mq-mcp v1.10.0 — Learning Contract Layer

What's new

Learning Contract Layer — complete

All planned v1.10.0 MCP tools are now implemented:

Class A (read-only):

• learning_status — learn layer stats by source, risk, and repo
• list_learnings, get_learning, search_learnings, summarize_learnings, promote_learning — existing read tools

Class C (controlled write):

• learn_from_review — creates a learning record from the last review findings for a file
• learn_from_diff — creates a learning record with current git diff as context
• bootstrap_learning_memory — seeds the learn layer from architecture memory ADRs; idempotent
• record_learning — existing write tool

Contracts and docs: docs/LEARNING_CONTRACT.md, docs/LEARNING_MODEL.md, schemas/learning.schema.json

Governance Roadmap (Phases 1–9) — complete

All nine governance phases shipped:

Phase	Delivered
1	Version signal sync, GitHub releases v1.6–v1.9
2	check-runtime-truth.sh — 9 automated drift checks
3	tool_registry.py — mq-mcp tools --json/--safety/--markdown/--export
4	Safety class enforcement — Class A/B/C/D contract tests
5	Five system review contracts (runtime-truth, safety-contract, release-readiness, memory-hygiene, orchestration-boundary)
6	Semantic memory policy, schema, audit command
7	docs/orchestration-boundary.md — ecosystem role division
8	Release gate v2 — 12-section release-check.sh with CI check
9	Five deterministic generated artifacts (tool-index, tool-safety, runtime-contract, release-state, profile-index)

Stats

• Tool count: 91 → 95
• Test suite: 135 tests, all passing
• ./scripts/validate.sh: green
• ./scripts/release-check.sh --dry-run: green