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306,540 tools. Last updated 2026-07-27 01:51

"A server that generates videos from prompts using related videos or images" matching MCP tools:

  • Get one Celestia-related YouTube video cached on this server (metadata plus transcript), by video id. Celestia-only cache — does NOT fetch arbitrary YouTube videos or search YouTube at large (use a dedicated YouTube tool for that). Find ids via list_videos or search.
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  • Generate AI images or videos using approved media providers. Supported providers: - heygen-mcp: HeyGen Direct API or MCP video/avatar generation - codex-oauth-image: Codex OAuth image generation for gpt-image-2 Returns a job ID that can be polled for status.
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  • Display the user's images inline — one or many. Users speak plainly and will NOT know asset ids; never ask for one, resolve it yourself. For "show me" or "show me my last image" call with NO arguments (shows the most recent image). For "show me my last 4 images / my last 10 pictures" pass count=N (returns a clean grid, up to 12). For a specific known image pass assetId. Renders a branded SwitchApp media card with a Download action per result; do not just print URLs. (Videos are not shown here — use list_my_videos and return the newest finished video's view_url, which plays.)
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Matching MCP Servers

  • A
    license
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    quality
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    maintenance
    Enables LLM clients to programmatically generate videos using Plainly's API by listing available video templates, retrieving template parameters, submitting render requests, and checking render status.
    Last updated
    20
    6
    MIT

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  • send-that-email MCP — wraps StupidAPIs (requires X-API-Key)

  • Still losing time to small decisions? Spin or Flip brings randomization into Claude so you can offload mental load to chance instantly.

