"A server for finding video editing resources or tools" matching MCP tools:

• fetchA

  A-du: ADU rentals, plans and rulesA

  Fetch the full content for one id returned by `search`: a rental listing (rental:<uuid>), a plan set (plan:<uuid>) or a published page (page:<route>). Returns {id, title, text, url, metadata}. Always cite the url. Hosts that can call specific tools should prefer get_rental or the resources.

  ConnectorNo auth

• list_sheetsA

  Bilig WorkPaperA

  Discover sheet names and used dimensions before reading or editing a WorkPaper. Returns metadata only; use read_range or read_cell for values.

  ConnectorNo auth

• get_tier1_recommendationsA

  Tier1 IT AssessmentA

  Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.

  ConnectorNo auth

• fetchA

  MaplithA

  Read one map document by the id a search result handed you. Ids: object:<name>, finding:<id> or finding:<finding_key> (stable across rescans), process:<object type>, metric:<name>, statement:<id> (run-scoped: search again after a rescan), playbook:<id>. It is the second half of the search/fetch pair that connector clients such as ChatGPT require, and returns id, title, text, url and metadata with the direct tools' data flattened to text. If your client can call the direct tools, use them instead (structured, no search first): get_object for an object you can name, get_process for a process, get_metric for a metric, list_findings for findings by status. Use fetch for a result search handed you, or a finding_key.

  ConnectorOAuth

• tiktok_get_commentsA

  Manifold MCPA

  The comments on one TikTok video. Use when: reading what an audience actually said, finding objections and questions under a creator's post. Not for: comments across many videos (there is no such search on TikTok). The video itself, use tiktok_get_video. Returns: List. rows[]: one comment each: author, created_at, text (cut at 2000 characters), likes, replies, and parent_id and depth for a reply. Cost: 1 credit per page. Cached 6 hours. Example: {"url": "https://www.tiktok.com/@gymshark/video/7517114944362499342"}

  ConnectorAPI key

• linkedin_search_postsA

  Manifold MCPA

  LinkedIn posts matching a keyword, ranked by LinkedIn's own search. Use when: "what is being said about X on LinkedIn", finding the people posting about a category. Not for: one company's posts, use linkedin_get_company_posts. Finding people to contact, use leads_search_people. Returns: List, ranked. rows[]: posts with author and author_followers, created_at, text (cut at 2000 characters), likes, comments, shares, saves, views, media, duration_s, links, transcript and top_comments[]. top_comments are up to 10 commenters per post with their profile URLs, so one page names the people engaging with a topic; transcript is what a video post says. media is video only for a video stream; a photo, a document carousel or a GIF reads image. null or empty = the platform does not publish it. created_at is approximate: the platform shows an age such as "3 weeks ago", so it is exact only to that unit. Cost: 1 credit per page. Cached 6 hours. Example: {"query": "rfp automation", "since": "week"}

  ConnectorAPI key

• index_videoA

  RekaA

  Index a video for search, QA, or full analysis. Processes the video through a pipeline of AI features. Typically takes 3-7 minutes; longer for long videos or the 'full' pipeline. Times out after 10 minutes by default. Pipelines: - search_only: transcription + captions + embeddings (enables search_videos) - qa_only: transcription + captions (enables ask_video) - full: transcription + captions + embeddings (enables all tools) Scene detection is enabled by default and produces scene boundaries for get_scenes. Pass scene_detection=False to skip it. Prerequisites: if using video_id, the video must be in 'uploaded' status. Use get_video to check status before calling this tool.

  ConnectorNo auth

• generate_videoA

  mcpA

  Use this to create or edit an AI video. Text-to-video from a prompt; image-to-video by passing image (start frame, + optional end_image); reference-to-video by passing reference_images; or video-to-video editing by passing video (an input video URL — upload local files with upload_media first). IMPORTANT — cost: video is priced per SECOND and by resolution (default model seedance-2.5: 480p=150, 720p=330, 1080p=750 credits/sec, plus 80/160/375 per second of reference-video INPUT), so e.g. 5s at 720p ≈ 1,650 credits and 5s at 1080p ≈ 3,750; confirm with the user before expensive combos (long durations or many reference clips). Each call starts a new paid job, charged on success only. Submits an async job and returns a job_id (uuid) — video takes MINUTES: poll check_generation_status every 15–30 seconds until it returns the finished video link, then share that link with the user. Default model: seedance-2.5; call list_models for available video models and prices. Write @handle in the prompt to cast a character (list_characters), e.g. a free BudgetPixel AI influencer like @barry.

  Connector

  Destructive

  No auth

• category_landscapeA

  RightAIChoice — verified AI tool dataA

  Use this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own survival score and the date our record of it was last rebuilt. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).

