"Cloudflare Workers" matching MCP tools:

• ai_visibility_check

  Zenodo

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• dossier_dnssec

  drwho.me

  Core dossier check: Verify DNSSEC chain-of-trust for a domain (DS, DNSKEY, AD flag). Use to confirm the zone is signed and resolvers accept the chain; prefer dossier_dns for raw record types or dossier_full for the complete audit. Fires Cloudflare DoH DS and DNSKEY queries with DO=1; 8s timeout. Returns a CheckResult discriminated union with { dnssecEnabled, adFlag, ds[], dnskey[] } on success.

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• ai_visibility_check

  emojihub

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• dns_lookup

  drwho.me developer tools

  Context lookup: Resolve a single DNS record type (A, AAAA, MX, TXT, NS, CNAME, SOA, CAA, or SRV) and return the raw answers. Use for quick, targeted lookups of one record type; prefer dossier_dns for a full multi-type DNS audit in parallel, or dossier_full for a complete domain health check. Queries Cloudflare DoH (1.1.1.1/dns-query) over HTTPS, follows CNAME chains, 5 s timeout. Returns a JSON array of answer objects with name, type, and data fields. On error, returns a string describing the DNS failure.

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• dossier_spf

  drwho.me

  Core dossier check: Retrieve and parse a domain's SPF record, decomposing it into mechanisms and qualifiers. Use to verify email sender policy, debug delivery failures, or check the 10-lookup limit; pair with dossier_dmarc for full email-auth coverage, or use dns_lookup with type=TXT for the raw record only. Fetches TXT records via Cloudflare DoH (1.1.1.1), 5 s timeout, locates the v=spf1 record and parses all mechanisms. Returns a CheckResult: on success, {status:"ok", raw, mechanisms:[{type, value, qualifier},...], lookupCount}; on failure, {status:"error", reason}.

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• dossier_dkim

  drwho.me developer tools

  Core dossier check: Probe a domain's DKIM public keys by querying <selector>._domainkey.<domain> for each selector. Use to verify signing configuration or discover active selectors; supply selectors when you know the ESP's selector, or omit to probe six common selectors (default, google, k1, selector1, selector2, mxvault). Issues parallel Cloudflare DoH (1.1.1.1) TXT queries per selector, 5 s timeout each. Returns a CheckResult: {status:"ok", found:[{selector, publicKey, raw},...], notFound:[...]} or {status:"error", reason}.

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• ai_visibility_check

  Airnow

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• ai_visibility_check

  Mailchimp

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• pay_invoice

  MERX - TRON Resource Exchange

  Pay an x402 invoice by signing and broadcasting a TRX transfer to the invoice address, then verifying the payment with the facilitator. x402 (Coinbase + Cloudflare HTTP 402 standard) is the protocol AI agents use to pay APIs per call. Use this when you receive an invoice_id from a paywalled service or another agent. REQUIRES: TRON_PRIVATE_KEY in env (use set_private_key first) AND a valid invoice_id from create_invoice or x402 challenge response. The transfer is signed locally — your private key never leaves the MCP process.

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• ai_visibility_check

  Noaa

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• ai_visibility_check

  jokes

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• ai_visibility_check

  worlduank

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• ai_visibility_check

  Bungie

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• ai_visibility_check

  Owid

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• ai_visibility_check

  Goproxy

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• ai_visibility_check

  dogceo

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• get_compute_ready_stream

  Valuein — SEC EDGAR Fundamentals & Smart-Money Data

  STATUS: pending — direct R2 Parquet access is in private beta (ETA 2026-Q3). Calls return 501 FEATURE_NOT_AVAILABLE today. When live: returns a pre-signed Cloudflare R2 URL for bulk Parquet access that can be piped into Python/DuckDB/Polars for high-throughput computation that exceeds the MCP context window. Datasets: fact (per-entity partition — requires ticker), ratio (all computed ratios), valuation (DCF inputs), filing (SEC filing metadata), references (company universe), index_membership (historical index composition). URL would expire in 15 minutes. TODAY use the Python SDK (`pip install valuein-sdk`) for the same data via DuckDB.

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• ai_visibility_check

  Thesportsdb

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• get_role_pricing

  TempGuru Event Staffing

  Get the all-inclusive hourly rate range for a specific role in a specific city. Perfect for 'What does it cost to hire brand ambassadors in [city]?', 'How much are registration workers in [city]?', or 'What's the rate for ushers at a [city] stadium event?' questions. All rates include W-2 worker pay, workers comp, general liability, and payroll taxes. DO NOT use for availability or dates (use check_availability) and never present the range as a binding quote. For a multi-role budget, use plan_staffing. <examples>get_role_pricing(role='Brand Ambassadors', city='Boston') ; get_role_pricing(role='registration-staff', city='nashville-event-staffing')</examples> <hints>Role and city accept names or slugs. Brand Ambassadors floor at $40/hour in every market.</hints>

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• ai_visibility_check

  xkcd

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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