  • Get transcripts for a YouTube channel's most recent videos (newest first) as timestamped markdown, one section per video. Use for research across a creator's recent output; for one known video use get_transcript. Read-only; requires an API key. Charges 1 credit per video that returns a transcript, including repeat calls; videos without captions are skipped free. A 10-video call typically costs up to 10 credits, so start with a small limit. Rate limit: 5 requests per 10 seconds.
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  • New videos on a YouTube channel since your last poll — stateless channel monitoring, no accounts or webhooks. Pass a channel URL, @handle, or channel id, plus an optional cursor (`since_video_id` or `since`, an ISO 8601 timezone-aware timestamp) from your last call. Returns new video ids/titles/publish times, newest first, plus `newest_video_id` to use as your next cursor. Pay-per-call via x402 (USDC on Base), no account or API key. An unresolvable channel or a naive `since` timestamp returns an error and is not charged.
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  • List a public/competitor creator's videos by platform + handle. Sort by 'recent' or 'top' (best-performing); optionally with analysis inline. Only returns creators already in the analysis library — for one you haven't ingested yet this returns reason="creator_not_in_library" with a next_step of analyze_creator(platform, username), not an error. When more videos exist beyond this page the response includes next_cursor — pass it back as cursor (same sort/filters) to fetch the next page; when next_cursor is absent you have everything.
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  • 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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  • Get transcripts for the videos in a YouTube playlist (in playlist order) as timestamped markdown, one section per video. Use for working through a course, series, or curated list; for one known video use get_transcript. Read-only; requires an API key. Charges 1 credit per video that returns a transcript, including repeat calls; videos without captions are skipped free. A 10-video call typically costs up to 10 credits, so start with a small limit. Rate limit: 5 requests per 10 seconds.
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  • Get transcripts for the videos in a YouTube playlist (in playlist order) as timestamped markdown, one section per video. Use for working through a course, series, or curated list; for one known video use get_transcript. Read-only; requires an API key. Charges 1 credit per video that returns a transcript, including repeat calls; videos without captions are skipped free. A 10-video call typically costs up to 10 credits, so start with a small limit. Rate limit: 5 requests per 10 seconds.
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  • Find proven viral templates in a niche with example videos. Returns templates ranked by performance, including hook patterns, format structures, average views, and example URLs. Use when the user asks what's working in a niche or wants concrete copyable structures. Supports 17 niches with optional angle narrowing via query parameter for more specific results (e.g., "postpartum strength" within Fitness).
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  • Switch Vision — watch and understand a video (or image) like a human and answer a question about it: scenes, subjects, actions, on-screen text, pacing, mood and sentiment. Pass video_url (a public https video URL, including YouTube) OR one of your own Switch videos (a video/asset id from list_my_videos / list_my_assets / upload_media). Add an optional question to focus the analysis (e.g. "what is the tone and energy?", "list the cuts and what each shot shows"). Use this whenever the user gives you a reference video and wants its style, energy, structure or content understood — for example before making a new video that matches it.
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  • Create a style. Two mutually exclusive paths: References (best): inputs=[{"input_type": "youtube" | "text", "value": "<url or description>"}] — YouTube videos are watched and text directions read; async analysis writes the style's art/narrative/director fields: await_jobs(style_id=...) before using the style. (Image/video FILE references require the multipart REST endpoint POST /styles.) Presets (instant, no analysis): presets={"art_style": id, "narrative_style": id, "director_style": id} — all three axes, ids from list_style_presets.
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  • Generate a high-fidelity cinematic video using Google Veo 3.1 (5 credits). Premium quality with realistic physics and cinematic lighting. Use ONLY for final deliverables — landing page videos, polished ad creatives, brand content. NEVER use for first drafts. Always iterate with generate_video first, then upgrade to Veo for the final version. [sensitive-tier, initiates a multi-step agent process — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time.]
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  • Ask a question about one or more videos with visual analysis. Most effective on focused time ranges — use start/end to specify the segment to analyze. BEFORE calling this tool, read the reka://docs/guide resource for recommended workflows. In most cases, you should first: - search_videos to find WHEN something happens, then pass those timestamps here as start/end - segment_video to detect and locate specific objects - get_transcript to read what was said For single-video questions, pass video_id with start/end. For cross-video questions, pass videos — a list of video references with start/end each. For follow-up questions, pass conversation_id from the previous response. You can add start/end to drill into a specific moment while keeping the conversation context. Requires qa_only or full pipeline.
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  • Fetch a YouTube video transcript from a video URL or 11-char id. The transcript is cleaned server-side: deduplicated, tags/HTML stripped, with coarse [m:ss] timestamps - roughly a tenth the size of the raw captions. Default format='text' returns it inline (when it fits ~40K chars / ~10K tokens) so a single call gives you the text directly; long-form videos fall back to a download_url note. Pass format='json' for the same transcript plus structured metadata and a presigned download_url - for batch/programmatic use. Default origin='uploader_provided' (human captions); falls back to 'auto_generated' automatically if missing (counts as 2 upstream calls). Cached 7 days server-side.
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  • Get transcripts for a YouTube channel's most recent videos (newest first) as timestamped markdown, one section per video. Use for research across a creator's recent output; for one known video use get_transcript. Read-only; requires an API key. Charges 1 credit per video that returns a transcript, including repeat calls; videos without captions are skipped free. A 10-video call typically costs up to 10 credits, so start with a small limit. Rate limit: 5 requests per 10 seconds.
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  • Edit a previously generated video with a text prompt and optional reference images (video-to-video). Pass the video `url` you received from `createVideo`, `createVideoFromReferences`, or an earlier edit — it must be a video you generated within the last 7 days; arbitrary external videos are not accepted. Optionally add up to 5 reference `images` (URL or base64) to guide the edit. Synchronous: the call blocks until rendering finishes and returns the new video URL and its actual duration in seconds. Credits are charged only on success, based on the produced duration and never more than the duration you requested. Pass an optional `request_id` to tag the result so you can locate it later via `getVideoResults`. Related tools: `createVideo` to generate the source clip, `createVideoFromReferences` for reference-driven generation. Requires an API key (user scope). Credits: cost varies by model and duration (credits/sec): Eagle 2/s; see this endpoint's full pricing table in the API docs.
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