Skip to main content
Glama
460,086 tools. Updated 2026-08-17 17:18

"How to configure Azure Speech" matching MCP tools:

  • 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.
    Connector
  • Add a notification channel for task status events (operator accepts, uploads proof, etc.). Use methodType 'webhook' with a URL or 'email' with an address. For webhooks: use configJson to configure how Molt2Meet authenticates to YOUR endpoint. Supported authType values: 'header' (sends authValue in authHeader, default Authorization), 'query_param' (appends authQueryParam=authValue to URL), 'basic' (sends authValue as user:pass in Authorization: Basic header). Example configJson for Bearer token: {"authType":"header","authHeader":"Authorization","authValue":"Bearer my-token"}. Example for query param: {"authType":"query_param","authQueryParam":"token","authValue":"my-secret"}. Requires: API key from register_agent. Next: dispatch_physical_task with webhookUrl for per-task events, or use this for account-wide notifications.
    Connector
  • Returns the Picsart AI model catalog as plain data — renders NO widget or UI. Use this when YOU (the assistant) need catalog knowledge for your own reasoning: picking a model before `picsart_generate`, answering "which models support X", or comparing options — without pushing a model-picker widget into the conversation. When the user wants to SEE or browse models visually, use `picsart_list_models` instead (it renders the Picsart Studio picker). Same filters and result shape as `picsart_list_models`, but every item is rich by default: `id`, `name`, `mode`, `inputType`, `provider`, `badges`, `description`, plus `supportedAspectRatios`/`supportedResolutions` when the model declares an enum for that param — enough to answer "which models support 16:9" without `picsart_model_params`. Do NOT use it to fetch a single model's FULL parameter schema (use `picsart_model_params`) or estimate per-call cost (use `picsart_preflight`). Inputs (all optional): `mode` (filter to image/video/audio/text — text = LLM models that return generated text), `provider` (case-insensitive substring like "flux", "kling", "google"), `acceptsImage` (true → only models that take an image input — i2i, i2v, i2t), `acceptsVideo` (true → only models that take a video input — v2v, v2a, v2t), `acceptsAudio` (true → only models that take an audio input — a2v, sts), `inputType` (exact-match escape hatch; one of t2v/i2v/v2v/a2v/t2i/i2i/t2a/v2a/tts/sts/sfx/music/t2t/i2t/v2t), `limit` (1–100, default 20), `concise` (default false; when true items carry only id/name/mode/inputType plus the ratio/resolution fields, to save tokens). inputType codes — first letter is input modality, second is output: t2i (text→image), i2i (image→image), t2v (text→video), i2v (image→video), v2v (video→video), a2v (audio→video), t2a (text→audio), v2a (video→audio), tts (text-to-speech), sts (speech-to-speech), sfx (sound effects), music (music gen), t2t/i2t/v2t (LLM text output from text/image/video input). Example: `{ mode: "audio", inputType: "music" }` returns music-generation models. Returns `{ items, total, truncated }` — `truncated` is true when more matched than were returned; refine filters or raise `limit` (max 100) to see more. Read-only; spends no credits and works without authentication.
    Connector
  • Analyze an audio file. Modes: - transcript: Speech-to-text with word-level timestamps. Works on BOTH speech and sung lyrics — routes to a music-aware provider when content is detected as music. Use to get `words[{w,start_ms,end_ms}]` for caption timing, script editing, or word-level visual sync. Note: features.has_speech may report false on pure music while transcript still successfully extracts lyrics. - silences: list of silent regions with start/end/peak. Use for auto-trim, smart-split, or pause-aware editing. - beats: tempo (bpm) + beat positions for music tracks. Returns empty for non-music. Use to align animations/zooms to a beat. - features: duration, peak/rms/lufs loudness, speech-vs-music heuristic. Cheap dispatcher — call once to decide which other mode to use, or to get duration_ms for source_duration when calling add_audio. Source: provide exactly one of mcp_upload_id (from upload tool) or file_url (already-public URL, e.g. a find(type='music') result or Clueso CDN file). Optional time range: range_start_ms / range_end_ms crops the analysis window.
    Connector
  • WHEN: at the START of any release-note / upgrade-impact conversation -- call this BEFORE list_release_note_inputs to check whether a Client Profile already exists for the CURRENT caller's Azure DevOps org/project (auto-detected from DEVOPS_ORG_URL/DEVOPS_PROJECT MCP headers -- you don't pass anything). If found, it gives you the client's currentVersionTag, targetVersionTag, customModelIds (their own extensions AND any attached ISV/vendor models) and the latest diff snapshot in one call -- use those directly as v1/v2/customModelIds for prepare_release_note_context, no further discovery needed. If not found, fall back to list_release_note_inputs and/or save_client_profile.
    Connector
  • Sweep subdomains for dangling CNAMEs pointing to deprovisioned cloud services that could be claimed by an attacker (subdomain takeover vulnerabilities). Detects 16 provider families (AWS S3/CloudFront, Azure Front Door/CDN/Blob/App Service, GCP Cloud Storage, Heroku, GitHub Pages, Vercel, Firebase, Shopify, etc.). Use when asked if subdomains are pointing to deprovisioned cloud services. Pair with discover_subdomains to widen the candidate set — note that returns a CT sample, not a full inventory.
    Connector

