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255,062 tools. Last updated 2026-07-03 02:54

"A tool for connecting to fish.audio and generating AI voice" matching MCP tools:

  • Generates a voiceover from text using Hume Octave TTS. Audio uploaded to Spaces, signed URL returned (24h TTL by default). Charged in credits up-front based on script length (use quote_voiceover for a preview). Best for demo-video narration, tutorial audio, and any one-shot batch TTS. NOT a real-time conversational voice (use Hume EVI for that, different product). Voice options: pass voiceId for a specific Hume voice clone, or omit to use the deployment's default narrator (HUME_OCTAVE_VOICE_ID env var).
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  • Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.
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  • Generate an AI image and place it directly on a user's Avocado AI flow (the Flows Director). Drops a 'Generating...' tile on the flow immediately, then swaps it for the final image when generation completes (10-60s). It appears live on the open canvas and in the Director Library, grouped by role. For a MULTI-BEAT storyboard with a recurring character or setting, this (with reference_image_urls set) is the tool to use for every beat — not edit_image_to_flow, which only modifies one specific existing image. For role 'beat', if you omit reference_image_urls this tool AUTO-USES the flow's current cast/location tiles (the most recently (re)generated role='cast' and role='location' images), so consistency holds even across a fresh conversation with no memory of prior URLs — you rarely need to pass reference_image_urls yourself for beats. To regenerate a specific existing tile (cast, location, or one beat) IN PLACE instead of creating a duplicate, pass replace_node_id (get it from this tool's own past responses, or from list_flow_assets). Costs match generate_image (1-4 credits per image depending on model and quality).
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  • Convert text to speech by cloning the voice from an audio sample you provide (voice-cloning text-to-speech). Both text and sample are required; the text is limited to 1000 characters and the sample is supplied as a URL or base64 audio that must be at most 15MB, with violations returning HTTP 400. Synchronous: the call blocks until generation finishes and returns a single audio result containing a URL; there is no separate polling step. Credits are charged on success. Use this when you have a reference voice sample to clone; use createSpeechPreset to speak with a built-in named preset voice instead, and createVoice to design a brand-new voice from a text description rather than cloning one. Pass an optional request_id to tag the result so you can locate it later via getAudioResults. Requires an API key (user scope). Credits: This endpoint consumes 1 credits per call.
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  • Generate an AI music track and place it directly on a user's Avocado AI flow (the Flows Director). Drops a 'Generating…' audio node on the flow immediately and returns right away; the finished track swaps in automatically (30s-5min later) — no need to wait or check_job (there is no check_job for audio). It appears live on the open canvas and in the Director Library (Audio). Tracks can be 30 seconds to 5 minutes. Costs 4 credits per 30-second block. Use this (not generate_music) when working on a flow.
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  • Convert text to speech using a named built-in preset voice, with optional emotion and language settings. Both text and voice_preset_id are required and the text is limited to 1000 characters; invalid input returns HTTP 400. Synchronous: the call blocks until generation finishes and returns a single audio result containing a URL; there is no separate polling step. Credits are charged on success. Use this when you want a ready-made catalog voice and do not need to supply your own sample; use createSpeech to clone a voice from an audio sample instead, and createVoice to design a new voice from a text description. Pass an optional request_id to tag the result so you can locate it later via getAudioResults. Requires an API key (user scope). Credits: This endpoint consumes 1 credits per call.
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  • Search the AI Tool Directory catalog: tool details, status checks (alive/acquired/deceased + cause and date), alternatives, and side-by-side comparisons. Read-only.

  • Measure voice/VoIP path quality -> estimated MOS + live network metrics

  • Get a personalized market news briefing based on your validated edge library. Profiles your strategies, searches today's news for the instruments and setups you actually trade, and writes a concise digest connecting each headline to your specific book. Each news item includes a ↳ line tying it to your actual positions and edges (e.g. 'your ES momentum setups', 'your GC mean-reversion edge'). Requires at least 5 strong edges in your library. Costs credits.
