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741,056 tools. Updated 2026-11-04 00:50

"Information about CorelDRAW MCP (Model Context Protocol)" matching MCP tools:

  • Daily TVL, volume, and fees time series for one named protocol. One-shot profile→get_platform_info. Ranked multi-protocol list→search_platforms. CEX perps history: pass exchange_slug (e.g. gate) or platform_name. Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.
    ConnectorNo auth
  • Estimate the USDC cost of a chat completion request before paying — free, no payment, no authentication required. Read-only: no state changes and no external calls; the estimate is computed locally from server pricing config, so repeated calls with identical inputs return identical results (idempotent). Use this tool to check the exact price for a given model/mode, messages, and max_tokens before calling the paid chat_completions tool. Provide either mode (auto/eco/premium routing) or model (explicit id, mutually exclusive with mode); one of the two is required — if both are sent, model wins. mode values: auto = cheapest model fitting the context, eco = cheapest available, premium = best model.
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  • Fetch complete, structured information about a single Amazon product: title, brand, images, feature bullets, description, Buy Box price and availability, Prime eligibility, rating and review count, Best Sellers Rank, category path, variants, specifications, and top reviews. This is the primary tool for product analysis, listing enrichment, and price monitoring. Use this tool when you need a full product profile. If you only need competing seller prices, use get_product_offers instead (cheaper context). If you only need the sales rank, use get_bestseller_rank. If you only need shipping dimensions or the FBA fee category, use get_package_dimensions. Provide EITHER the identifier field OR url — never both. Costs 1 credit; set a_plus_content to true only when the user explicitly asks about enhanced brand content, as it costs 1 extra credit.
    ConnectorNo auth
  • List the full model catalog. Returns id, provider, display name, context window, max output tokens, pricing, and a per-model `available` verdict for your account (with `unavailable_reason` when false). Nothing is filtered out — `available` is what varies by caller. Call before `create_deliberation` if the user wants specific models. Model IDs from this endpoint are what `create_deliberation`'s `models` parameter expects.
    ConnectorNo auth
  • Read-only. Returns detailed information for one sailing-ship model, including vessel background, technical notes, and build-log parts. Use list_builds to browse or filter the model catalog, and use list_model_slugs when a model slug must be identified from a name or metadata. Use this tool when details for one known model are needed; do not use it for catalog browsing. Without partNumber or partSlug, returns model metadata and a summary list of build-log parts. Set partNumber or partSlug to retrieve one build-log part with complete, untruncated content. If both are provided, partSlug takes precedence. Returns a not-found result if the model or requested build-log part does not exist.
    ConnectorOAuth
  • Use this when the user asks about a specific Model Context Protocol server — whether it is listed in the official MCP registry, what endpoint it publishes, how current its listing is, or whether that endpoint responds. Returns the registry record (name, version, publish and update dates, declared remote endpoints, registry status) plus the result of one anonymous request to a registry-published endpoint. Reports observations only. It does NOT assess whether a server is safe, trustworthy, well-built or suitable — we cannot see what a server does with data, and reachability is not safety. Many listed servers require authentication and cannot be queried anonymously; that is normal and is not a fault. Absence from the registry is not evidence a server does not exist. Not for: security assessment, recommending which MCP server to install, or checking AI tools in the RightAIChoice catalog (use check_tool_status).
    ConnectorNo auth

Matching MCP Servers

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  • Use this when the user asks about a specific Model Context Protocol server — whether it is listed in the official MCP registry, what endpoint it publishes, how current its listing is, or whether that endpoint responds. Returns the registry record (name, version, publish and update dates, declared remote endpoints, registry status) plus the result of one anonymous request to a registry-published endpoint. Reports observations only. It does NOT assess whether a server is safe, trustworthy, well-built or suitable — we cannot see what a server does with data, and reachability is not safety. Many listed servers require authentication and cannot be queried anonymously; that is normal and is not a fault. Absence from the registry is not evidence a server does not exist. Not for: security assessment, recommending which MCP server to install, or checking AI tools in the RightAIChoice catalog (use check_tool_status).
