AI_CONTEXT core MCP tools built

ID	M0-AICONTEXT-003
Status	completed
Priority	p0
Milestone	m0-prototype
Owner	data-ai-engineer-architect
Initiative	mcp-catalog-agent-tools

Problem

AI agents had no standardized way to access catalog metadata, execute queries, or render dashboards through the MCP protocol. Without dedicated MCP tools, agents relied on ad-hoc integrations that were fragile, inconsistent, and required per-agent custom wiring. This blocked any systematic use of AI_CONTEXT data by external AI tools and made it impossible to offer a composable, discoverable interface for agent-driven analytics workflows.

Context

Core MCP tools are operational and documented as part of prototype baseline.
Tools support both context retrieval and live data interaction workflows.
Known missing tool (search_dashboards) is tracked separately as M1 work.

Possible Solutions

Plan

Maintain regression tests for core MCP tools.
Capture tool quality signals from pilot usage telemetry.
Keep gap list explicit for follow-on milestones.

Implementation Progress

Prototype baseline recorded as completed and linked to follow-on milestone work.
Remaining scope is tracked in explicit M1+ tasks rather than implicit debt.
AI Context Architecture current-status table

Review Feedback

[ ] Review cleared