"Automated Chat Service Based on Personalized Text Messaging Style" matching MCP tools:

• onyx_solve_captcha

  onyx-mcp

  Solve an image-based text captcha and return the recognized text. Works on standard alphanumeric captchas (web signup forms, login walls, scraping checkpoints). OCR via ddddocr — typical p50 latency 30-80ms, 70-90% accuracy on common captcha fonts. Provide either an image URL we fetch on your behalf, or raw base64 image bytes if you already have them. Use when an agent encounters a captcha mid-task and needs to continue without human intervention. Cheaper and faster than 2captcha for simple image captchas; not designed for reCAPTCHA v2/v3 or hCaptcha (those are interaction-based). (price: $0.003 USDC, tier: metered)

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• send_message

  Dock

  Send a direct message to another agent or human in the messaging substrate. Wires through cue.dock.svc, the same path the /live UI uses, so the recipient sees this message in their drawer (and, once they have a Dock-connected agent worker running, their agent harness's inbox). Address format is `<agent_slug>@<user_slug>`: `flint@socrates` targets the `flint` agent owned by user `socrates`; `self@<user_slug>` targets a human's synthetic self-agent (use this to message a human directly when you don't know which of their agents to ping). Use this when an agent legitimately needs to ask a teammate (human or agent) for help, hand off work, or follow up async; don't use it as a chat-ops side-channel for things that belong in workspace events. Sender identity follows the caller: agent callers send AS themselves, user callers send AS their self-agent (`self@<their_slug>`). Body cap is 32,000 chars. Returns `{ messageId, threadId, to }` on success. The recipient is resolved against the substrate's identity space, NOT against your accessible workspace set, this is messaging, not workspace write access. Pre-cue.dock.svc-deploy environments return `cue_not_configured` (caller treats as 'messaging not deployed yet').

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• videos_generate

  DialogBrain

  Generate a short video (5-10s) from a text prompt using BytePlus Seedance. Optionally accepts up to 12 image file IDs from the user's attached files (visible in the [ATTACHMENTS] block) as `reference_file_ids` for style and composition. Returns immediately with a job_id; the video is delivered back via continuation when the job completes (~30-90s for fast model, ~2-5min for pro). Reference images are temporarily re-hosted on a third-party CDN (imgbb) for the duration of generation and deleted on completion — don't submit confidential references. Gated behind a workspace opt-in flag.

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• popular_routes

  Tripuck

  Tripuck's Explore service — most popular destinations with current prices from a given origin city, aggregated from live flight inventory data. Use for inspiration-style queries where the destination is unknown: "where can I fly from Istanbul?", "İstanbul'dan nereye?", "وجهات شعبية من دبي", "populäre Reiseziele ab München". The LLM MUST infer the user language from the conversation and pass it via the `locale` parameter ("tr" Turkish, "en" English, "ar" Arabic, "az" Azerbaijani, "de" German, "ka" Georgian, "uz" Uzbek). All widget UI text and the text response are then returned in that language. If `currency` is not specified, a sensible default is picked from the locale (tr→TRY, en→USD, de→EUR, ar→USD, az→AZN, ka→GEL, uz→UZS).

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• list_categories

  Tewdy

  List the service categories Tewdy supports (plumbing, translation, tutoring, cleaning, etc.). Returns slug, name, description, and businessType for each. Use this to map a free-text user request to a known category before calling search_providers. Optional business_type filter (e.g. "individual", "company").

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• escalate_to_human

  Agent Broker

  Hand off an in-flight task to a human operator with a full context bundle: transcript, prior actions, identifiers, and a recommended next step. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "I'm stuck — get a human at smb_xyz to call me back" -> call escalate_to_human({"smb_id": "smb_xyz", "reason": "agent_blocked", "summary": "Cannot resolve via automated channels"}) WHEN TO USE: Use when automated resolution has failed after channel-fallback exhaustion, when the task requires human judgment, or when the customer has explicitly requested human contact. WHEN NOT TO USE: Do not use as a first resort. Escalate only after automated resolution attempts. COST: $0.2 per_escalation LATENCY: ~2000ms EXECUTION: async_by_default (use get_outcome to retrieve result)

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• get_about

  Follow On Tours

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• get_about

  cricket-travel

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• get_cost_estimate

  Sats4AI - Bitcoin-Powered AI Tools

  Get an exact sat cost quote for a service BEFORE creating a payment. Useful for budget-aware agents to price-check before committing. No payment required, no side effects. Pass service=text-to-speech&chars=1500, service=translate&chars=800, service=transcribe-audio&minutes=5, etc. Returns { amount_sats, breakdown, currency }. Omit params to see the full catalog of supported services.

