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Setting Up MCP Server for Snowflake

This article describes a third step of Connecting to Snowflake MCP Server. Set up and run the MCP Server locally on the same machine where the application is running or remotely on a separate server or cloud platform.

Prerequisites:

Set Up the MCP Server

After choosing the platform:

1. Clone this repository:

git clone git@github.com:metricinsights/snowflake-cortex-mcp-server.git

2. Copy [config.example.py](https://github.com/metricinsights/snowflake-cortex-mcp-server/blob/main/config.example.py) to config.py folder and fill in the Snowflake account values.

Those values were gathered in Snowflake account.

3. Run the service via docker:

docker-compose up -d

Config Example

In this example three Agents are created: "CUSTOMER_SUPPORT", "INVENTORY", and "RETAIL_SALES". In your case those can be different in number and names.

_defaults = Config(
     account="TTXXXXX.us-east-2.aws",
     database="SNOWFLAKE_INTELLIGENCE",
     schema="AGENTS",
     token="<TOKEN>",
 )
 agent_configs = {
     "CUSTOMER_SUPPORT": Config(agent="CUSTOMER_SUPPORT", defaults=_defaults),
     "INVENTORY": Config(agent="INVENTORY", defaults=_defaults),
     "RETAIL_SALES": Config(agent="RETAIL_SALES", defaults=_defaults), }

NOTE: In the config example the Token is hardcoded into the server configuration. To prevent security risks, it is recommended to protect the server with a firewall.