This repository contains a Streamlit application that connects Snowflake Cortex to dbt's remote MCP (Model Context Protocol) server, enabling a powerful "chat-with-your-data" experience for analytics. Users can query their dbt Semantic Layer using natural language and receive intelligent, context-aware responses about their data.

Cortex - AI context management MCP server. Preserves project knowledge across sessions with structured documentation, DRY linking, token optimization, self-evolution with pattern analysis, and learning from feedback. Features 25 MCP tools, lazy loading, and 9.6/10 code quality. Built on Cline's Memory Bank pattern.

Vision AI "Cortex" for Agents. A Playwright-based MCP Server & API that captures screenshots with ground-truth DOM extraction and full auth state injection. Containerized.

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Cortex Memory MCP Server - Knowledge management with autonomous decision support

Standalone MCP server and MCP running on Cortex XSIAM, with optional Streamlit agent and Docker/compose tooling.

Cortex AI memory store with dual MCP servers

Production-grade Snowflake AI Agent using MCP Server with Cortex AI — Cortex Search, Cortex Analyst, Python UDFs, auth & monitoring

APAC Travel Planner powered by Snowflake Cortex Agent + MCP Server + AWS Bedrock AgentCore with Strands Agents

Multi-agent setup connecting Snowflake Cortex Agent (via MCP Server) with Microsoft AI Foundry and Fabric Data Agents. Foundry orchestrator routes queries to Snowflake (Cortex Analyst + Cortex Search) or Fabric (Lakehouse NL2SQL) via MCP. Includes scripts, semantic view, agent config, and end-to-end guide

Chatbot that implement cortex to communicate with MCP server, and it enable to use tools depending on the Policies configured at server for this agent

An example chatbot application with a react frontend that communicates to a backend python API which uses a FastAgent MCP Client/Host to spin up Cortex MCP Servers.