    ConnectorNo auth
  • Verify factual claims about current DeFi market conditions. Supports two modes: - Single claim: provide claim_type, value, operator (and protocol/chain/asset as needed). Returns one verification result. - Batch mode: provide a JSON-encoded array in 'claims'. Each element has the same fields (claim_type, value, operator, protocol, chain, asset). Returns all results in one response. If 'claims' is provided, single-claim parameters are ignored. Args: api_key: Your PreFlyte API key (required). claim_type: What you're checking. One of: "supply_rate" — current supply APY (%) "borrow_rate" — current borrow APY (%) "price" — current token price (USD) "gas" — current base fee (gwei) "utilization" — current pool utilization (%) value: The numeric value you believe to be true. operator: Comparison operator. One of: "above" — actual must be >= value "below" — actual must be <= value "around" — actual must be within 10% of value protocol: Required for supply_rate, borrow_rate, utilization. Use "aave-v3" or "compound-v3". chain: Chain name — "ethereum" or "arbitrum". Default "ethereum". asset: Required for supply_rate, borrow_rate, price, utilization. Use token symbol like "USDC", "WETH", etc. claims: JSON-encoded array of claim objects for batch verification. Each object contains: claim_type, value, operator, and optionally protocol, chain, asset. When provided, single-claim params are ignored. Returns: Single mode: Dictionary with status (TRUE/FALSE), actual_value, claimed_value, delta, delta_pct, data_timestamp, and summary. Batch mode: Dictionary with 'mode', 'results' array, 'summary' counts, and 'verified_at' timestamp. Examples: Single: verify_claim(api_key="...", claim_type="supply_rate", value=5.0, operator="above", protocol="aave-v3", asset="USDC") Batch: verify_claim(api_key="...", claims='[{"claim_type": "supply_rate", ...}, ...]')
    ConnectorNo auth
  • Reads the state of LoomDesk's protocol-owned liquidity book: one LOOM/WETH position on LoomPairsHookV2, whose hook takes every fee in WETH. Use when asked about the protocol itself, its treasury, its earnings or the LOOM buyback. Not for a user's positions (my_ladders) or the market (market_tokens). Returns: asOf, block, bookValueUsdg, positionsValueUsdg, idlePrincipalUsdg, feesCollectedUsdg, earningsPendingUsdg, uncollectedFeesUsdg, paidToHoldersUsdg (historical: payouts ended 24 September 2026), reinvestedUsdg, positions[] (symbol, version, own, valueUsdg, inRange, feeWeekly), buyback (how earnings buy LOOM; LOOM is never sold), notice. Behavior: read-only, no parameters, refreshed every 10 seconds; costs 1 unit. Errors: none beyond a quota refusal.
    ConnectorNo auth
  • Ask AI agents on other model families for a second opinion when folkmoot_search had nothing close. Good questions: library or architecture choices, naming, whether an approach is sane, a fact you are unsure of, a bug others may have hit. Returns resident answers from several model families within a minute, plus a check_url where member answers and a ranked vote arrive over 6-24 h. No account needed: the first call returns a visitor token, and the same text asked again within 7 days returns the existing question. Unlisted by default; becomes a public page only once several model families have answered. Do not include secrets or proprietary code. Example: {"text":"Which Postgres-backed job queue suits a Node API without Redis?","context":"about 50 jobs/s"}.
    ConnectorNo auth
  • Notifies Bing, Yandex and the other IndexNow engines of up to 100 URLs of one site at once; it does not reach Google, and each engine decides when it crawls. It needs the site's IndexNow key file in place (indexnow_ready in list_sites) and takes 20 submissions per site a day. More than 10 URLs at once wait for the user's yes. A client on MCP protocol 2026-07-28 that supports elicitation gets a question to confirm, and the answer does not pass through the model. This remote server keeps no session, so a client on an earlier protocol version is not asked: the tool refuses first with a confirm token, and the call with that token stands for the user's yes.
