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type: task id: M0-AICONTEXT-003 title: AI_CONTEXT core MCP tools built description: Completed core MCP tool set (catalog, execute_query, render_dashboard, list_sources) for AI context consumption and action. milestone: m0-prototype owner: data-ai-engineer-architect status: completed priority: p0 initiative: mcp-catalog-agent-tools

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AI_CONTEXT core MCP tools built

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

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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

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• [ ] Review cleared