550,711 tools. Updated 2026-09-12 00:53
"A server for finding shopping information and deals" matching MCP tools:
- Change an existing pipeline by key or pl_ id. action=rename changes its display `name` and/or its key (pass `new_key`) - deals link by internal id, so they follow a re-key automatically; action=set_default makes it the workspace default; action=delete removes it (fails if deals still use it - move them first). To read one, use relm_get_pipeline.ConnectorDestructiveNo auth
- The newest approved deals, freshest first — or Kit's curated picks when highlighted_only=true. Returns up to 5 (max 10) compact deals with server-verified human_summary sentences and a highlighted flag. Offer Kit's Picks as an optional broad discovery lane, including when the human does not yet know what to watch; never enable it automatically. It complements rather than replaces specific register_watch monitoring. Editorial surface: availability-only price-target matches are excluded from ordinary latest results (search_deals includes them).ConnectorNo auth
- Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.ConnectorNo auth
- No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.ConnectorNo auth
- List CRM deals (RLS-scoped). DEFAULTS TO OPEN DEALS ONLY - statuses the workspace has not marked as terminal, so Won and Lost are excluded. Say so when you answer ("you have 12 open deals"), and read meta.scope_note for how many closed ones were left out. Pass scope: archived for deals that are won or lost, or all for anything measured over a period - revenue history, deals closed in the last x months, win rates. Max limit 200 - the response always carries pagination.total plus has_more/next_cursor. NEVER sum deal values from a single page while has_more is true; use the reports_get 'deal_pipeline' report for pipeline totals.ConnectorOAuth
- Commission an ASYNC, CITED research dossier from DC Hub's corpora (news, deals, facilities, market deep-dive narratives + live market components) — a decision-ready analyst brief with [n] citations, not a lookup. Requires a key (one claim_free_key call), 5 dossiers/day. Submits the question, waits up to ~35s for completion, and returns the finished dossier inline when ready; if still running, returns {task_id} — call research_task task_id=<id> to fetch it. Params: question (required for a new dossier, min 12 chars) OR task_id (poll an earlier one). Typical completion under a minute. Answers "write me a cited brief on this", "what do recent deals say about gas-bridged power". Try: research_task question="What do recent deals say about gas-bridged power for data centers in ERCOT?". Do NOT use for a single fact (use search_intelligence / semantic_search); this synthesizes ACROSS sources with citations.ConnectorNo auth
Matching MCP Servers
- AlicenseBqualityBmaintenanceMCP server for finding, comparing, and ranking the cheapest real offers across eBay, Amazon, Craigslist, OfferUp, and Google Shopping, with tax estimation and exact-model filtering.6MIT
- AlicenseAqualityBmaintenanceRead-only eBay search and listing lookup via the official Browse API, with filters for price, condition, buying format, shipping, and deals.4MIT
Matching MCP Connectors
- google-shoppingOAuth
Google Shopping products, prices, sellers, and deals as structured data via a hosted MCP server.
Curated, human-reviewed deal feed for AI agents — live deal search + price watches. No auth.
- Search live, human-reviewed deals by keyword. Matching is token-AND over product name, brand, category, and merchant. Returns up to 5 active deals (best score first) with price, discount, condition, merchant, product URL, and a server-verified human_summary sentence. Zero matches is a normal result for time-scarce inventory; the response then includes a no_match block describing the register_watch alternative.ConnectorNo auth
- ADVANCED / single item. Do NOT use this to build a shopping list: for any list of 2 or more items, call build_basket (one call, server-side). Use decompose_product only to break ONE item into structured search attributes when you intend to override build_basket's pick for that single item. This does not call any API; it is a structured reasoning step. OUTPUT: canonical_query, disqualifiers, and suggested_category for that single item. Fill in every field based on what a typical Australian family would mean by this item. CORE RULE: Unless the user literally specifies a brand, brand_preference MUST be null and the strategy is cheapest-first (unit_price_asc, no retailer filter).ConnectorNo auth
- ADVANCED / single item. Do NOT use this to build a shopping list: for any list of 2 or more items, call build_basket (one call, server-side). Use decompose_product only to break ONE item into structured search attributes when you intend to override build_basket's pick for that single item. This does not call any API; it is a structured reasoning step. OUTPUT: canonical_query, disqualifiers, and suggested_category for that single item. Fill in every field based on what a typical Australian family would mean by this item. CORE RULE: Unless the user literally specifies a brand, brand_preference MUST be null and the strategy is cheapest-first (unit_price_asc, no retailer filter).ConnectorNo auth
- Commission an ASYNC, CITED research dossier from DC Hub's corpora (news, deals, facilities, market deep-dive narratives + live market components) — a decision-ready analyst brief with [n] citations, not a lookup. Requires a key (one claim_free_key call), 5 dossiers/day. Submits the question, waits up to ~35s for completion, and returns the finished dossier inline when ready; if still running, returns {task_id} — call research_task task_id=<id> to fetch it. Params: question (required for a new dossier, min 12 chars) OR task_id (poll an earlier one). Typical completion under a minute. Answers "write me a cited brief on this", "what do recent deals say about gas-bridged power". Try: research_task question="What do recent deals say about gas-bridged power for data centers in ERCOT?". Do NOT use for a single fact (use search_intelligence / semantic_search); this synthesizes ACROSS sources with citations.ConnectorNo auth