  ConnectorNo auth

• category_landscapeA

  RightAIChoiceA

  Use this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own survival score and the date our record of it was last rebuilt. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).

  ConnectorNo auth

• edit_videoA

  ClypmintA

  Edit the user's own footage into a finished video. Put what they asked for into the fields, never into prose rules: kind (montage: pictures and music lead, e.g. sport, travel, events; talking: someone speaks), length ({min_seconds, max_seconds} for "45-60 s"), style_id (read browse_styles once first: a saved style of theirs (own: true) that fits the request is the one to use), music_staging_key (a song from import_asset) or song_upload: true (they have a song file but no link: the upload link takes it too), camera_sound, formats (only when they asked for a shape; otherwise the video keeps its own and nothing is cropped). instructions holds only anything else they asked for, in their own words. Clypmint watches the footage itself: do not describe the footage, write rules or ask the user how to edit. In ChatGPT attach the video as video. Otherwise leave it out: the answer has a private upload link (15 minutes) to give the user, and editing starts when the video lands. One upload per video: to change the length, song, cut or shape of a video already made, use revise_video or a direct edit tool on that video (a shape is one set_output_frame call), never a new upload; a separate new edit of the same footage is footage_from: that video_id. Like another video? reference_url (+ reference_mode clone or match) copies that video's style beside the upload, saves it to the user's styles, and the edit waits for it; leave style_id out. No footage (an idea or a script)? Use create_video. Also: purpose (organic, ad, youtube, sales_page), hooks 1-3 (an ad's openings), shorts 0-10 or 'all', clips (a long recording cut into clips alone), speaker_name, names, spellings, sound_effects, asset_ids, source_url (a public link where links are open). Cost: 3 credits to make, plus 1 for each started minute of footage and 1 for each started minute of finished video after the first, plus 2 for each extra hook, length or format and 2 for each clip; dry_run: true answers the cost and starts nothing. Preserve operation_id on retries.

  Connector

  Destructive

  No auth

• video_createA

  HubrisA

  Start generating a video from a text prompt with a video model from the Hubris catalogue (Veo, Kling, Seedance, Wan, Hailuo, Runway and others). Same as POST /v1/videos. Generation takes from one to several minutes, so this returns a task id right away; poll video_get with it every 15–30 seconds until status is "completed" or "failed". Allowed durations, resolutions and aspect ratios differ per model — models_get_pricing lists them under `video`. This tool takes a text prompt only: starting from images or a source video, and models that need a source — video editing, upscaling and talking avatars (FLUX Video Edit, FLUX Video Upscale, Runway Aleph, HeyGen Avatar) — work through the HTTP API (POST /v1/videos). Connected through OAuth (Claude, Cursor, VS Code)? Video needs the permission to create videos on the consent screen. If this tool answers that videos:write is missing, reconnect. Spends money from the account balance: priced per second of video. The largest possible cost is held when the task starts, the actual cost is charged when it completes and the difference is returned; a failed generation returns the whole hold.

  ConnectorAPI key

• make_videoA

  TrezaA

  The quickest way to make a video from a description: no template, node types or graph to wire. Picks a video model that renders the shape and length asked for (Veo 3.1 Lite unless a model is named or it cannot), prepares the render, and answers like estimate_run_cost: the price, whether the balance covers it, and a quoteId. It does NOT start the render: tell the person what it makes and the price, and once they accept, call run_pipeline with the returned pipelineId and quoteId (no inputs; the prompt is saved). Clients that show panels put the price in front of them with a Start render button. Use 9:16 for Shorts, Reels and TikTok. With maxPriceUsd, a video over it is refused with its price rather than shortened. To extend or continue a video the account already has ("continue it", "make it longer", "the next scene", "what happens next"), pass its url as continueFromVideoUrl: the new clip opens on that video's exact last frame and keeps its shape, and prompt says only what happens next. Never answer one of those with a fresh clip from the prompt alone, which is a different shot that cannot be cut onto the end. For anything beyond one generated clip (clipping a long video, music, narration, editing a file) use a template, assemble_video or edit_asset instead. Needs the pipelines:write scope; the run needs pipelines:run.

  ConnectorAPI key

• index_videoA

  VidovaA

  Index a Library video so search_video_moments can search it, or index one range of it again with shorter segments. mediaId is the video's Asset ID from search_assets or its Library id. startSeconds and endSeconds null index the whole video: new uploads are indexed automatically unless disabled in global settings, so do that only for an older, disabled or failed video. Segment length follows the indexed length: 2 seconds for up to a minute, growing to 6 seconds at three minutes and longer. Index a range of at least 4 seconds when a search moment is too coarse for the question: take that moment's startSeconds and endSeconds, a few seconds wider on each side. A range that rows already cover at least as densely returns the existing job without a charge. Uses about 22 credits a minute of indexed video, billed by the second; an accepted submission keeps its credits even if it later fails or is deleted. It never prevents editing. Returns a job; wait for it with read_video_intelligence and its jobId before searching.

