cm-mcp-engineering — MCP tools on context server

SkillCloud & infra

Use when you need to interact with the MCP engineering bridge tools (cm_plan, cm_review, cm_qa, cm_deploy, cm_search).

Available today. Use it from your connected AI after setup.

No other account needed.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the cm-mcp-engineering — MCP tools on context server skill

What this skill tells your AI

The instructions your AI receives, as published by tody-agent/codymaster in skills/cm-mcp-engineering/SKILL.md and read by ahel’s review.

The same binary as memory MCP (dist/mcp-context-server.js) now exposes engineering bridge tools:

Tool	Purpose
`cm_plan`	Sprint state + artifact paths + next skill hint
`cm_review`	Preview `.cm/sprint/artifacts/review.md`
`cm_qa`	QA pointers — host browser mode first (see `_shared/browser-strategy.md`); `cm browse` daemon only as CLI fallback
`cm_deploy`	Hints for safe deploy + canary
`cm_search`	Learnings + decisions search
`cm_memory_query`	Same backing store, alias-style

Existing tools unchanged: cm_query, cm_resolve, cm_bus_read, cm_bus_write, cm_budget_check, cm_memory_decay, cm_index_refresh.

Point --project at the repo root (or CM_PROJECT_PATH).

Advanced