"A real-time voice and text AI assistant with Google Search integration and system control" matching MCP tools:

• word_createA

  local-mcpA

  Creates a new Word (.docx) document at `path` with the given text content (and an optional title rendered as the heading). Requires confirm=true — called without it, returns a preview of what will be written instead of creating the file. The path must be somewhere Local MCP can write; Desktop/Documents/Downloads may need a one-time Files-and-Folders grant (System Settings → Privacy & Security → Files and Folders). Returns {created, path}. For a OneDrive or Google Drive path use onedrive_write_file / gdrive_write_file; to append to an existing doc use word_append, to read one word_read.

  ConnectorNo auth

• humanize_commentA

  Prowlo — Reddit & X for AI agentsA

  Rewrite YOUR drafted comment so it reads like a real person typed it, not an AI: strips AI tells, compresses to the 1-2 points that matter, varies rhythm, and lightly "dirties" it (lowercase sentence starts, no markdown). Best AFTER you draft a reply — write the real substance, then humanize it. INPUT RULES for best results: (1) put every fact/number/name you want kept IN the text — it never invents any; (2) keep it to ONE or TWO points — it cuts hard and drops the rest; (3) plain text only — markdown, bullet lists, and em-dashes are stripped; (4) shorter is better, ≤2000 chars; (5) one comment per call, do NOT include the post you are replying to. Pick `character` for the voice. Returns the rewrite, the AI "tells" found in your draft (so you can draft cleaner next time), and remaining daily quota. Output is intentionally imperfect + non-deterministic — do NOT "fix" it or retry for a cleaner version. Free · daily-capped · no Reddit credits. (usable right now without an account, daily-capped per IP)

  ConnectorNo auth

• check_textA

  WSC - Writing Style CheckerA

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

  ConnectorNo auth

• two_fa_verification_createA

  WavixA

  Creates a 2FA verification and sends a real one-time password (OTP) to the destination number over the selected channel. Use when the user asks to start phone verification and has confirmed the destination number and channel. Billable per OTP sent and irreversible: the message or call is delivered to a real phone once accepted. Requires the `two_fa:write` scope, a `service_id` for a 2FA service configured in the Wavix portal, a `to` number in E.164 format, and a `channel` of `sms` (text message) or `voice` (call reading the code aloud).

  Connector

  Destructive

  OAuth

• how_munimji_helpsA

  HelloBooks AI AgentsA

  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.

  ConnectorNo auth

• voice_fingerprintA

  Moltline Humanizer — Voice-Matching EditorA

  Build a measurable voice profile from samples of a person's real writing. FREE. Feed it 2+ samples (emails, posts, essays — 150+ words total) and use the result with humanize_plan / verify_rewrite. Typical input {"samples": ["<email text>", "<blog post>"]} returns {"label": "my-voice", "target_metrics": {"avg_sentence_len": ..., "burstiness": ..., ...}, "favorite_words": [...], "signature_habits": ["..."], "words_analyzed": N}. Use on samples the person actually wrote, to build a target profile. Not for scoring an unknown draft (ai_tell_scan) and not on text the person did not write. 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>"} (for example {"error": "need 150+ words of real writing across the samples"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  ConnectorNo auth

• get_full_personaA

  Moltline StudioA

  Load a product's complete persona definition. PREMIUM (paid plan). Typical input {"slug": "inbox-zero-assistant"} returns {"slug": ..., "persona": "<full persona text>"}. Returns the persona text alone, with no skill bodies. Use when the caller needs the product's voice and operating rules only. Not when skills are also wanted - get_full_product returns persona and every skill in one call. 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>"} (for example {"error": "unknown slug '<value>'"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  ConnectorNo auth

• generate_voiceA

  HermosoA

  RAW text-to-speech from the voice-model catalog: speak a script in a chosen voice and return the served MP3 URL. For a standalone voiceover / narration clip — NOT for adding audio to a video (render_ad and generate_video voice their own spots; change_voice re-voices a finished clip). engine picks the voice model (default 'seed-audio'; also 'eleven-v3', 'minimax-speech', 'kokoro'); voice is a preset name from that engine (see hermoso_capabilities → voice engines) — a name that engine does not have is REFUSED for free with its real list, and a few engines generate their own voice and take no preset at all (the reply says which voice actually spoke). Paid (a couple of credits by length; ≤900 characters).

