Add Braiins Pool MCP server

[Copilot]

Implements a TypeScript MCP server for the Braiins Pool mining API, exposing 12 tools for worker monitoring, earnings tracking, pool stats, and account configuration — deployable via npm, Docker, or Docker Compose.

Structure

• src/api/ — Typed HTTP client (axios) wrapping the Braiins REST API with in-memory/Redis response caching, token-bucket rate limiting, and duck-typed error translation for 401/404/429 responses
• src/server/ — MCP stdio server (@modelcontextprotocol/sdk) with auth.ts for env-based API key validation and tools.ts registering all 12 tools via Zod-validated schemas
• src/utils/ — Winston structured logger (pretty/JSON formats), CacheService (falls back to in-memory when Redis is unavailable), RateLimiter (10 rps default)
• Docker — Multi-stage Dockerfile; docker-compose.yml (basic) and docker-compose.redis.yml (adds Redis + Redis Commander on :8081)

Tools

Group	Tools
Workers	list_workers, get_worker_details, get_worker_hashrate, restart_worker
Earnings	get_earnings_summary, get_payout_history, estimate_next_payout
Pool stats	get_pool_stats, get_block_history, get_network_difficulty
Config	update_payout_threshold, set_notification_preferences

Client config (Claude Desktop)

{
  "mcpServers": {
    "braiins-pool": {
      "command": "node",
      "args": ["/path/to/mcp/braiins-pool/dist/index.js"],
      "env": { "BRAIINS_API_KEY": "your_api_key" }
    }
  }
}

The BraiinsApiClient accepts an optional injected AxiosInstance to keep the test layer free of real HTTP calls; axios-mock-adapter is applied to the injected instance directly rather than the module default.

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