A comprehensive guide to deploying custom MCP (Model Context Protocol) servers on Snowflake using Snowpark Container Services (SPCS) and integrating them with Snowflake Intelligence. The tutorial walks through building a Python-based MCP server with NetworkX for graph analytics, containerizing it with Docker, deploying to SPCS,

13m read timeFrom medium.com
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Extend Snowflake Intelligence with Specialized AlgorithmsTable of ContentsWhy Custom MCP Servers?Architecture OverviewExample Use CaseStep 1: Build Your MCP Server LocallyStep 2: Test Your MCP Server LocallyGet Tianxia Jia’s stories in your inboxStep 3: Containerize with DockerStep 4: Deploy to Snowflake SPCSStep 5: Create Service FunctionsStep 6: Configure Cortex Agent Custom ToolsStep 7: Test End-to-EndConclusionResources

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