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• ai

  Fast.io

  AI RAG chat, document analysis, shareable summaries on workspaces and shares. Call action='describe' for the full action/param reference. Destructive: chat-delete. Side effects: chat-create/message-send consume credits; chat-cancel terminates an in-progress message (partial tokens billed; idempotent). Verbosity (detail param): chat-list/message-list default to terse (compact rows). chat-details/message-details default to full (drill-down). Pass an explicit detail='standard'|'full' to override.

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• x711_agent_telegram

  x711 — Universal Agent Gas Station

  Agent-to-agent messaging via Telegram — the fastest real-time channel between agents. Two modes: (1) Direct DM: provide target_agent_id to deliver a private message to that agent's operator on Telegram (they must have registered their Telegram via /api/agent/set-contact). (2) Group broadcast: omit target_agent_id to post to @x711criptic, the live x711 agent community on Telegram — all operators monitoring the group see your message instantly. Requires API key. Returns: { delivered, method: 'direct'|'group', to, note }. Cost: $0.02.

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• calls_list_history

  dialogbrain

  Search historical voice calls in this workspace by participant name, contact_id, thread, channel, source, and/or date range. Returns one row per call (NOT per turn) with call_id, duration_seconds, outcome, direction, started_at, source, channel_label, and parent_thread_id (the originating chat thread for Telegram-group / Twilio-outbound / Meet calls). Pair with calls.get_transcript(call_id) for the full per-turn transcript. Use this instead of messages.read_history for cross-thread call queries — group calls and Meet sessions live on per-call sub-threads, not on the parent chat thread.

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• videos_generate

  dialogbrain

  Generate a short video (5-10s) from a text prompt using BytePlus Seedance. Optionally accepts up to 12 image file IDs from the user's attached files (visible in the [ATTACHMENTS] block) as `reference_file_ids` for style and composition. Returns immediately with a job_id; the video is delivered back via continuation when the job completes (~30-90s for fast model, ~2-5min for pro). Reference images are temporarily re-hosted on a third-party CDN (imgbb) for the duration of generation and deleted on completion — don't submit confidential references. Gated behind a workspace opt-in flag.

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• generate_image

  Frenchie

  Generate a single image from a text prompt through Frenchie. Required: prompt. Optional: style (free-text style direction), size, quality, format, background. stdio mode auto-saves the image to .frenchie/<slug>/generated.<ext>; HTTP mode returns a presigned imageUrl that the agent should download for the user.

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• group_discovery_preview_messages

  dialogbrain

  Read recent public messages from a group without joining it. Only works for groups where can_preview_history=true. Use this to manually evaluate message quality before deciding to join. For an automated quality score, use group_discovery.scan instead. Returns: list of recent messages with sender, text, date, is_reply.

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• lz_oft_send

  Tenzro LayerZero V2 MCP

  Build transaction calldata for an OFT (Omnichain Fungible Token) send() call on any OFT contract. OFT V2 uses uint64 amountSD (shared decimals) instead of uint256 amountLD. Returns the hex-encoded calldata for OFT.send(SendParam, MessagingFee, refundAddress). The caller must first call lz_quote_fee or lz_oft_quote to get the messaging fee, then sign and broadcast this transaction with msg.value = nativeFee.

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• virtualsms_get_order

  sms

  Get the full details of a specific order, including status, phone number, service, country, timestamps, and any received SMS code/text. Use this when you have an order_id and need the latest state beyond what check_sms returns.

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• get_quote

  AdvocateMCP

  Quote price for a service at a business. Deterministic lookup of pricing_json_v2.ranges[]; LLM fallback on miss, labelled 'estimate' with disclaimer.

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• check_attachment_safety

  Agent Safe

  Assess email attachments for malware risk based on filename, MIME type, and size BEFORE opening/downloading. $0.01/call via skyfire-api-key header (Skyfire Buyer API Key). By using this service you accept the Terms of Service. Advisory service only.

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• search_products

  SearchShop AI

  Browse and search the product catalog. Use when the user wants to see what's available, look up specific products, browse by category, compare options, or asks 'show me' / 'what do you have.' Do not use when the user needs personalized recommendations based on skin concerns — use skincare_recommend instead. Returns all matching products with prices, images, and checkout. Unlike skincare_recommend, this does not score or filter — it shows everything that matches so the user can decide.

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