Snowflake Cortex
Integrates Snowflake Cortex Agents with Model Context Protocol clients for enhanced AI development.
About
This experimental project provides a Model Context Protocol (MCP) server designed to bridge Snowflake Cortex APIs with various development environments, such as Visual Studio Code. It enables developers to seamlessly access and leverage Snowflake Cortex insights and agent capabilities directly within their preferred IDEs, facilitating the development and evaluation of agentic AI applications. The server supports deployment via Docker or local execution, streamlining access to Snowflake's AI features.
Key Features
- Configurable access to Snowflake account, warehouse, and security settings
- 0 GitHub stars
- Supports various Cortex Agent LLM models (e.g., snowflake-arctic, claude-3-7-sonnet)
- Containerized deployment via Docker for ease of setup
- MCP Server for Snowflake Cortex APIs
- Seamless integration with VSCode and other MCP-compatible clients
Use Cases
- Accessing Snowflake Cortex insights directly within a development environment like VSCode
- Experimenting with and evaluating different LLM models for Cortex Agents
- Programmatically interacting with Snowflake Cortex Search Services and semantic models
- Integrating Snowflake Cortex agents into custom AI development workflows
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