Prototype implementation path

ID	M0_PROTOTYPE-MCP_ANALYST_AGENT-01
Status	completed
Priority	p1
Milestone	m0-prototype
Owner	data-ai-engineer-architect

Problem

Before any MCP tool can be validated with real agent workflows, there must be a working end-to-end path: an AI agent sends a tool call via MCP, Dataface compiles YAML, executes queries, and returns a result. Without this prototype, the entire MCP-analyst-agent workstream is theoretical — there is no way to test prompt design, evaluate tool schemas, or identify integration gaps. The prototype must exercise the full compile-execute-render pipeline through the MCP server so that subsequent validation and gap analysis have concrete artifacts to work from.

Prototype implementation path

Problem

Context

Possible Solutions

Plan

Implementation Progress

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