  ConnectorNo auth

• create_documentA

  ShareWatchA

  Create a new Google Doc in the user's Drive. The content is inserted as plain text — Markdown is NOT rendered, so headings and bold written here arrive as literal ** and # characters. To produce a formatted document, create it and then call format_document, which converts Markdown into real Google Docs styling.

  ConnectorOAuth

• generate_excel_formulaA

  toolforteA

  Turn a plain-language request into an Excel or Google Sheets formula, or explain a formula someone else wrote. Returns the formula, a step-by-step explanation, notes on pitfalls (absolute references, empty cells, text that looks like numbers) and alternatives. Handles the English and Dutch function names and argument separators (comma versus semicolon), XLOOKUP, INDEX/MATCH, SUMIFS, LET, LAMBDA, dynamic arrays and Google Sheets specifics such as ARRAYFORMULA and QUERY. Always check the result on a copy of your data. Costs one AI generation (10 credits) with an API key; a few free demo calls per day without one. Same result as POST /api/v1/ai/excel-formula.

  ConnectorNo auth

• web_imagesA

  agentdata-nlA

  Google Images search for AI agents at $0.010 per call, from the same Serper.dev source as /web/search. Send a query, get back compact JSON: top image results with position, title, image URL, source page link and dimensions. Tune with num (1-10 results), country and language (2-letter codes). Zero results is a valid, honest answer. Pay per call in USDC on Base, no account, no API key.

  ConnectorNo auth

• voice_fingerprintA

  Moltline HumanizerA

  Build a measurable voice profile from samples of a person's real writing. FREE. Feed it 2+ samples (emails, posts, essays — 150+ words total) and use the result with humanize_plan / verify_rewrite. Typical input {"samples": ["<email text>", "<blog post>"]} returns {"label": "my-voice", "target_metrics": {"avg_sentence_len": ..., "burstiness": ..., ...}, "favorite_words": [...], "signature_habits": ["..."], "words_analyzed": N}. Use on samples the person actually wrote, to build a target profile. Not for scoring an unknown draft (ai_tell_scan) and not on text the person did not write. 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>"} (for example {"error": "need 150+ words of real writing across the samples"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  ConnectorNo auth

• synthesize_speechA

  Brainiall PronunciationA

  Generate natural speech audio from English text. Produces high-quality speech with 12 English voices. Returns base64-encoded WAV audio (16-bit PCM, 24kHz mono) along with metadata. Available voices: - af_heart (default), af_bella, af_nicole, af_sarah, af_sky (American female) - am_adam, am_michael (American male) - bf_emma, bf_isabella (British female) - bm_george, bm_lewis, bm_daniel (British male) Args: text: English text to synthesize (1-5000 characters). voice: Voice ID. See list above. Defaults to 'af_heart'. speed: Speed multiplier from 0.5 to 2.0 (default: 1.0). Returns: dict with keys: - audio_base64 (str): Base64-encoded WAV audio (16-bit PCM, 24kHz) - duration_ms (str): Audio duration in milliseconds - voice (str): Voice ID used - text_length (str): Input text character count - processing_ms (str): Synthesis time in milliseconds

  ConnectorNo auth

• validate_artifactA

  Verificate MCPA

  Deterministic production-readiness gate for AI-built systems. Verifies the invariants that stop a system silently shipping broken: every critical component is PRESENT and LOADS, the import closure resolves (nothing assumed 'already on the box'), all runtime dependencies are declared, and health is a REAL fail-closed check. Returns approve/reject with a fix plan and ISO 27001 / ISO 5055 control evidence. Facts are gathered by the Verificate collector in your CI; the gate is the authority. Non-bypassable, fails closed. This is the control-plane sibling of validate_ai_output — code quality is one invariant; this gates the whole deployable.

  ConnectorNo auth

• generate_audioA

  switchA

  Generate spoken audio from text: narration, a voiceover, a read-aloud script, or a multi-voice dialogue. Pass text (up to 2048 chars) — the words to be spoken. To speak in one of YOUR saved voices, pass voice with the voice NAME (or id): users speak plain language and never know ids, so resolve the name yourself (the voice tool, action "list", shows every saved voice) and never ask the user for an id. Reference voices, trained clones and preset voices are all routed correctly by kind. To match a voice instantly from a clip instead, pass reference_audio_url (a short clip) or up to 3 reference_audio_urls and address them as @Audio1, @Audio2, @Audio3 in the text for dialogue. Alternatively pass image_url to voice a scene from a picture (cannot combine with reference audio). Optional speech_rate (-50..100), pitch (-12..12), loudness (-50..100). Returns a playable audio_url, duration_seconds, and generation_id (also saved to your library).

