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254,122 tools. Last updated 2026-07-01 06:35

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    opensearch-mcp-server-py is a Model Context Protocol (MCP) server for OpenSearch that enables AI assistants to interact with OpenSearch clusters. It provides a standardized interface for AI models to perform operations like searching indices, retrieving mappings, and managing shards through both stdio and streaming (SSE/Streamable HTTP) protocols.
    Last updated
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    Apache 2.0
  • Obtain the marketplace floor price for any NFT collection by specifying the network and either the contract address or OpenSea slug to get the minimum listed price across marketplaces.
    MIT
  • Preview a primary-market land mint without committing: get per-cell ETH price, total for chosen quantity, drop window, and per-wallet limit.
    MIT
  • Mint new land cells on the primary market via OpenSea SeaDrop, using ETH as payment. Preview the cost with `quote_mint` and verify your ETH balance before minting.
    MIT
  • Retrieve NFTs held by a wallet on MegaETH, covering ERC-721, ERC-1155, and ERC-404 tokens. Returns up to 25 items sorted by floor price with name, collection, image, and attributes.
    MIT
  • Generate promotional banners with procedural mesh gradient backsplash and layered character cutouts. Auto-scale to Scatter.art, OpenSea, Twitter, Discord, or YouTube dimensions.
    Business Source 1.1
  • Get NFT metadata, traits, image URL, and floor price for any ERC-721/1155 token on Ethereum, Polygon, Base, or Arbitrum.
  • "Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing entities. type="company" pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (off-calendar fiscal years handled correctly — AAPL Sep, NVDA Jan, etc.). type="drug" pulls FAERS adverse-event counts, FDA approval counts, active trial counts. Results sorted by primary metric so "largest" / "most" / "biggest" reads off the top of the response. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8–15 sequential lookups.
    Connector
  • List an ENS name for sale on NameWhisper's marketplace via Seaport 1.6. Returns an unsigned Seaport OrderComponents payload (plus EIP-712 domain/types) that the caller's wallet signs. After signing, POST the { orderComponents, signature, label, orderType: 'listing' } payload to https://namewhisper.ai/api/orderbook/submit (authenticated) to store the order. Fee structure: 1% marketplace fee baked into the order as a Seaport consideration item (seller-paid, not added on top). NW-native only — MCP listings stay on NameWhisper. If you want your listing on OpenSea too, list it separately through their interface. Requires the wallet to have approved NameWrapper (for wrapped names) or BaseRegistrar (for unwrapped) as an operator first. Use approve_operator if needed. Tip: Use get_valuation first to price competitively. Use get_name_details to confirm the name is unwrapped vs wrapped before listing.
    Connector
  • Cancel an active ENS name listing by submitting Seaport's cancel() on-chain. Returns the unsigned Seaport cancel() transaction calldata. Your wallet signs and submits; once mined, Seaport marks the order invalid and no marketplace (NW, Grails, OpenSea) can fulfill it anymore. Only the original seller (the order's offerer) can cancel. If you cross-posted to OpenSea, you signed a second 'opensea' variant of the listing — pass BOTH order hashes as alsoCancel so a single tx kills both variants atomically. For cancelling offers you've made as a buyer, use cancel_offer instead.
    Connector
  • Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.
    Connector
  • Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) `topic` — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning fires in two cases — (a) matched_pairs:0 with skipped_cross_type>0 means the venues frame the topic with non-equivalent bet shapes (e.g. Kalshi range_bucket point-in-time vs Polymarket cumulative_threshold touch-anywhere — no arb exists), (b) matched_pairs:0 with skipped_cross_type:0 and both venues >5 legs means the token-overlap matcher found nothing in common — events likely semantically unrelated despite the topic keyword. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period; aligned:false means spreads are mathematically meaningless across the temporal gap. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.
    Connector