- Snowflake Cortex MCP Server - NodeJS
Snowflake Cortex MCP Server - NodeJS
What is Snowflake Cortex MCP Server?
The Snowflake Cortex MCP Server is a NodeJS-based server that provides tooling for Snowflake Cortex AI features, enabling users to leverage these capabilities within the MCP ecosystem.
How to use Snowflake Cortex MCP Server?
To use the MCP server, connect it to an MCP Client (like Claude for Desktop or fast-agent) and run the server using the command: yarn dev. Ensure to configure the connection to Snowflake using environment variables for authentication.
Key features of Snowflake Cortex MCP Server?
- Cortex Search: Query unstructured data in Snowflake for Retrieval Augmented Generation (RAG) applications.
- Cortex Analyst: Query structured data in Snowflake using rich semantic modeling.
- Cortex Agent: Acts as an orchestrator for structured and unstructured data retrieval.
Use cases of Snowflake Cortex MCP Server?
- Integrating with various MCP Clients for enhanced data querying.
- Utilizing AI capabilities for data analysis and retrieval.
- Building dynamic agent requests for complex queries.
FAQ from Snowflake Cortex MCP Server?
- How do I connect to Snowflake?
Use a Programmatic Access Token (PAT) set as an environment variable (SNOWFLAKE_PAT).
- How do I try this?
The MCP server is part of the MCP ecosystem and requires an MCP Client to function.
- Where is this deployed?
The server is intended to be started by the MCP client, with no separate remote service deployment necessary.
Server Config
{
"mcpServers": {
"Cortex Agent AI": {
"command": "ABSOLUTE_PATH\\nodejs\\npx.cmd",
"args": [
"tsx",
"--watch",
"--env-file",
"ABSOLUTE_PATH\\snowflake-cortex-mcp\\.env",
"ABSOLUTE_PATH\\snowflake-cortex-mcp\\src\\mcp\\MCP.ts"
]
}
}
}