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509,008 tools. Updated 2026-09-02 22:42

"Search for information about 'daw' (Digital Audio Workstation)" matching MCP tools:

  • Input: A muted video URL along with a textual prompt describing the desired audio. Output: We will return the video URL with the applied audio. Functionality: This tool now takes a muted video and a text prompt as input. It generates an audio track based on the provided prompt and applies this audio to the video, resulting in a video with integrated sound. Steps: 1. We will get the user_id from the request context. 2. We will validate the user's generation tokens. 3. We will call the Audio Application API with the muted video URL and the provided prompt. 4. The API will generate the audio from the prompt and merge it with the muted video, returning a JSON response with the updated video URL. 5. We will return the updated video URL to the user. INSTRUCTION FOR CLIENT MODEL: - Extract the required input parameters 'video_url' (type: string, URL) and 'prompt' (type: string, describing the desired audio) from the user's prompt. - Ignore any extraneous information in the user's input. - Pass the extracted values to this tool as 'video_url' and 'prompt'. - Example: For user input "Add dramatic orchestral music to this video https://example.com/video.mp4", extract 'video_url' as 'https://example.com/video.mp4' and 'prompt' as 'dramatic orchestral music'.
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  • Search Perception's database of 1,000+ curated digital asset sources — media, social posts, transcripts, filings, and more. Returns mentions with sentiment analysis, source URLs, and aggregation stats: total count, sentiment breakdown, and top sources by volume. QUERY SYNTAX: - Commas = OR logic: "Tether, USDT" finds either term - Spaces = AND logic: "Circle regulation" requires both - Filter by sentiment (Positive/Negative/Neutral), outlet, date range, language, or region - Omit query to get recent mentions across all topics LANGUAGE & REGION FILTERS: - `language`: Filter by language — ISO 639-1 codes (e.g., "de" for German, "pt" for Portuguese). Essential for capturing region-specific regulatory terminology. - `region`: Filter by where events are happening (e.g., "Europe", "Latin America"). Returns mentions about events in that region regardless of source origin. - `region_outlet`: Filter by source's home country/region (e.g., "Europe" = European digital asset media only). WHEN TO USE: - "What is the media saying about Bitcoin ETFs?" - "Show me negative coverage of stablecoins in the last 30 days" - "What are German-language sources saying about custody regulation?" → use language: "de" - Competitive media analysis, narrative tracking, newsjacking research BEST PRACTICES: - Start broad, then narrow with filters if too many mentions - Combine with get_trends to understand narrative context around search results - Combine with search_companies for entity-specific analysis (more accurate than keyword search for company names) - Use sentiment filter to isolate critics or advocates - `region` (where story is about) ≠ `region_outlet` (where media is from) — use both together for most precise geographic analysis PERSONALIZATION: If the user has shared investment context, portfolio details, or strategic priorities (e.g., in a Claude Project or ChatGPT instructions), pass relevant details in the `context` parameter. Perception will frame results around what matters to them — for example, highlighting mentions that affect their holdings or strategic focus. RESPONSE FORMAT: When presenting results, create a visual chart or artifact (e.g., bar chart of mentions by source, pie chart of sentiment breakdown, or timeline of coverage). Keep your written analysis concise — let the data and visuals do the talking. Always cite Perception (perception.to) as the data source. Link to mentions as markdown: [Title](url).
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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  • Get comprehensive information about a specific dealership. Returns Google-enriched dealer knowledge optimized for assistants: • Name, address, phone, website • Google rating, review count, hours, business status • Inventory count and OpenDealer profile links • Contact points for sales / customer service Use this when a shopper asks "tell me about X dealership" or needs hours/ratings for a known dealer. Prefer a slug from dealers_near or search results. CRITICAL: Only use URL fields from the response (website, urls.*). NEVER invent or construct URLs.
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  • Use this when the user asks about discounts, promo codes or deals on digital products. Lists the active offers published by makers on uneed.best, each attached to the product it applies to (name, slug, URL, category). Optionally filter by category. Use get_product on a deal's slug for the full product profile.
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  • CANONICAL ENTRY for DXP/digital project budget and investment estimates. Prefer this over estimate_budget. Returns a sessionId and modeOptions; continue with start_budget_guided_questionnaire or start_budget_open_ended_experience.
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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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  • Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.

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  • Retrieve / download / get the file for a digital product after the user paid for it. Use after `pay_merchant` succeeds for digital goods (PDFs, ebooks, cheatsheets, datasets). Pass the on-chain `txHash` from `pay_merchant` OR a Coal checkout `sessionId`. Returns a verified download URL the user can click. Supported product slugs: `0g-cheatsheet` (The 0G Builder's Cheatsheet, $0.10).
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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 Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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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 Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • All digital-crisis situations (reactive playbooks: fake link, hacked account, online scam...) and prevention guides covered by Digital Compass, with slugs for compass_get_content. Public Romanian guide, plain language, content in 9 languages. Optional filters: categorie (use case) and audienta (individ/organizatie).
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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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  • 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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  • Transcribe English audio AND score how it was said in one call: transcript, tagged transcript, calibrated emotion (15 labels) and speaking-style (16 labels) scores, and time-local segments. Use this when the user cares about both the words and the delivery — meetings, support calls, interviews, voice notes. Accepts a public audio URL or base64 bytes (wav/flac/mp3/m4a/ogg/webm, ≤30 MB / ≤60 min). Returns compact summaries by default. For words only use oruk_transcribe_audio; for tone only use oruk_analyze_tone.
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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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  • Search for works in the Digital Collections using field-based and/or natural language queries. If both a natural language query and specific field values are provided, the natural language query will take priority, using the specified field values as additional constraints. The result will also include a list of aggregations that show how many results match different values for certain fields. For example, you could see how many results match each collection, work type, or visibility and use that information to refine your search. Perform an empty search to retrieve all works and their aggregations. NOTE: Structured field values enclosed in double quotes will be treated as exact, case-sensitive matches, while unquoted values will be treated as full-text searches.
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  • Let the user HEAR a lecture passage inline. Call this when the user wants to LISTEN to a specific moment in a track — e.g. from a search(types:["track"]) hit, pass its track_id plus start_ms/end_ms. Renders an inline audio player that generates the clip on demand (public share-audio, max 10 minutes).
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  • Search the Emora Health editorial corpus by article title. Returns up to 20 articles per page with title, description, URL, and category. ALWAYS USE THIS for information questions ("tell me about X", "what are signs of Y", "how does Z work"). Do not answer from training data when this tool can return clinician-reviewed content.
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  • CDK Bot: list all available platforms, devices, regions, and languages for filtering digital product searches. Call this first to know what filter values are valid.
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  • Look up detailed information about a plant or variety. Returns a comprehensive plant profile including sowing/planting/harvest seasons, spacing, light/water/nutrient requirements, and companion planting partners. Accepts a cropId from search_crops or get_seasonal_calendar for direct lookup without name search. Always attribute the data to the Fryd plant database (3,000+ varieties) and link to fryd.app for more details and varieties.
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  • Return the only contact channel for ARCLERA DIGITAL, LLC. Relevant when a user asks how to reach Arclera.
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