  ConnectorOAuth

• picorn_posts_upload_videoA

  PicornA

  Upload an existing MP4, WebM or MOV clip to your own Picorn account. No video generation, editing or rendering. Pass raw mediaBase64 and contentType; maximum 15 MB decoded. Download a licensed source clip in your client first; a webpage URL is not video bytes. Returns fileId, mediaUrl and published:false. Inspect the clip, then publish with picorn_posts_schedule using that fileId, exact accountIds and publishNow:true or scheduledAt. Upload alone does not publish or incur a social posting charge. Requires account access.

  ConnectorNo auth

• prepare_ai_videoA

  AI Video Generator - AbracadabraxA

  Prepare a text-to-video clip with Abracadabrax from a scene description: visual style, landscape (YouTube), vertical (TikTok, Reels, Shorts) or square format, length in seconds and video model (Kling, Seedance, Sora, Veo). Returns the settings and the credits required; nothing is generated and no credits are spent. No sign-in is needed to prepare. Text only: do not use it for uploaded, attached or reference images or videos (editing, background removal, upscaling, image-to-video); for those, point the user to the Abracadabrax workspace.

  ConnectorNo auth

• fattly_upload_mediaA

  FattlyA

  Uploads a VIDEO or AUDIO file (public URL or base64 data) to FATTLY and returns a fal URL. Every videoUrl / audioUrl / sampleUrl you pass to other tools (fattly_edit_video, fattly_actor_swap, fattly_transcribe, fattly_clone_voice) must come from this upload — links uploaded elsewhere (even other fal.media links) are rejected. Video: MP4/MOV/WEBM up to 50 MB, checked for safety; audio: MP3/WAV/OGG/M4A/AAC up to 20 MB. Prefer `url` for larger files. No credits are charged for the upload.

  ConnectorOAuth

• pulse_resourcesA

  market-pulseA

  Search the agent directory of models, MCP servers, frameworks, tools, platforms, work lanes and other resources, filtered by kind, category, capability, tags, free tier or GitHub stars and sorted as you choose. Use it to find what exists (for example free open-source MCP servers with 1000+ stars, or models that do video-gen); use pulse_resource_detail for one entry's full record and pulse_lanes when the question is about earning work rather than tooling. Filters combine with AND; omit all to list everything in the directory. Read-only and idempotent. Works without an API key on the free tier. Returns {count, kinds, resources[]}. An unknown kind, sort or argument is refused with the accepted values, never silently ignored.

  ConnectorNo auth

• transcribeA

  WeftlyA

  Transcribe audio or video to text, including per-word timestamps for precise editing. Three-call flow: (1) call with `filename` to receive {job_id, payment_challenge}; (2) pay via MPP, then call with `job_id` + `payment_credential` to receive {upload_url} (presigned PUT, 1h expiry); (3) PUT the bytes, then complete_upload(job_id), then poll get_job_status(job_id). On completion, get_job_status returns two outputs: role `transcript` (SRT) and role `transcript-words` (JSON matching /.well-known/weftly-transcript-v2.schema.json, with segment-level and per-word timestamps). For other formats, pass `format=srt|txt|vtt|json|words|edit` to get_job_status to receive content inline — `txt` and `vtt` are derived from SRT, `json` is v1 (segments only), `words` is v2 (segments + words), `edit` is a plain-text "[NNNN] words..." paragraph list for editing by hand. Flat price: audio $0.50, video $1.00 — see /.well-known/mpp.json for the authoritative table. Use for podcasts, interviews, meetings, lectures, and especially for creating clips, multicamera edits, or edit-video-from-transcript where word boundaries matter. Retrying any call with `job_id` alone returns current state (idempotent). Failed jobs auto-refund.

  ConnectorNo auth

• discoverA

  AgentMarketplaceA

  Discover AgentMarketplace's capabilities, tools, auth methods, and scopes. Call this first when connecting to AgentMarketplace to understand what's available and how to authenticate. No authentication required. Returns a catalog of available tools, resources, auth methods, and scopes.

  ConnectorNo auth

• stitch_in_editorA

  switchA

  Stitch your videos together in the Switch Editor: puts the given videos on a fresh Editor timeline in the order given and returns the Editor address, where the cut plays in the preview and Export renders it as one video. Use this when the user wants to join, stitch, combine or put clips back to back and keep editing. Pass video ids in play order (from list_my_videos). Spends no tokens; stitch_videos is the one that renders a file straight away.

  ConnectorNo auth