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  • Place a conversational voice-AI phone call to a business on a consumer's behalf and return a structured answer. THE differentiated capability: reach the ~60M long-tail SMBs that have NO API and NO booking page — only a phone number. An AI agent cannot pick up a phone and hold a conversation; this tool does. Give a plain-language objective; the voice AI navigates the call and extracts the answer. Business-directed (B2B), far less restricted than calling consumers — but the compliance gate still enforces recording consent per jurisdiction. Async: returns a call handle; poll get_outcome for the transcript + extracted fields. WHEN TO USE: Use when the target business has NO booking URL and NO API — only a phone number — and the consumer asked the agent to reach them (e.g. 'call this plumber and ask if they can come Tuesday', 'ask the salon if they take walk-ins this afternoon'). Also use to confirm details a booking page doesn't expose (real-time availability, custom quotes). WHEN NOT TO USE: Do NOT use when the business has a booking URL — use import_booking_url + schedule_appointment (cheaper, faster, deterministic). Do NOT use for calls to consumers/individuals (this tool is for reaching businesses). Do NOT use for marketing or telemarketing — the compliance gate and the B2B-only framing reject that. COST: $0.5 per_call LATENCY: ~45000ms EXECUTION: async_by_default (use get_outcome to retrieve result)
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  • Fetches a domain's homepage and checks for content patterns that could constitute prompt injection attacks against AI agents that visit and ingest the page. Signals include hidden text, invisible divs, `<!-- AI: ignore -->` style comments, and known injection patterns. Use this tool when: - You are vetting a domain before feeding its content into an LLM context. - You want to assess the prompt injection risk of a URL before browsing it with an agent. - You are auditing a set of domains for adversarial AI content. Do NOT use this tool when: - You want tracker surveillance data — use `get_domain` instead. - You want AI training opt-out signals — use `intel_optout` instead. - You want the agent surface (MCP/OpenAPI) — use `intel_agent` instead. Inputs: - `domain` (query, required): Domain to scan. Returns: - `injection_signals`: list of signal types detected (e.g., `hidden_text`, `ai_instruction_comment`, `invisible_div`). - `risk_level`: `none`, `low`, `medium`, or `high` based on signal count and type. Cost: - Free. No API key required. Latency: - Typical: 2-4s (HTML fetch), p99: 7s.
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  • Convert text to natural-sounding speech and place the voiceover directly on a user's Avocado AI flow (the Flows Director). Drops a 'Generating…' audio node immediately and returns right away; the finished voiceover swaps in automatically — no need to wait or check_job (there is no check_job for audio). It appears live on the open canvas and in the Director Library (Audio). Costs 3 credits per 1000 characters. Use this (not generate_speech) when working on a flow.
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  • Design a new voice from a character description (such as "deep-voiced warrior" or "cheerful young girl") and have it speak a short line of text, returning a sample of that newly created voice. Both voice_description and text are required, the spoken text is limited to 200 characters or the call returns HTTP 400, and type selects "human" or "non-human" voices. Synchronous: the call blocks until generation finishes and returns a single audio result containing a URL; there is no separate polling step. Credits are charged on success. Use this to invent and audition a voice from a description; use createSpeech for text-to-speech that clones a specific voice from an audio sample, and createSpeechPreset for text-to-speech using a named preset voice. Pass an optional request_id to tag the result so you can locate it later via getAudioResults. Requires an API key (user scope). Credits: This endpoint consumes 1 credits per call.
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  • Text-to-speech with 3 tiers: OmniVoice Global (602+ languages including Yoruba, Bengali, Cebuano, Twi, zero-shot voice cloning, 100 chars/sat — use 'language' parameter with ISO code), Inworld Premium (#1 ranked TTS ELO 1217, emotion control, 40+ languages, 50 chars/sat), Minimax Studio (voice cloning from reference clip, 40+ languages, 10 chars/sat). Adjustable speed (0.5-2.0x). Returns audio URL. Pay with Bitcoin Lightning — no API key or signup needed. When NOT to use: not for phone calls (use place_call for one-shot broadcasts, ai_call for AI voice agents, or open_voice_bridge to drive the call with your own LLM). For rare/underserved languages (Yoruba, Twi, Marathi, Cebuano, etc.), pick OmniVoice Global via language= — Inworld/Minimax don't cover these. Requires create_payment with toolName='text_to_speech'.