Matching MCP Servers

Matching MCP Connectors

  • Use this read-only tool to check whether the Azure-native ATLAS-7 full-universe regression audit is healthy. It reads the latest audit summary artifact from Azure Blob and reports last successful run time, issuer count, operation count, failure counts, historical route status, composite route status, and artifact prefix. Parameters: none. Behavior: read-only and idempotent; it has no destructive side effects, does not run the audit, mutate data, or access raw issuer evidence. Use this before trusting historical ATLAS-7 surfaces in an agent workflow or when an operator asks whether the nightly 215-issuer audit is current.
    Connector
  • Use this read-only tool to check whether the Azure-native ATLAS-7 full-universe regression audit is healthy. It reads the latest audit summary artifact from Azure Blob and reports last successful run time, issuer count, operation count, failure counts, historical route status, composite route status, and artifact prefix. Parameters: none. Behavior: read-only and idempotent; it has no destructive side effects, does not run the audit, mutate data, or access raw issuer evidence. Use this before trusting historical ATLAS-7 surfaces in an agent workflow or when an operator asks whether the nightly 215-issuer audit is current.
    Connector
  • Surface known UNRESOLVED problems matching a free-text description: forum threads with zero replies but high views, plus open GitHub issues. Answers "is anyone else hitting this?". Canton-specific. Does NOT return fixes, solutions, config, or how-to steps, and returns nothing when no open issue matches; for "how do I fix / configure / why does X happen" use semantic_search (then get_doc) instead.
    Connector
  • Set voiceover text and/or trigger speech generation for any number of clips in a single call. Each entry chooses its own action: - "set_text" — set transcript for a clip (clip_index + text) - "generate_speech" — async TTS for a clip (clip_id; returns immediately) - "set_and_generate" — set text and kick off TTS in one entry (clip_index + clip_id + text) Entries within one call are applied in order. Returns one result object per input entry. All text-set actions land in ONE save; the TTS for generate/set_and_generate runs async per clip after. IMPORTANT — generating speech retimes the clip: when audio is generated (generate_speech / set_and_generate), the clip's duration is reset to the spoken audio length (auto-fit). Any element start/end times you authored against a planned duration then play against that new length, and element time past the audio end is cut. So size timings against the spoken length: estimate it up front with estimate_duration (or generate speech BEFORE placing time-sensitive elements), then read the clip back after generation to confirm its final duration. Concurrency: parallel-safe (conflict domain: a clip's voiceover). The server merges each clip's voiceover under a per-guide lock and preserves that clip's elements, so you can fan voiceover work out across subagents by clip — and it's safe to run alongside element edits. Two edits to the SAME clip's voiceover serialize. Do NOT run concurrently with whole-clip/whole-project mutations on the same guide (update_clips on that clip, structural clip ops, add_audio, update_project).
    Connector
  • 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).
    Connector
  • Built-in product help — ask a natural-language "how do I…" question about Fastio and get a grounded, product-aware answer (or a short clarifying question) back in one call. EXPLAIN-ONLY / ADVISORY: it returns GUIDANCE TEXT and performs NO platform action (it will not create shares, move files, or change anything) — read the guidance, then act with the other tools. Answers are grounded in Fastio's own how-to knowledge AND phrased in terms of these MCP tools — they name the concrete `<tool> action="…"` calls to make — so prefer this over guessing endpoints or burning exploratory calls. For Q&A over YOUR uploaded files (RAG) use the `ai` tool instead — `how-to` answers questions about Fastio ITSELF. FREE and requires only an authenticated user (no org, no plan gate, no billing). Call action='describe' for the full action/param reference.
    Connector
  • Health probe for the Solana Market API data backend. Call this to gate or degrade gracefully BEFORE the other get_solana_market_* tools: it does a short-timeout hit on the data service and reports whether it is reachable, so an agent can tell "market has no data" from "service is down" without failing a real query. Free discovery tool. When the market data service exposes /status, the response includes prod_key_configured, data_first_available, and an actionable note describing what to configure for full on-chain visibility.
    Connector
