"How to Enable Voice Typing on My Computer" matching MCP tools:

• 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

• position_limitsA

  ensotradeA

  Position-limit table for a universe of crypto perps: the largest position in each coin that could be exited inside 24 hours at a chosen participation rate, sorted TIGHTEST-FIRST. Use for "what position limit should I set on X", "which of my positions is too big to get out of", "how much SOL can I safely hold", "rank my coins by exit risk". `coins` = optional comma-separated list (default: the liquid crypto perp universe by volume). `participation` = the fraction of daily volume you are willing to be, default 0.10 (10%). `limit` = how many coins to return, max 40. IMPORTANT when quoting these: they are computed on REPORTED venue volume, which is an UPPER BOUND on genuinely tradable capacity — say so, and treat the limits as optimistic. No effective-volume adjustment is applied; that was built, measured and cut because arbitrage equalises price travel across venues, collapsing volume-per-bp into a size proxy. Requires an EnsoTrade Pro API key.

  ConnectorNo auth

• get_quantum_exposureA

  mcpA

  Call this when the user asks how much Bitcoin is vulnerable to a quantum computer, about quantum-exposed supply, P2PK coins, or Satoshi-era exposure. Returns the latest daily measurement from ByKaranteli's own Bitcoin Core node: exposed BTC and its share of held value and UTXO count, composition by script family, dormancy cohorts, the dormant-P2PK watch set, and provenance hashes (base_height, base_hash, txoutset_hash) so any figure can be re-verified against any node.

  ConnectorNo auth

• analyze_writingA

  Moltline Creator StudioA

  Analyze a draft for readability, passive voice, cliches, and hedging. FREE. Also measures sentence variety and keyword density, and produces a prioritized fix list. Typical input {"text": "<your draft>"} returns {"readability_grade": 9.2, "passive_voice_count": N, "cliches_found": [...], "hedging_words": [...], "sentence_count": N, "avg_words_per_sentence": N, "top_repeated_words": [...], "priority_fixes": ["..."]}. Use on body prose to find readability and style problems. Not for ranking titles (headline_analyzer) and not for platform limits (social_length_check). 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": "empty text"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  ConnectorNo auth

• get_auditor_personaA

  Moltline Agent Governance & MCP AuditorA

  Load the Governance Auditor persona for consistent fleet audits. PREMIUM (license). The persona is methodical, evidence-driven, and allergic to 'it's probably fine'. Takes no arguments. Returns {"persona": ..., "identity": ..., "rules": ["...", ...], "opening_move": "..."} ready to adopt as a system prompt. Use to keep repeated audits consistent in voice and rigor. Not for running an audit - the audit tools do that. 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

• 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_free_skillA

  Moltline Creator StudioA

  Load a product's free gateway skill with its complete instructions. FREE. Typical input {"slug": "brand-voice"} returns {"slug": "brand-voice", "skill": "<skill name>", "instructions": "<full skill text>"}. Returns exactly one skill - the product's free gateway skill - chosen automatically from the slug, with no plan required. Use when the caller wants usable instructions immediately. Not for the product's other skills: those are named and need get_full_skill with a skill_name, which requires a paid plan. 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>'. Use list_products."}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  ConnectorNo auth

• verify_rewriteA

  Moltline HumanizerA

  Verify a rewrite actually improved: score delta, meaning check, voice distance. PREMIUM (license). Compares reads-human score before/after, a meaning-preservation proxy, and (with a fingerprint) numeric distance to the target voice. Typical input {"original": "<draft>", "rewrite": "<edited draft>"} returns {"score_before": N, "score_after": N, "score_delta": N, "content_word_retention_pct": N, "remaining_tells": [...], "verdict": "Improved — ship it" | "Marginal — ..."}. Use only when both the before and the after text are available. Not for scoring a single draft (ai_tell_scan). 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": "both texts must be non-empty"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  ConnectorNo auth