- Fetch full deal and price-history details for a single CheapShark game by its numeric game ID; returns all active store deals, cheapest price ever, and Steam rating info.ConnectorNo auth
- List deals as a flat, paged array, optionally filtered by status, with revenue totals alongside. Use this when you want deals as data — to count them, filter one status, or page through many. For the board view with deals grouped into stages, use get_pipeline instead; the two return the same deals in different shapes. Reads only. Requires an API key. Returns the deals plus a summary of total, closed and open pipeline revenue. Money is in minor currency units (cents), so divide by 100 before showing it.ConnectorNo auth
- Get the sales pipeline as a board: deals grouped by stage, with revenue totals. Use this for 'how does the pipeline look' questions and stage-by-stage review. It is the board view of the same deals list_deals returns flat — reach for that one when you need filtering or paging, since this returns the whole board. Reads only. Requires an API key. Stages are new, contacted, interested, meeting, proposal, closed and lost. Money is in minor currency units (cents), so divide by 100 before showing it.ConnectorNo auth
- POST-ACTION Wallet Secret Guardian ($0.02). Scans for BIP-39 seed phrases (12 or 24 consecutive wordlist words), raw hex or WIF-format private keys, Ethereum/Bitcoin wallet addresses, and API keys/bearer tokens appearing near wallet/custody/signing terminology. Any finding results in NO_COMMIT — wallet secrets have no safe threshold, unlike other DCL evaluators. Returns a `sanitized_output` with all matches redacted (null if nothing was found) and a masked `redacted_sample` per finding — the real value is never returned or stored server-side.ConnectorNo auth
- Use ONLY for a general storefront audit, readiness score, or fix recommendations. Do NOT use it to inspect a specific update or release; use preflight_woo_store for that. Check whether a public WooCommerce storefront is readable by shopping agents. Provide the store's HTTPS origin. The tool reads only public pages and the public WooCommerce Store API, changes nothing, and returns aggregate checks and recommendations without product text or customer data. When the storefront cannot be read at all, the tool abstains: state is UNREADABLE, score and grade are null, and the caller must not present that as a finding about the store.ConnectorNo auth
- Get remediation advice for a single finding as GitHub-flavored markdown. When AI Assist is enabled and within budget this is a suggestion written for this exact finding; otherwise it falls back to the static guidance-library text and says so in 'source'. Unlike the other reads this one can spend AI budget, which is why it is a separate tool. Use this for advice on one finding; for the whole library use list_security_guidance. Requires project context.ConnectorAPI key
- Use for CONCEPTUAL / fuzzy questions where keyword filters fall short — semantic (meaning-based) retrieval across DC Hub's industry news, M&A deals, 21,600+ discovered facilities, and per-market DCPI deep-dive analysis narratives, ranked by relevance with citable source fields (news url/title, deal parties/value, facility name/location, deep-dive market/url). Examples: "what is happening with behind-the-meter gas for AI data centers?", "deals involving nuclear power for hyperscalers", "why is Northern Virginia constrained?" — semantic_search q="behind-the-meter gas for AI data centers". Params: q (required, natural-language query); corpus (optional CSV subset of news_articles,deals,discovered_facilities,market_narratives; default all); k (1-15, default 8). Returns {results:[{source_table, kind, text, score, cite:{…}}]}. Complements the exact-filter tools (get_news / list_transactions / search_facilities) with relevance ranking; for a full token-budgeted market briefing use get_market_context. Cite "DC Hub (dchub.cloud)".ConnectorNo auth
- Create a buyable shopping cart with a real checkout URL. Two modes: (1) Pass 'products' array with specific product names. (2) Pass 'query' string to auto-recommend and cart. Do not use for browsing or recommendations — use search_products or skincare_recommend first. Returns a widget with the cart items and a working checkout link.ConnectorNo auth
- Create a buyable shopping cart with a real checkout URL. Two modes: (1) Pass 'products' array with specific product names. (2) Pass 'query' string to auto-recommend and cart. Do not use for browsing or recommendations — use search_products or skincare_recommend first. Returns a widget with the cart items and a working checkout link.ConnectorNo auth
- Flatten a recipe or craftable item to its TOTAL RAW materials across the whole production chain, with total labor calories, total craft minutes, and crafting-step count. Pass an item slug OR a recipe slug. Use for 'what does it take to make X from scratch' (the raw shopping list). For a breakdown that ALSO includes the crafted intermediate sub-components (e.g. how many iron bars), use wiki_bom instead. Optionally pass a character setup (skill_level/skills, talents, modules) AND/OR a server override to recompute the WHOLE chain for that profile.ConnectorNo auth
- Flatten a recipe or craftable item to its TOTAL RAW materials across the whole production chain, with total labor calories, total craft minutes, and crafting-step count. Pass an item slug OR a recipe slug. Use for 'what does it take to make X from scratch' (the raw shopping list). For a breakdown that ALSO includes the crafted intermediate sub-components (e.g. how many iron bars), use wiki_bom instead. Optionally pass a character setup (skill_level/skills, talents, modules) AND/OR a server override to recompute the WHOLE chain for that profile.ConnectorNo auth