- "Get the views from workbook ID xyz123"
- "Refresh datasource abc456"
Development
To add more tools, use the @mcp.tool() decorator in hickey_mcp_server.py:
@mcp.tool()
def your_new_tool(param: str) -> str:
"""
Tool description
Args:
param: Parameter description
Returns:
Return value description
"""
# Your implementation
pass
License
Personal use only.
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.