elvatis-mcp: Instructions file for Claude Code

CLAUDE.md - elvatis-mcp

MCP server exposing OpenClaw tools (Home Assistant, memory, cron, sub-agent orchestration) to Claude Desktop, Cursor, Windsurf, and any MCP client.

Quick Commands

• /build - typecheck + compile
• /status - show project status
• /ship - pre-publish checklist

Stack

• TypeScript 5.x strict, Node.js 18+, CommonJS output
• @modelcontextprotocol/sdk 1.x (stay on 1.x, v2 is pre-alpha)
• Zod 3.x for all tool schemas
• dotenv 16.x for configuration

TS2589 Fix (resolved 2026-03-31)

MCP SDK server.tool() has 6 overloads that caused 47M+ type instantiations and OOM.

Solution: registerTool() wrapper in index.ts casts server to any before calling .tool(), bypassing overload resolution entirely. Schemas are z.object() in tool files, .shape is passed to the SDK. Build: 0.85s, 148 MB, 30k instantiations.

Rule: Never call server.tool() directly. Always use registerTool().

Key Rules

• No em dashes anywhere - use commas, colons, or parentheses
• Tool names: domain_action format
• Tool descriptions must be precise - Claude uses them for tool selection
• All secrets via env vars only - never hardcode tokens or IPs
• Logs to stderr only in stdio mode (stdout = MCP protocol stream)
• Build: npm run build (avoid building on machines with limited RAM - tsc is memory-intensive)

Project Layout

src/
  index.ts            <- MCP server entry, tool registration (registerTool wrapper), transport setup
  config.ts           <- env var config (loads from .env, all values required or optional)
  ssh.ts              <- SSH exec helper for remote commands (child_process.spawn, no extra deps)
  spawn.ts            <- Local process spawner for gemini, codex, and claude CLI subprocesses
  tools/
    home.ts           <- Home Assistant: light, climate, scene, vacuum, sensors, get_state
    home-automation.ts <- home_automation: natural language HA commands via OpenClaw
    memory.ts         <- Daily memory log: write, read_today, search (SSH to server)
    cron.ts           <- OpenClaw cron: list, run, status (SSH to server)
    cron-manage.ts    <- OpenClaw cron management: create, edit, delete, history
    openclaw.ts       <- Sub-agent orchestration via SSH: run, status, plugins
    openclaw-logs.ts  <- openclaw_logs: tail OpenClaw server logs via SSH
    notify.ts         <- openclaw_notify: send notifications via WhatsApp/Telegram
    gemini.ts         <- Google Gemini sub-agent via local gemini CLI (headless mode)
    codex.ts          <- OpenAI Codex sub-agent via local codex CLI (full-auto + JSONL)
    claude.ts         <- Claude sub-agent via local claude CLI (JSON output, homedir cwd, Opus-only session resume)
    local-llm.ts      <- Local LLM sub-agent via OpenAI-compatible API (Ollama, LM Studio)
    local-llm-models.ts <- local_llm_models: list available models from local LLM server
    llama-server.ts   <- llama_server: start/stop llama.cpp server for local inference
    splitter.ts       <- prompt_split: analyze complex prompts, split into sub-tasks with agent routing
    routing-rules.ts  <- Shared routing rules, keyword matching, agent constants (used by help + splitter)
    split-execute.ts  <- prompt_split_execute: execute a SplitPlan with agent dispatch and rate limiting
    help.ts           <- mcp_help routing guide and task-to-tool recommender
    system-status.ts  <- system_status: check host system health (CPU, RAM, disk, GPU)
    file-transfer.ts  <- file_transfer: upload/download files to/from OpenClaw server via SCP
  rate-limiter.ts     <- Rate limiting + cost tracking for cloud sub-agents (persistent JSON storage)