• check_quotaA

  Agent BrokerA

  Returns the caller's current quota state: how many operations have been used today, how many remain, the daily limit, the tier (free / credits / unlimited), and when the quota resets. Read-only and free. Works with any valid X-Agent-Identity token; returns tier='anonymous' for keyless callers with the anonymous daily limits. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "How many API calls do I have left today?" -> call check_quota({}) user: "Check my quota before sending messages" -> call check_quota({}) user: "When does my rate limit reset?" -> call check_quota({}) WHEN TO USE: Call at session start or before a batch of write operations to confirm you have enough remaining quota. Use when a user asks how many API calls they have left today. Also useful after a rate_limited error to understand when the quota resets. WHEN NOT TO USE: Do not call on every single tool invocation — quota is also injected into every write-tool response in the 'quota' field. Only call proactively when you need the current state without performing an operation. COST: free - no key required LATENCY: ~5ms

  ConnectorNo auth

• preview_costA

  Sanctions ScreeningA

  Return an expected cost estimate, latency estimate, and success-probability estimate for a proposed call before execution. Returns the exact price when it is fixed, and a min/max range when the cost depends on channel or outcome. It does not promise an accuracy percentage - check cost_range. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "How much will this SMS cost me?" -> call preview_cost({"operation": "send_message", "params": {"preferred_channel": "sms"}}) user: "Estimate the cost of booking via voice fallback" -> call preview_cost({"operation": "schedule_appointment", "params": {"preferred_channel": "voice"}}) WHEN TO USE: Use before any operation when the agent is operating under a budget constraint and needs to decide whether to proceed. WHEN NOT TO USE: Do not use in a hot loop — cache the result for at least 60 seconds if repeating the same preview. COST: free - no key required LATENCY: ~100ms

  ConnectorNo auth

• preview_costA

  SMS and WhatsApp MessagingA

  Return an expected cost estimate, latency estimate, and success-probability estimate for a proposed call before execution. Returns the exact price when it is fixed, and a min/max range when the cost depends on channel or outcome. It does not promise an accuracy percentage - check cost_range. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "How much will this SMS cost me?" -> call preview_cost({"operation": "send_message", "params": {"preferred_channel": "sms"}}) user: "Estimate the cost of booking via voice fallback" -> call preview_cost({"operation": "schedule_appointment", "params": {"preferred_channel": "voice"}}) WHEN TO USE: Use before any operation when the agent is operating under a budget constraint and needs to decide whether to proceed. WHEN NOT TO USE: Do not use in a hot loop — cache the result for at least 60 seconds if repeating the same preview. COST: free - no key required LATENCY: ~100ms

  ConnectorNo auth

• preview_costA

  Verify a CompanyA

  Return an expected cost estimate, latency estimate, and success-probability estimate for a proposed call before execution. Returns the exact price when it is fixed, and a min/max range when the cost depends on channel or outcome. It does not promise an accuracy percentage - check cost_range. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "How much will this SMS cost me?" -> call preview_cost({"operation": "send_message", "params": {"preferred_channel": "sms"}}) user: "Estimate the cost of booking via voice fallback" -> call preview_cost({"operation": "schedule_appointment", "params": {"preferred_channel": "voice"}}) WHEN TO USE: Use before any operation when the agent is operating under a budget constraint and needs to decide whether to proceed. WHEN NOT TO USE: Do not use in a hot loop — cache the result for at least 60 seconds if repeating the same preview. COST: free - no key required LATENCY: ~100ms

  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

• voiceA

  switchA

  Your saved voices — one tool for the whole voice library. Users speak plain language and never know ids: resolve every voice by NAME yourself (call action "list" first if unsure) and never ask the user for an id. action="list" returns every saved voice with voice_id, name, kind and ready — kind "reference" is an instant voice match saved from a clip and kind "clone" is a trained voice (both speak through generate_audio: pass the NAME as its voice param); kind "avatar" voices drive talking_avatar_video. action="create" saves a NEW reference voice from a clip: voice_name plus audio_url (e.g. the url upload_media returned) or audio_base64 (+ format) — free, ready instantly. action="rename" renames a saved voice (voice_id takes the id OR the current name, new_name is the new name). action="clone" registers a voice for talking_avatar_video from audio_sample_url + voice_name (charged 2 credits). action="delete" removes a voice by voice_id or name.

