Honeydew Semantic Layer
Honeydew semantic layer provides a governed, business-friendly data model that unifies metrics, dimensions, and relationships across sources, enabling consistent self-service analytics and AI-powered data access
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Overview
Model Context Protocol (MCP) is an open-source standard for securely connecting AI applications to external systems and tools. Honeydew provides an MCP server that connects your AI coding assistant to the Honeydew Semantic Layer. Discover and explore your warehouse tables, schemas, and semantic model definitions Build and maintain your semantic model through natural conversation Query your data with natural language from any MCP-compatible assistant Search and read the Honeydew documentation Honeydew exposes the MCP Server API at https://mcp.honeydew.cloud/mcp
Installation
https://mcp.honeydew.cloud/mcp
Configuration
{
"mcpServers": {
"honeydew": {
"type": "http",
"url": "https://mcp.honeydew.cloud/mcp"
}
}Capabilities
- Discover warehouse assets
Ask your assistant to explore tables, schemas, and semantic model definitions across your warehouse using `list_workspaces` and related discovery tools.
- Manage semantic models conversationally
Build and maintain your semantic model through natural language, including creating branches with `create_workspace_branch` and switching contexts via `set_session_workspace_and_branch`.
- Query data with natural language
Have your assistant translate plain-English questions into semantic layer queries and return results from any MCP-compatible client.
- Access Honeydew documentation
Search and read official Honeydew docs directly through the MCP server without leaving your coding environment.
Tags
- data-analysis
- analytics
- business-operations
- sql
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