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Concept

Build an MCP (Model Context Protocol) subsystem within projio's ecosystem that enables agentic workflows to: 1. Fetch idea notes from notio's log index as seeds for prompt engineering 2. Integrate with Claude/Codecs for agent-driven task execution 3. Serialize ideas into structured prompts for reasoning, planning, and code generation

Problem

Currently, idea capture and retrieval are manual. Agents need programmatic access to historical ideas to: - Bootstrap multi-turn reasoning chains - Reference prior design decisions - Seed prompt templates with domain context

Solution

Create specialized MCPs (notes-fetch, notes-create) that: - Query notio's YAML frontmatter + markdown for ideas by tag/date/owner - Return structured data (title, content, metadata) for agent consumption - Allow agents to create follow-up notes (decisions, refinements, implementations)

Implementation Path

  • Extend notio with simple SQLite index (optional, or query filesystem directly)
  • Implement MCP server in Python that wraps core.py utilities
  • Document integration patterns for Claude agents via projio's MCP registry
  • Test with sample agentic workflow: idea → analysis → architecture → code scaffold

Overview

Tasks

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Notes