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  • Get DeFi yield pool rates from DeFiLlama across 1,000+ protocols and all chains: pools sorted by APY with TVL, base/reward APY, and 7d/30d mean APY context, filterable by protocol, chain, min TVL, min/max APY, and symbol. Returns up to 50 pools. For protocol-specific lending comparisons (Aave vs Compound) prefer get_lending_rates. Use when: Use for broad cross-protocol yield discovery. Call at most once per request — filter with min_apy, max_apy, min_tvl_usd, and symbols_any in a single call, then sort client-side rather than re-calling. For protocol-specific rate questions use get_lending_rates. Limitations: Third-party DeFiLlama analytics; up to 50 pools per call. The `symbol` field lists underlying tokens (e.g. 'ETH-USDC') — filter client-side instead of re-calling with different arguments. Reward APY indicates reward-dependent yield; do not present spot APY as durable. Alternatives: get_lending_rates, get_protocol_tvl, get_token_price
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  • Call any view/pure function on a smart contract and return the decoded result, using a supplied ABI fragment. Supports historical reads via block_identifier and caller_address context for msg.sender-dependent views. Read-only: state-changing functions are rejected. Use when: Use when a protocol question needs a contract read that no higher-level tool covers — e.g. a niche view function or a protocol outside the standard tool set. Prefer purpose-built tools (get_defi_positions, get_lending_rates) for supported protocols. Limitations: Requires a valid ABI fragment; payable/nonpayable functions are rejected. Ethereum mainnet and Base only, with bounded RPC timeout and retry. Alternatives: get_defi_positions, get_lending_rates, get_token_approvals
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  • List the product categories this server can actually source, with the structured spec fields each one carries (a vehicle has year, make, model, mileage; a tool has drive size and torque). Call it before a first search to learn which `vertical` values are accepted, or when a search returns nothing and you need to check the category is covered at all. Free, instant, no side effects. Protocol v1.0 §8.2.
    ConnectorNo auth
  • Returns Fluentive's security, privacy, and compliance information. Use when the user asks about GDPR, data storage location, encryption, security certifications, or payment security.
    ConnectorNo auth
  • Return a canonical Clipkit doc as text. topic "card" = the ~8KB compact authoring card — the recommended context for authoring; "pattern-lighting" = the shine/neon/glow technique rigs; "pattern-data-viz" / "pattern-cinematic-ui" / "pattern-ui-screencast" / "pattern-promo-teaser" = ~4-5KB pattern cards (proven idioms: count-ups and bar rows; product hero shots with camera rigs; faked app UI with typing/cursor/clicks) — load ONE alongside the card when the brief matches its archetype; "agents" = the full authoring guide (fetch only when the card doesn't cover a need); "protocol" = the formal field spec; "brand" = brand reference. (Same docs offered as MCP resources, exposed as a tool so you can read them directly — resources are not always model-readable.)
    ConnectorNo auth
  • Suggest an update to the user's saved context (something you learned about them). It is saved as a PENDING suggestion for the user to review and accept or ignore - it does NOT directly change their profile, and nothing is ever written to their files. When a conversation has surfaced something new and durable about the user and is wrapping up (the user says thanks, goodbye, or that's all, or the task completes), offer to save it here before the context is lost.
    ConnectorNo auth
  • Keyword search WITHIN a single episode's transcript. Returns matching chunks with surrounding context. Use instead of get_transcription when the user asked about a specific topic — server does this faster + cheaper on context.
    ConnectorNo auth
  • Scan untrusted text for prompt-injection patterns before ingestion. FREE. Use on any web page, email, or document an agent is about to ingest to catch prompt-injection and data-exfiltration patterns before they reach the agent's context. Typical input {"text": "<untrusted content>"} returns {"injection_suspected": bool, "count": N, "hits": [{"line": N, "pattern": "...", "text": "<flagged line>"}], "note": "..."}. Not for reviewing a skill file you control (audit_skill_file), and a clean result is not a guarantee of safety - it reports pattern matches only. Errors: on invalid, missing, or malformed input this tool never raises a protocol error; it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
    ConnectorNo auth
  • Scan untrusted text for prompt-injection patterns before ingestion. FREE. Use on any web page, email, or document an agent is about to ingest to catch prompt-injection and data-exfiltration patterns before they reach the agent's context. Typical input {"text": "<untrusted content>"} returns {"injection_suspected": bool, "count": N, "hits": [{"line": N, "pattern": "...", "text": "<flagged line>"}], "note": "..."}. Not for reviewing a skill file you control (audit_skill_file), and a clean result is not a guarantee of safety - it reports pattern matches only. Errors: on invalid, missing, or malformed input this tool never raises a protocol error; it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
    ConnectorNo auth
  • Get metadata about the GovBid Global API including version, data source, license information, and usage guidelines. Call this first to understand the service before making other tool calls.
    ConnectorNo auth