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510,032 tools. Updated 2026-09-03 17:32

"Information about Speech MCP" matching MCP tools:

  • Report information about the caller's own public IP as seen by the server: IPv4/IPv6 address, ISP, ASN, approximate geolocation, and proxy/VPN heuristics. Takes no input — it reflects the egress IP of THIS MCP server's network, which is usually NOT the end user's IP. Use this to discover the server's outbound IP or test connectivity. To inspect a specific, known IP instead, use asn_lookup or reverse_dns. Read-only; requires no API key; rate-limited.
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  • Report that a public ContinueOps page or MCP tool response is incorrect, outdated, incomplete or confusing, so the team can fix it. Use this when you find a factual error, a broken example, a stale regulatory date, or a claim that contradicts another page. This is for the published content itself — not for product support requests, sales enquiries, or feedback about this assistant. Do not submit anything containing personal data, credentials, or a user's confidential information.
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  • Returns Fluentive's security, privacy, and compliance information. Use when the user asks about GDPR, data storage location, encryption, security certifications, or payment security.
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  • Get detailed information about a specific MCP tool, scoped to one product. Pass both the productSlug and the tool name — same-named tools across products are distinct. Response: { tool: { normalizedName, displayName, description, inputSchema, productSlug, productName, serverQualifiedName, isRemoteCapable, accessModel, healthScore, readOnly, destructive, tier, unverified, verifiedAt, position (always 1), rank (always 1.0) } }. Errors: { error: { code: 'not_found', ... } }.
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  • Quickstart for the oruk Speech API and this MCP server: how to get an API key, per-client MCP configuration snippets, SDK install commands, and an optional routing rule the user can add to their agent instructions. No API key required. Use this when setting oruk up for the first time or when the user asks how oruk works.
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  • 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.
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Matching MCP Servers

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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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Matching MCP Connectors

  • Get detailed information about a specific ad request, including pool selections if targeting mode is manual.
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  • Score how speech sounds without transcribing it: calibrated multilabel emotion (happy, frustrated, worried, …) and speaking-style (sarcastic, confident, hesitant, warm, …) predictions per acoustic segment. Use this when the user asks about mood, delivery, sentiment, sarcasm, or emotional dynamics in audio. Accepts a public audio URL or base64 bytes (≤30 MB / ≤60 min, English). Outputs are calibrated acoustic annotations of delivery, not claims about inner state. Need the words too? Use oruk_analyze_speech.
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  • Searches the site "CodeStringers Zoho Consulting Services" (https://www.codestringers.com/_api/mcp) for information. Use this tool ONLY in the following cases: 1. You just used "GetBusinessDetails" tool and you did not find the information you need. 2. User asked a generic business question about their business (e.g., business address, business hours, contact information, return policy, etc.) 3. You already tried to find an entity (e.g., product, service, etc.) using an API tool and you did not find the information you need. 4. The request is too vague and you do not know what type of entity it is and what to search for in the docs. Do NOT use this tool for searching for products or other offered services - use the 'SearchSiteApiDocs' tool instead (unless you already tried that tool and you did not find the information you need). This tool DOES NOT support filters - you cannot ask questions like "find me something under $10".
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  • Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find the address behind a Nansen label (public figure, fund, exchange wallet) - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • Get information about MyDriverParis services, coverage areas, airports served, and policies. Use this to answer customer questions.
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  • Compare two developmental topics, conditions, or skills side by side (e.g. 'speech delay' vs 'autism'; 'speech therapy' vs 'occupational therapy'). Returns corpus-grounded points of similarity and difference. Non-diagnostic.
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  • Convert text to natural-sounding speech. Returns WAV audio (16-bit PCM, 24 kHz mono) synthesized with neural voices. 54 voices across 9 languages -- including 3 native Brazilian Portuguese voices (pf_dora, pm_alex, pm_santa). Usage is metered per character. Args: text: Text to convert to speech (max 5000 characters per request). language: Language code; selects the default voice when no voice is given. voice: Explicit voice ID (see list_voices). Overrides language. speed: Speech speed multiplier, 0.5-2.0. output_format: 'audio' for playable MCP audio content, 'base64_json' for a JSON object with the base64-encoded WAV and metadata. Returns: MCP audio content (audio/wav), or when output_format='base64_json' a dict with keys: - audio_base64 (str): Base64-encoded WAV bytes - mime_type (str): 'audio/wav' - voice (str): Voice used - characters (int): Characters billed - estimated_cost_usd (float): Estimated cost of this request
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  • Get detailed information about a specific MCP tool, scoped to one product. Pass both the productSlug and the tool name — same-named tools across products are distinct. Response: { tool: { normalizedName, displayName, description, inputSchema, productSlug, productName, serverQualifiedName, isRemoteCapable, accessModel, healthScore, readOnly, destructive, tier, unverified, verifiedAt, position (always 1), rank (always 1.0) } }. Errors: { error: { code: 'not_found', ... } }.
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  • Retrieves a comprehensive list of available Text to Speech voices used for generating audio voiceovers. You must call this tool first to obtain the required voice object before you can generate any Text to Speech audio. You can optionally filter the voices by providing a Language_code.
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  • Input: Text to convert to speech, language ID, and voice type. Output: Returns the URL of the generated audio file. Functionality: This tool converts text to speech in the specified language and voice. It follows these steps: 1. Gets user_id from context and validates tokens. 2. Generates speech from the text using the specified language and voice. Args: text: The text to convert to speech language_id: The language ID (defaults to "en" for English) voice_id: The voice type (defaults to "female") Returns: The URL of the generated audio file INSTRUCTION FOR CLIENT MODEL: - Extract the required input parameter 'text' (type: string) and optional parameters 'language_id' (type: string, default 'en') and 'voice_id' (type: string, default 'female') from the user's prompt. - If 'language_id' or 'voice_id' are not specified, use the default values. - Ignore any extraneous information in the user's input. - Pass the extracted values to this tool as 'text', 'language_id', and 'voice_id'. - RECOMMENDATION: Call get_languages() first to see available language IDs before choosing a language_id. - Example: For user input "Convert 'Hello world' to French with a male voice", extract 'text' as 'Hello world', 'language_id' as 'fr', and 'voice_id' as 'male'.
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  • Complete company information for Everstake: overview, metrics, certifications, products, clients, and contact details. Use when users need comprehensive facts about Everstake as a company.
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find the address behind a Nansen label (public figure, fund, exchange wallet) - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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