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MCP Data Methodology

This governed methodology covers the internal workflow we use to acquire, verify, version & refresh domain datasets for Model Context Protocol servers. Access is limited to authenticated users due to proprietary process detail and operational guardrails.

▹Requesting Access

If you don't yet have credentials but need to evaluate or integrate this workflow, please contact me to request access. Provide intended usage (internal ops, client dataset build, MCP extension) so we can scope the right slice.

▹Inside You'll See

  1. Core Principles – guardrails preventing drift & hallucination
  2. Acquisition & Integration Sequence – 12‑step phased workflow
  3. Meta‑Prompt Skeleton – reusable extraction scaffold
  4. Condensed Example – raw note → versioned JSON (+ changelog)
  5. Prompt Layer & Research Triggering – framing → refinement → tool orchestration
  6. Ongoing Freshness & Change Detection – layered probes & signals
  7. Changelog & Event Flags – version semantics & impact markers