  ConnectorNo auth

• get_ai_trafficA

  RevenueScope: revenue-first analytics for your EC siteA

  Return AI-assistant (ChatGPT/Claude/Perplexity/Gemini/Copilot) traffic for the given period. mode='referred' (default) lists landing pages that received clicked AI traffic — per page × AI source: sessions, bounce rate (%, always computed; judge reliability via the sessions count), summed revenue, and last citation date (last_cited_at is JST ISO8601 with a +09:00 offset — the same basis as the dashboard, so dates line up when compared) (default limit 100); a view GA4/GSC cannot produce (GSC is Google-search only; GA4 lacks an AI-source breakdown). mode='gaps' returns where the site leaves AI value on the table as a ranked action list: (1) missed_citation_pages — content articles with real audience but ~0 AI traffic (push for AI citation / GEO), ranked by engagement-weighted reach; (2) under_monetized_ai_pages — pages WITH AI traffic engaging below the site's own AI norm (improve landing/CTA), ranked by AI arrivals lost below benchmark (default limit 10/list); methodology fixed in code. site_id is OPTIONAL when OAuth-authenticated. Default period is the last 30 days; pass period='today'/'7d'/'90d' or a raw day count (1-365). Scope is clicked citations only.

  ConnectorNo auth

• synthesize_voiceoverA

  TestMyVibesA

  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).

  ConnectorNo auth

• search_listingsA

  SPACEXPLORATIONA

  Search commercial real estate listings. Returns paginated hits with facet counts. For AI-driven search, call interpret_search first to convert a natural-language query into structured filters, then pass those filters — and its bounds, when present — here.

  ConnectorNo auth

• get_full_personaA

  Moltline Catalog — 138 Agent Skills & PersonasA

  Load a product's complete persona definition. PREMIUM (paid plan). Typical input {"slug": "inbox-zero-assistant"} returns {"slug": ..., "persona": "<full persona text>"}. Returns the persona text alone, with no skill bodies. Use when the caller needs the product's voice and operating rules only. Not when skills are also wanted - get_full_product returns persona and every skill in one call. 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>"} (for example {"error": "unknown slug '<value>'"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  ConnectorNo auth

• generate_audioA

  mcpA

  Speech and sound: text-to-speech (default; optional voice_id, see list_resources), sound effects (model 'sfx', optional duration), multi-voice dialogue (model 'dialogue': pass the turns in the dialogue parameter, not prompt), transcription (model 'stt': pass audio_url, get text back; optional diarize/language_code), voice change (model 'voice-changer': audio_url + target voice_id) and audio cleanup (model 'voice-isolation': audio_url). Returns the audio URL (or the transcript for 'stt'). For music, use generate_music.

  Connector

  Destructive

  No auth

• verify_placesA

  MapMapA

  Check whether places (and itineraries) an AI mentioned are real, findable and physically possible. Pass structured `claims` (reliable, and the only path that supports itinerary feasibility) or free `text` (best-effort quoted-phrase extraction). Each claim resolves to exactly one of three verdicts, never a boolean: "verified" (matched a real place, with its stable id and the source/date of the evidence), "contradicted" (a specific, dated, sourced fact rules it out — currently only an itinerary leg the routing engine proves cannot be driven in the stated time, with the computed travel time as evidence), or "unverified" (no evidence either way). This tool NEVER asserts that a named real business does not exist or has closed — that would be a defamation risk with no upside; a missing match is always "unverified". Claims sharing increasing `sequence` values and both carrying `claimed_time` (ISO 8601) form itinerary legs checked for feasibility via `matrix`, catching e.g. "breakfast in Bath, 10am meeting in Edinburgh". Max 20 claims per request. The response's `summary` field is a concise plain-text digest — also returned as this tool result's text content — so clients that drop structured/non-text content blocks still see the verdicts.

  ConnectorNo auth