MCP Server for Snowflake
Enables read-only querying of Snowflake databases through Claude, supporting multiple authentication methods and SQL operations like SELECT, SHOW, DESCRIBE.
README
MCP Server for Snowflake
A Model Context Protocol (MCP) server for performing read-only operations against Snowflake databases. This tool enables Claude to securely query Snowflake data without modifying any information.
Features
- Flexible authentication to Snowflake using either:
- Service account authentication with private key
- External browser authentication for interactive sessions
- Connection pooling with automatic background refresh to maintain persistent connections
- Support for querying multiple views and databases in a single session
- Support for multiple SQL statement types (SELECT, SHOW, DESCRIBE, EXPLAIN, WITH)
- MCP-compatible handlers for querying Snowflake data
- Read-only operations with security checks to prevent data modification
- Support for Python 3.12+
- Stdio-based MCP server for easy integration with Claude Desktop
Available Tools
The server provides the following tools for querying Snowflake:
- list_databases: List all accessible Snowflake databases
- list_views: List all views in a specified database and schema
- describe_view: Get detailed information about a specific view including columns and SQL definition
- query_view: Query data from a view with an optional row limit
- execute_query: Execute custom read-only SQL queries (SELECT, SHOW, DESCRIBE, EXPLAIN, WITH) with results formatted as markdown tables
Installation
Prerequisites
- Python 3.12 or higher
- A Snowflake account with either:
- A configured service account (username + private key), or
- A regular user account for browser-based authentication
- uv package manager (recommended)
Steps
-
Clone this repository:
git clone https://github.com/yourusername/snowflake-mcp-server.git cd snowflake-mcp-server -
Install the package:
uv pip install -e . -
Create a
.envfile with your Snowflake credentials:Choose one of the provided example files based on your preferred authentication method:
For private key authentication:
cp .env.private_key.example .envThen edit the
.envfile to set your Snowflake account details and path to your private key.For external browser authentication:
cp .env.browser.example .envThen edit the
.envfile to set your Snowflake account details.
Usage
Running with uv
After installing the package, you can run the server directly with:
uv run snowflake-mcp
# Or you can be explicit about using stdio transport
uv run snowflake-mcp-stdio
This will start the stdio-based MCP server, which can be connected to Claude Desktop or any MCP client that supports stdio communication.
When using external browser authentication, a browser window will automatically open prompting you to log in to your Snowflake account.
Claude Desktop Integration
-
In Claude Desktop, go to Settings → MCP Servers
-
Add a new server with the full path to your uv executable:
"snowflake-mcp-server": { "command": "uv", "args": [ "--directory", "/<path-to-code>/snowflake-mcp-server", "run", "snowflake-mcp" ] }Or explicitly specify the stdio transport:
"snowflake-mcp-server": { "command": "uv", "args": [ "--directory", "/<path-to-code>/snowflake-mcp-server", "run", "snowflake-mcp-stdio" ] } -
You can find your uv path by running
which uvin your terminal -
Save the server configuration
Example Queries
When using with Claude, you can ask questions like:
- "Can you list all the databases in my Snowflake account?"
- "List all views in the MARKETING database"
- "Describe the structure of the CUSTOMER_ANALYTICS view in the SALES database"
- "Show me sample data from the REVENUE_BY_REGION view in the FINANCE database"
- "Run this SQL query: SELECT customer_id, SUM(order_total) as total_spend FROM SALES.ORDERS GROUP BY customer_id ORDER BY total_spend DESC LIMIT 10"
- "Query the MARKETING database to find the top 5 performing campaigns by conversion rate"
- "Compare data from views in different databases by querying SALES.CUSTOMER_METRICS and MARKETING.CAMPAIGN_RESULTS"
Configuration
Connection pooling behavior can be configured through environment variables:
SNOWFLAKE_CONN_REFRESH_HOURS: Time interval in hours between connection refreshes (default: 8)
Example .env configuration:
# Set connection to refresh every 4 hours
SNOWFLAKE_CONN_REFRESH_HOURS=4
Authentication Methods
Private Key Authentication
This method uses a service account and private key for non-interactive authentication, ideal for automated processes.
- Create a key pair for your Snowflake user following Snowflake documentation
- Set
SNOWFLAKE_AUTH_TYPE=private_keyin your.envfile - Provide the path to your private key in
SNOWFLAKE_PRIVATE_KEY_PATH
External Browser Authentication
This method opens a browser window for interactive authentication.
- Set
SNOWFLAKE_AUTH_TYPE=external_browserin your.envfile - When you start the server, a browser window will open asking you to log in
- After authentication, the session will remain active for the duration specified by your Snowflake account settings
Security Considerations
This server:
- Enforces read-only operations (only SELECT, SHOW, DESCRIBE, EXPLAIN, and WITH statements are allowed)
- Automatically adds LIMIT clauses to prevent large result sets
- Uses secure authentication methods for connections to Snowflake
- Validates inputs to prevent SQL injection
⚠️ Important: Keep your .env file secure and never commit it to version control. The .gitignore file is configured to exclude it.
Development
Static Type Checking
mypy mcp_server_snowflake/
Linting
ruff check .
Formatting
ruff format .
Running Tests
pytest
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Technical Details
This project uses:
- Snowflake Connector Python for connecting to Snowflake
- MCP (Model Context Protocol) for interacting with Claude
- Pydantic for data validation
- python-dotenv for environment variable management
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