  • Get a verifiable CERTIFICATE over a statement on the Oasis record: aicomglobal's Ed25519 countersignature + your seal folded into the Annal hash-chain + a committed Bitcoin (OpenTimestamps) anchor, bundled with the internal proof (a best-effort Arweave mirror is included but is never the permanence guarantee). This is one of the optional agent-paid actions (the full set is at /capabilities; the sibling per-call signed action is aicom_verdict — a measured-trust verdict over a third party); YOU, the calling agent, pay a micro-fee in USDC over x402. Speaking itself is ALWAYS FREE: to stay on the permanent record WITHOUT a certificate, use aicom_reflect instead (every reflection is equally permanent). This tool returns the QUOTE only (price, asset, network, what you get, how to verify); to actually mint a certificate, get a nonce from GET /oasis/attest and settle the HTTP 402 at POST /oasis/attest. You are paying for aicomglobal's signed witness over your words — never for speech, reading, or a place in the Annal.
    Connector
  • Configure a specific **agent's** PWA branding and install experience (applies to that agent's `/s/` standalone chat pages — what gets installed to the home screen is one agent's entry page, so each agent is its own app). - `agent`: the agent name whose install branding to configure (required). - `icon_source_url`: public URL of one master image (PNG/JPG/WebP ≥192×192, ideally a square logo). The server derives the full set: browser-tab favicon(48) + install icons 192/512 + Android maskable(512). Non-square images are centre-cropped. Once set, "Add to Home Screen" installs this agent's own icon. - `install_prompt`: prompt style — `banner` (a dismissible slim bar inside the chat page, default), `card` (a card shown on first visit; more visible, more intrusive), `off` (no prompt). Android/Chrome uses the system install dialog; iOS automatically switches to a "Share → Add to Home Screen" illustrated guide. Icon/prompt params optional, settable independently. Returns the final config (icon URLs + install_prompt). Full walkthrough in the Cookbook's configure-branding.
    Connector
  • Securely register the D365 F&O environment's Application Insights / Log Analytics connection for the CURRENT session. The client secret is encrypted in memory (AES-256-GCM), never written to disk and never echoed back. Once set, appinsights_query and appinsights_diagnose_slowness use it automatically until it expires or you call appinsights_clear_connection. HOW TO GET THE VALUES: workspaceId -- the Log Analytics WORKSPACE ID (GUID, not the App Insights app id) behind the Application Insights resource the environment is linked to (D365FO: System administration > Monitoring and Telemetry parameters > Application Insights Registry tab shows the connection string; the workspace id is on that Log Analytics workspace resource's Overview blade in the Azure Portal). tenantId/clientId/clientSecret -- an Entra ID app registration granted the 'Log Analytics Reader' (or 'Monitoring Reader') role on that workspace resource (Azure Portal > workspace > Access control (IAM) > Add role assignment). Read-only -- no write access is ever needed or used. In a locked server deployment (APPINSIGHTS_LOCK_SERVER_CONFIG=true) this tool is disabled and the server's own environment credentials are used instead.
    Connector
  • Search the Qencode knowledge base (recipes + reference docs). Returns a ranked list of MCP resource URIs that match the query, each with a short summary. Call this first whenever you're unsure which recipe applies. To read the full content of any URI returned here, call `fetch_qencode_doc(uri)` next. (Some MCP clients also expose these URIs via `resources/read`, but `fetch_qencode_doc` works in every client.) Args: query: free-text search — output type, codec, DRM provider, feature name, etc. (e.g. "hls widevine ezdrm", "thumbnail sprite", "stitching", "speech to text translation") limit: max number of hits to return. Default 8. Returns: A dict with `hits`, each containing `uri`, `title`, `summary`, `score`. Pass `uri` to `fetch_qencode_doc` to read the full markdown.
    Connector
  • Surgically re-render ONE time window (1.5-8s) of an existing rendered video and splice it back on the VIDEO TRACK ONLY — the rest of the video and ALL audio stay byte-identical. Use when one beat/shot is broken ('the shot at 8 seconds glitches') and a full re-render would waste the parts that worked; bills only the replacement clip's seconds (~1/3 of a full render). Do NOT pick a window covering spoken dialogue (a video-only splice under speech breaks lip-sync) — pass speechWindows to enforce this.
    Connector
  • Fetch the full detail record for a single oral argument audio recording by its ID (the audio_id from courtlistener_search_oral_arguments). Returns the case name, panel judge IDs, duration, MP3 download URL, linked docket, and the speech-to-text transcript when transcription has completed. A long transcript is withheld and listed as a retrievable section instead; re-call with sections:["transcript"] to pull it. Every other field is present either way. The argument date is not on this record — it comes from the search result or the linked docket.
    Connector
  • Create a new Fabric participant identity (node) and receive an API key + 500 free credits. This creates a new participant identity; it is not a credential refresh tool. Do not use this if the participant already has a node. Reuse the current API key/header, use fabric_login_session when headers are unavailable, or use recovery if the API key is lost. No authentication required. Returns the node profile, API key, initial credit grant, and setup guidance. After creation, immediately persist node.id + api_key, configure recovery_public_key, and configure event_webhook_url or polling.
    Connector