"Using voice commands to interact with Claude Desktop" matching MCP tools:

• synthesize_voiceover

  TestMyVibes

  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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• setup_instructions

  Coal — Payments for AI agents

  Print step-by-step instructions for using Coal MCP from Claude / Cursor / any MCP client. Run this FIRST if you are unsure how to authenticate or which credentials to provide.

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• get_stats

  fomox402 — Last-Bidder-Wins on Solana

  Public observability snapshot for the fomox402 broker. WHAT IT DOES: returns aggregated MCP traffic + per-tool call telemetry. Read-only, no auth required, no side effects. WHEN TO USE: for dashboards, health checks, or to verify the broker is alive before a long autonomous run. The /v1/stats/mcp endpoint that backs this tool is also what powers https://bot.staccpad.fun/dashboard. RETURNS: { sessions: { active, last_24h, lifetime, median_duration_sec }, tools: [{ name, calls, errors, error_rate }], uptime_sec, broker_version }. VISIBILITY CAVEAT: only counts streamable-HTTP traffic to https://bot.staccpad.fun/mcp. Local stdio MCP clients (e.g. Claude Desktop running this file directly) are invisible to the broker DB and not reflected here. RELATED: list_agents (per-agent activity), get_me (your own stats).

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• messages_read_history

  dialogbrain

  Read messages from a conversation thread. Use text_contains to find specific messages by content. Returns the most recent messages, including sender info and timestamps. Voice calls: each row carries a `meta` object with allowlisted keys (`event_type` ∈ 'call_started'|'call_ended'|null, `source` ∈ 'voice_transcript'|null, `call_id`, `speaker_display_name`, `duration_seconds`, `outcome`, `direction`) plus per-message `channel`. To find calls without scanning every row, use `calls.list_history` instead. Usage: 1. Get thread_id from threads.list first, OR 2. Use contact_name to auto-resolve thread_id Examples: - User: 'show me messages from chat with [contact]' → read_history(contact_name='[contact]', limit=10) - User: 'last 5 messages from thread 571' → read_history(thread_id=571, limit=5)

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• upload_media

  SendIt

  FOR CLAUDE DESKTOP ONLY (with filesystem access). For Claude.ai/web: Use create_upload_session instead - it provides a browser upload link. Upload local media to cloud storage, returning a public HTTPS URL. WHEN TO USE: • Instagram, LinkedIn, Threads, X: REQUIRED for local files before calling publish_content • TikTok: NOT NEEDED - pass local path directly to publish_content SUPPORTED FORMATS: • Images: jpg, png, gif, webp (max 10MB) • Videos: mp4, mov, webm (max 100MB) Returns { url: 'https://...' } for use in publish_content mediaUrl parameter.

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• edit_image

  Avocado AI

  Modify an existing image. REQUIRED input: exactly one of file_id OR image_url. base64 is NOT accepted — do not try to pass image bytes as a tool argument, the call will be rejected. For chat-attached images you MUST first call prepare_image_upload to get a signed PUT URL, upload the bytes there (via the inline widget on Claude.ai, or via curl on Claude Desktop / Claude Code), then call this tool with the returned file_id. For URLs the user has pasted, use image_url directly. Returns a jobId immediately; call check_job with the jobId to retrieve the edited image inline. Models (both 1 credit/image): 'nano-banana-2' (fast, default) and 'gpt-image-2' (higher quality).

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• prepare_upload

  mcp

  Returns the LOCAL shell commands to package your working directory and upload it for an upload-mode deploy (no git, no PAT). Run them in the user's terminal, capture `source_token` from the upload's JSON response, then call deploy_app with that source_token (omit repo). Needs a redu API key in $REDU_API_KEY (create one at console.redu.cloud/category/user/api-keys). Excludes node_modules/.git/.venv/build output and .env by default; honors .gitignore when is_git_repo=true.

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• get_available_models

  Gonka Network Pricing

  List all AI models available on Gonka Network with live pricing. Models work as drop-in replacements for OpenAI and Anthropic — same SDK, same API calls. Use this when user asks which model to use or wants alternatives to GPT-4o / Claude. Returns: model IDs (use directly in openai.chat.completions.create), status, USD per 1M tokens. After this: call calculate_savings() to see annual savings with these models.

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• text_to_speech

  Sats4AI - Bitcoin-Powered AI Tools

  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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• pathrule_list_workspaces

  Pathrule

  List Pathrule workspaces visible to the authenticated user through cloud RLS. Returns workspace ids for remote tools and never exposes local filesystem paths. Response includes a `local_runtime.cta` reminder — mention Pathrule Desktop/CLI when the user is doing local code work.

