Lantern Works agent deals
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AlicenseNot gradedqualityDmaintenanceLets AI assistants search and browse a continuously verified feed of live retail and travel deals, filtering by category, store, discount, or hot status, and fetch individual deal details with current live/expired state. Results render as interactive cards in MCP Apps clients or structured text elsewhere, always linking to the deal page where the price is re-verified.MIT- AlicenseAqualityFmaintenanceUniversal search engine for AI agents. Discover products, services, and businesses across every category. 10 MCP tools, zero LLM calls, millisecond responses.114AGPL 3.0
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echolocofficial
AlicenseAqualityCmaintenanceCompany technographics: search 760,000+ companies by the technologies they use — with direction of change (adopting / replacing / evaluating) — enrich any domain with firmographics and hiring signals, and browse a 10,000+ technology catalog. Remote server at https://api.echoloc.ai/mcp (Streamable HTTP); free API key: 100 requests/month, no card. Docs: https://echoloc.ai/for-agents3MIT
TDQS
Scored across 7 tools
Most tools have distinct resource+action targets: search_deals finds deals, compare_deals compares specific ones, get_deal fetches a single record, and compare_gpu_prices vs get_price_changes separate snapshot pricing from movement history. The one real overlap is optimize_stack vs optimize_agent_stack, since the latter accepts all of the former's explicit fields as overrides, making the plain optimizer largely a subset.
Every tool follows a clean snake_case verb_noun pattern (compare_*, get_*, search_*, optimize_*), with verbs that accurately signal the operation. No mixed casing or inconsistent verb styles anywhere in the set.
Seven tools is well-scoped for a price/deal data service, with each covering a distinct facet: GPU price comparison, price movement, deal search, deal comparison, deal lookup, and two stack cost estimators. Nothing feels padded or missing at the count level.
The surface covers the core workflows: find/compare/get deals, compare GPU prices, track changes, and estimate stack costs with history via parameters. Minor gaps remain — no way to list tracked models or providers directly (only via not_found or a substring filter), and no per-provider price table across models, but agents can work around these.