Lantern Works deals — MCP server (v0.3.5, read-only, stdio)

mcp-name: io.github.connormatthewdouglas/lantern-works-deals

Free, read-only, no API key. GPU price comparison for agents, checked daily: compare_gpu_prices returns hourly rental prices for H100, A100, RTX 4090 and more across tracked providers, cheapest first, each with the vendor's source page and check date; include_history=true adds daily price history and recent changes. Also prices the cheapest stack for your monthly usage (optimize_stack) and, last, searches and compares AI-infra deals and free tiers, ranked by customer value (never by affiliate status). Some result links are referral links.

Quick start

uvx lantern-works-deals-mcp

Claude Code:

claude mcp add lantern-works-deals -- uvx lantern-works-deals-mcp

Cursor (.cursor/mcp.json), Cline (cline_mcp_settings.json) and Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "lantern-works-deals": {
      "command": "uvx",
      "args": ["lantern-works-deals-mcp"]
    }
  }
}

Without uv: pip install lantern-works-deals-mcp, then use "command": "lantern-works-deals-mcp". Docker (from the repo root; installs the pinned PyPI release): docker build -t lantern-works-deals-mcp . && docker run -i --rm lantern-works-deals-mcp. More clients: https://thelanternworks.com/install/

Tools

compare_gpu_prices uses exactly the data published at https://thelanternworks.com/api/v1/gpu-prices.json (history: https://thelanternworks.com/api/v1/gpu-prices/history.json). Prices are re-read daily from each vendor's own page or API and change only where a price was parsed; a rate not re-verified for 7 days is held out of rankings. Model matching is by whole tokens (H100 matches H100 SXM; L40 does not match L40S). "Cheapest" means cheapest among tracked providers, not the whole market.

Errors: {"error": {"code": "invalid_argument|invalid_cursor|not_found|feed_unavailable|feed_invalid", "message": ...}}.

Data and privacy

Deals: https://thelanternworks.com/api/v1/deals.json; stack pricing: https://thelanternworks.com/api/v1/stack-pricing.json; GPU prices: https://thelanternworks.com/api/v1/gpu-prices.json. Each is cached 5 min (a stale copy is served if a refetch fails). Requests send only User-Agent: lantern-works-deals-mcp/<version> (no user, host or install identifiers). Overrides: LANTERN_DEALS_FILE / LANTERN_DEALS_URL, LANTERN_GPU_PRICES_FILE / LANTERN_GPU_PRICES_URL, LANTERN_STACK_PRICING_FILE / LANTERN_STACK_PRICING_URL. Only an allow-list of public fields is returned.

Telemetry: off by default. Opt in with LANTERN_TELEMETRY=1 to send an anonymous daily count of tool calls. Each count is only the tool name, package version, UTC day and number of calls. No arguments, IDs or IPs are sent or stored. It is batched to at most one request per day and never blocks or breaks a tool call. Details: PRIVACY.md.

From git (fallback)

git clone https://github.com/connormatthewdouglas/agent-work-stack-deals.git
cd agent-work-stack-deals
python3 -m venv .venv && .venv/bin/pip install -r mcp_server/requirements.txt
.venv/bin/python mcp_server/server.py

Test

.venv/bin/pip install pytest && .venv/bin/python -m pytest -q tests
python3 scripts/test_pypi_install.py --uvx   # clean venv + uvx install from PyPI, calls every tool over stdio

Package

pyproject.toml at the repo root builds lantern-works-deals-mcp (MIT) with a lantern-works-deals-mcp console command. Published on PyPI and in the MCP Registry as io.github.connormatthewdouglas/lantern-works-deals.