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Lantern Works deals — MCP server (v0.3.3, read-only, stdio)

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

Free, read-only, no API key. Search and compare AI-infra deals and free tiers, compare tracked GPU rental prices, and price the cheapest stack for your monthly usage, ranked by customer value (never by affiliate status).

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

Tool Args Returns
search_deals query, category, offer_type, max_price, tags[], limit (1-25, default 10), cursor {total, count, results[], next_cursor} (summary fields only)
compare_deals ids (2-5) {order, deals[], note} best value first
get_deal id the deal's public record
compare_gpu_prices gpu (e.g. H100, A100 SXM, RTX 4090), limit (1-25, default 10) {summary, scope, total, results[], data_source, feed_updated_at, ...} sorted by hourly_usd; each result has source_url and checked_at
optimize_stack scrape_pages, scrape_pages_js, proxy_gb, emails_sent, search_queries, gpu_hours, gpu_model, exclude_manual_signup per-line chosen plan, monthly_cost_usd, calc, vendor quote, source_url, checked_at, assumptions, alternatives; unpublished prices are unknown

compare_gpu_prices uses exactly the data published at https://thelanternworks.com/api/v1/gpu-prices.json. 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.

Metadata

Release files for lantern-works-deals-mcp 0.3.3

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Source distribution for lantern-works-deals-mcp 0.3.3
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Table of built distributions (wheels) for lantern-works-deals-mcp 0.3.3
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lantern_works_deals_mcp-0.3.3-py3-none-any.whl Python 3 none any Details for lantern_works_deals_mcp-0.3.3-py3-none-any.whl

Total release size: 64.1 kB

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