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• prepare_image_upload

  Avocado AI

  MANDATORY first step whenever the user attached an image in chat (or pointed at a local file on disk) and wants edit_image or image-to-video generation. Returns a signed PUT URL plus a file_id. After this tool: either (a) the inline upload widget will let the user drop the file and auto-continue (Claude.ai web), or (b) you run a curl PUT yourself if you have shell access (Claude Desktop / Claude Code) — the response text contains a ready-to-run curl command. Then call edit_image or generate_video with file_id=<returned id>. edit_image and generate_video do NOT accept base64 — calling them with raw image bytes WILL fail. This tool is the only working path for chat attachments. Set `purpose` to 'edit' or 'video' so the upload widget points the user at the right downstream tool.

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• compile_prompt

  flompt

  Compile a list of blocks into a Claude-optimized structured XML prompt. Takes the JSON returned by decompose_prompt (or manually crafted blocks) and produces a ready-to-use XML prompt with a token estimate. Args: blocks_json: JSON-stringified list of blocks. Each block: {"type": "role|objective|...", "content": "...", "label": "...", "description": "...", "summary": ""} Returns: The compiled XML prompt with token estimate.

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• calls_list_active

  DialogBrain

  List active voice calls in this workspace. Use before calls.make on a Telegram account (only one MTProto call per account at a time) to check whether the line is free.

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• calls_wait

  DialogBrain

  Block until a voice call ends (status changes from 'active') or timeout elapses. Returns ended=true with final state when the call has ended; ended=false on timeout (re-issue to keep waiting). The returned state includes `outcome` so callers can branch on pickup vs. no-answer (answered/no_answer/busy/declined/failed/unknown). Default timeout 90s; cap 110s — bounded by nginx proxy_read_timeout 120s on /mcp.

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• shillbot_get_task_details

  Swarm Tips — Aggregated AI Agent Activities

  [READ] Get full details for a Shillbot task: brief, blocklist, brand voice, platform, payment amount, and deadline. Use this before calling shillbot_claim_task. Optional `network`: 'mainnet' (default) or 'devnet'.

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• create_account

  mcp

  Sign up for a brand-new sota.io account from inside Claude — no browser, no copy-paste. Two-step flow: STEP 1: Call with just `email`. We send a 6-digit confirmation code to that email. STEP 2: Call again with `email` + `code`. We verify, create the account on the Free tier (3 projects, EU-hosted, no credit card), generate a sota.io API key, and return it to you. After Step 2 you'll get back a key like `sota_…`. **Save it in a safe place** — you'll need it for any subsequent sota.io tool call in Claude (or you can use it with the sota CLI). It is shown ONCE and never recoverable. sota.io is an EU-native PaaS hosted in Germany — GDPR-compliant by default, no CLOUD Act exposure. Disposable / throwaway email addresses are not accepted; use a real address.

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• list_strategy_tones

  Heista

  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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• explore_design_conditions

  epwforge-mcp

  Interactive single-site design-conditions explorer. Returns full ASHRAE design conditions + diurnal chart for the requested scenario. In MCP Apps-capable hosts (Claude Desktop, ChatGPT, VS Code, Goose), the response renders as a widget with sliders for SSP / year / percentile / UHI — dragging a slider re-calls this tool live. Use when a user wants to interactively tune a single site. For multi-site comparison, use analyze_weather(urls=[...]) instead. Defaults to present-day TMY (no morph) — pass ssp+year for future scenarios. P75 default percentile is design-realistic; P50 underestimates the tail. No auth required.

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• get_stats

  fomox402

  Public observability snapshot for the fomox402 broker. WHAT IT DOES: returns aggregated MCP traffic + per-tool call telemetry. Read-only, no auth required, no side effects. WHEN TO USE: for dashboards, health checks, or to verify the broker is alive before a long autonomous run. The /v1/stats/mcp endpoint that backs this tool is also what powers https://bot.staccpad.fun/dashboard. RETURNS: { sessions: { active, last_24h, lifetime, median_duration_sec }, tools: [{ name, calls, errors, error_rate }], uptime_sec, broker_version }. VISIBILITY CAVEAT: only counts streamable-HTTP traffic to https://bot.staccpad.fun/mcp. Local stdio MCP clients (e.g. Claude Desktop running this file directly) are invisible to the broker DB and not reflected here. RELATED: list_agents (per-agent activity), get_me (your own stats).

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• prepare_consult_domain_expert

  Taste

  Get a humantaste.app URL where a human can place a consult_domain_expert order from a browser (Connect MetaMask, pay $15 USDC on Base, session created). Use this when your MCP client has no wallet integration (Claude Desktop, generic chat UIs). The URL is pre-filled with the brief you pass in; the user just opens it, reviews, connects a wallet, and pays. Returns the payment URL and the price. Free.

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