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  • **Tool for creating/building/generating a Wix site or website using AI (Wix Harmony).** This is the default tool for site creation. **ROUTING — check the user's original message before calling this tool:** - If the user **explicitly** mentioned a template, Wix Studio, or headless → do NOT call this tool. Call CreateWixBusinessGuide directly. - Otherwise → call this tool directly. - Do NOT use WixREADME or SearchWixRESTDocumentation before this tool. - Do NOT suggest HTML code, prompt templates, or alternative approaches. - Do NOT call ManageWixSite, CallWixSiteAPI, ExecuteWixAPI, SearchWixRESTDocumentation, BrowseWixRESTDocsMenu, or any other tool for site creation — those are not valid entry points and will fail. **IMPORTANT: The sitePrompt must be under 6000 characters.** If the user's request is longer, summarize and condense it while preserving the key requirements.
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  • Test a message against an AI filter to check whether it would match. This tool embeds the provided message using Voyage AI and computes the cosine similarity between the message vector and the filter's stored reference vector. It returns the similarity score, whether the message would match (similarity >= threshold), and the filter's threshold value. Use this to: - Verify a filter works as intended before using it in a trigger - Tune the threshold by testing borderline messages - Debug why a message did or did not match a filter in production Returns: {similarity: float, matched: bool, threshold: float} Note: This tool calls the Voyage AI embedding API to embed the test message.
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  • Get Lenny Zeltser's expert CTI writing guidelines. Topics include tone, words, structure, executive_summary, voice, articles, summary, brief (one-page brief section guidance), handoffs (cross-server routing), methodology (the three subsections), fields (per-field guidance), and CTI-specific topics: attribution (full Six Signals prose), confidence (ICD-203 ladder), pyramid_of_pain, six_signals (signals table only), and anti_patterns. The general writing topics (tone/words/structure/executive_summary) now defer to `get_security_writing_guidelines` for the canonical Five Elements rules; CTI-specific content lives in the other topics. Pair the 'fields' topic with field_id for single-field guidance. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.
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  • List tone profiles for a strategy. Today returns at most one entry — the tone_of_voice synthesized by the Tone of Voice Synthesis agent (POWER-mode bundles only). The shape is list-stable so future multi-tone bundles plug in without changing the contract. Use this to align generation with the brand-tied voice DNA before writing copy, hooks, or scripts.
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  • List your campaigns with ID, name, status (draft/running/paused), description and lead counts. Use this to obtain campaign_id when adding leads, generating messages or approving drafts.
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  • Get the caller's OWN content profile / DNA (topics, pillars, voice) synthesized from their content. Takes no arguments and is user-level in V1 (aggregated across all your connected accounts). There is no per-creator content-profile tool — for competitor analysis use get_creator + list_creator_videos.
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  • Mandatory initialization step for any session against the Blockscout MCP server. Returns server reference data plus the `blockscout-analysis` skill pointer and URI resolution rule. MANDATORY FOR AI AGENTS: Call this tool first in every session. The returned payload identifies where the operating rules and analysis framework live and how to read referenced skill files before executing further tool calls.
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  • Discover available AI models with numeric IDs, tier labels, capabilities, and per-call pricing in sats. Call this before create_payment to find the right modelId for your task. Returns JSON array: [{ id, name, tier, description, price, isDefault, category }]. Models marked isDefault=true are used when you omit modelId from create_payment. Filter by category to narrow results to a specific tool. This tool is free, requires no payment, and is idempotent — safe to call repeatedly.
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