  ConnectorNo auth

• niche_brand_profile_setA

  Niche — Editorial IntelligenceA

  Set or update the persisted brand profile for a brand. The profile is a structured JSON document applied across every pipeline stage: voice rules, banned terms, canonical vocabulary, framing allowlist, channel config, compliance disclosures, and verifier overrides. Use it to persist a profile derived from a repo or docs so future runs inherit the rules, or to update voice rules and banned terms before the next run. Required sections: `identity` and `voice` (a profile with no voice falls back to generic drafts). A re-set that omits voice is accepted with a default voice stub rather than rejected. Validation: tiered lints (error / warn / info). 'error' lints reject the set; 'warn' lints accept with a note. The response includes `lints[]`. `conflicts[]` lists fields locked by the brand kit, which takes precedence; those profile values are not stored. brand_id is unique per user; re-setting the same brand_id replaces the prior profile.

  ConnectorNo auth

• createVoiceA

  Ludo AI Game AssetsA

  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. The job result is 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 `GET /assets/audio/results`. Requires an API key (user scope). Returns 202 with a job id immediately; poll `getApiJob` (pass `wait: 30`) until status is succeeded, then read its `result` field, which is exactly the response documented for this operation. Each account may have up to 50 generations queued or running at once; beyond that submissions return 429 (PENDING_JOBS_LIMIT) - wait for jobs to finish. Credits: This endpoint consumes 1 credits per call.

  ConnectorNo auth

• account.quotaA

  DocImprintA

  Get current credit balance and plan details for your API key. Free — no credits consumed. Check this before running credit-consuming operations (extract, summarize, etc.) to avoid QUOTA_EXCEEDED errors. Returns plan tier, billing period, and usage breakdown. Returns: { plan_id, billing_period (YYYY-MM), credits_used, credits_limit, credits_remaining, status: "active"|"suspended" } Example prompts: - "How many credits do I have left this month?" - "Check my current quota and plan status." - "Am I going to hit my credit limit soon?"

  ConnectorNo auth

• account.quotaA

  apiA

  Get current credit balance and plan details for your API key. Free — no credits consumed. Check this before running credit-consuming operations (extract, summarize, etc.) to avoid QUOTA_EXCEEDED errors. Returns plan tier, billing period, and usage breakdown. Returns: { plan_id, billing_period (YYYY-MM), credits_used, credits_limit, credits_remaining, status: "active"|"suspended" } Example prompts: - "How many credits do I have left this month?" - "Check my current quota and plan status." - "Am I going to hit my credit limit soon?"

  ConnectorNo auth

• get_reviewer_personaA

  Moltline Code ReviewA

  Load the Senior Reviewer persona for consistent, high-signal reviews. PREMIUM (license). The persona is a reviewing voice that is skeptical, specific, and kind — demands evidence over vibes and blocks only on real risk. Takes no arguments. Returns {"persona": ..., "identity": ..., "rules": ["...", ...], "opening_move": "..."} ready to adopt as a system prompt. Use to keep repeated reviews consistent in voice and rigor. Not for running a review - the scan tools do that. 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

• 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

• check_quotaA

  Agent BrokerA

  Returns the caller's current quota state: how many operations have been used today, how many remain, the daily limit, the tier (free / credits / unlimited), and when the quota resets. Read-only and free. Works with any valid X-Agent-Identity token; returns tier='anonymous' for keyless callers with the anonymous daily limits. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "How many API calls do I have left today?" -> call check_quota({}) user: "Check my quota before sending messages" -> call check_quota({}) user: "When does my rate limit reset?" -> call check_quota({}) WHEN TO USE: Call at session start or before a batch of write operations to confirm you have enough remaining quota. Use when a user asks how many API calls they have left today. Also useful after a rate_limited error to understand when the quota resets. WHEN NOT TO USE: Do not call on every single tool invocation — quota is also injected into every write-tool response in the 'quota' field. Only call proactively when you need the current state without performing an operation. COST: free - no key required LATENCY: ~5ms

  ConnectorNo auth