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734,469 tools. Updated 2026-11-02 04:24

"Creating or obtaining a market map for AI video generation" matching MCP tools:

  • Produces a Canva video from a complete production specification. Use when a production guide has been selected and its required inputs and assets are available. Only call after the user has requested or approved this video generation in the current conversation. Before the first generation call in the current conversation, tell the user: "Just a quick heads up - creating a video may use a significant portion or all of your monthly AI limit. Would you like to continue?" Then wait for a new, explicit user reply agreeing to continue. Never reuse approval from another conversation or from memory. For later calls in the same conversation, do not repeat the heads-up, but require the user to request or approve each new video generation. Refer to it as their "AI limit". Do not provide their remaining AI limit, estimate how much a video will use, or discuss prices, plan names, or upgrades. Returns a job_id and polling_policy for tracking generation to completion.
    ConnectorOAuth
  • Delete ONE AI package resource of a video in one language (eBook, mind map or quiz) — cannot be undone: its content, PDF, images and the published file are removed, also for legacy resources. Same as the dashboard's Remove. Refused while it is still generating (checked before deleting; if that check fails nothing is deleted). Other languages and resources stay. To remove a failed generation card use panda_delete_ai_workflow.
    Connector
    Destructive
    No auth
  • 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
  • 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
  • Gets the status and result of a video generation job started by create-video. Pass the job_id and continuation_token from the previous create-video or get-video-generation-status response. While the job is still running, wait the number of seconds the response's polling_policy.wait_seconds gives, then poll again with the same job_id and the updated continuation_token. Never poll sooner than that: it returns the same answer and the video arrives no earlier. A completed job may carry the video before its preview_url is available; when the response still carries a polling_policy, wait as instructed and poll again to obtain the preview. Follow the polling_policy.instructions in every response, and relay them to the user while they wait. Automatic polling stops after 20 minutes. A delayed response means generation timed out or ran past the polling window and the video may still arrive; relay its message, direct the user to projects_url and do not start another generation automatically. An invalid_job error that carries projects_url means the status can no longer be checked; relay its message and share projects_url. When the video is ready, share its id and view_url with the user. Temporary preview and download links may expire; view_url opens the saved Canva asset.
    ConnectorOAuth
  • Start an AI video generation job (text-to-video, image-to-video, or an avatar reading a script). ASYNCHRONOUS: it returns a `jobId`; poll get_media_job until status is "done" to obtain the URL. Generation usually takes 1-5 minutes. Requires a provider configured by the organization (see list_media_providers). For a reel or Short, start with get_reel_playbook (the reel is built there); a clip from here can be one of its beats. This is one of the two ways; the other is Ignix Creator (`get_creator_setup`), with Ignix AI credits and no key. Ask which one only when both are available; otherwise use the one there is (no provider → Creator). Write a scene prompt following get_shot_guide("h3_clip"); with `shot` the server composes it and checks the minimum fields. SPENDS AI CREDITS ONLY WITH confirm: true. Call it first without confirm: nothing runs and nothing is charged, you get the quote (what it will do and the credits). Tell the user, in your own words, exactly that — including the options you chose, so they can change them — and wait for a clear yes before calling again with the same arguments and confirm: true. One yes covers the plan they approved (e.g. every line of an approved voice-over with the chosen voice); anything new or different needs a new yes.
    ConnectorOAuth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Analyzes early government notices to produce an evidence-backed map of plausible supplier companies with deterministic scoring and exact citation validation.
    MIT

Matching MCP Connectors

  • Build a one-tap link that makes a short vertical AI video of a character doing what the user describes (e.g. "Malfoid dances on the castle roof at midnight"). Use this whenever the user asks for an AI video, short, clip, TikTok/Reel/Shorts-style video, or animation of a character, avatar, mascot or persona. Returns a URL on cast.katechon.technology. Give the URL to the user and tell them to open it and tap the button: the video appears on that page, usually within half a minute (a few minutes for a 2-3 character group scene). This tool does NOT generate anything, charge anything or need an account. Live videos require purchased credits; new visitors receive no generation credits. Only characters returned by list_characters are supported premade cast for this flow; other cast members appear on story cards. Longer videos and custom characters cost credits (from $0.99). For a premade character pass character="malfoid" (or "malfoid,leo" for up to 3). For anyone else pass character_name and character_description (their look) instead; the user designs the character before the video.
    ConnectorNo auth
  • Start AI video generation from a prompt. Use listModels with kind=video to check models, supported lengths, and video credit costs. Confirm the model and cost with the user first. The finished video is saved as a draft and is not published. Check progress with getVideoStatus.
    ConnectorNo auth
  • Build a startup market map from a plain-language request, e.g. 'fintech startups in London' or 'AI coding assistants split by use case'. The map splits the market into segments and fills each with real companies from StartupHub.ai's database of startup profiles, with their logos. Returns image_url (a PNG of the finished map: show it to the user), editor_url (open the map in Market Map Maker to edit it by hand or by chat), the segments with every company and its profile link, and the full map spec as JSON. Set publish: true to also get a public link. Uses one market map credit from the account's monthly allowance. Answers within about 15 seconds: when status is 'building' the map is saved and still filling, section by section, so follow it with get_market_map (map_id) every few seconds until status is 'done', not with another create_market_map (the interactive map view in Claude does this itself and shows each section as it fills). Same result as POST /api/v1/market-maps. Needs a free StartupHub.ai account.
    ConnectorNo auth
  • Returns the current AetherWave credit balance for the API key. Use this BEFORE a generation to confirm sufficient credits, especially for video which can cost 30-300+ credits depending on model/duration/resolution.
    ConnectorNo auth
  • Estimate credits for a Cannon Studio generation request before creating billable work. Requires OAuth or a developer API key; it may update key/token usage metadata but does not spend credits, enqueue jobs, or change assets. Use get_api_operation first if operation or input fields are unclear, then pass the same operation/input pair to create_generation_request after user approval.
    ConnectorNo auth
  • Generate a video from a text prompt, optionally driven by reference images (image-to-video, first/last frame). This is asynchronous: it returns a task_id you poll with get_task(platform='video'). Generation usually takes 30-180 seconds. Pass wait_seconds to have the server poll for you. Video generation is the most expensive capability here — confirm the prompt with the user before spending on retries.
    ConnectorNo auth
  • Return one of the caller's own image or video generations by task id: a finished one again (no new generation, no credits), or wait for one that was still running. Task ids are quoted in every generation reply and by list_generations. Free to call; it never starts anything.
    ConnectorOAuth
  • Convenience tool: generates a post with AI (postType 'CAROUSEL' by default, 'IMAGE' for a single-image post, or 'VIDEO' for a video), waits for it to finish, then creates a scheduled post that attaches the resulting design. May take 30-180 seconds (longer for a rendered video). templateId, brandId, presetId, and responseType are optional if saved via postnitro_set_defaults. The design that gets attached is the completed carousel's design ID (result.designId from the generation output) — NOT the generation job ID. You normally don't set designId; it's resolved automatically. Pass designId only to attach a pre-existing design instead of the freshly generated one. If scheduling fails after the carousel is already generated (e.g. an invalid platform-settings combination), this tool returns the generated designId so you can fix the inputs and retry with postnitro_create_scheduled_post — WITHOUT regenerating (which would burn credits again). Provide the scheduling fields (status, scheduledAt, selectedAccounts, captions, and any required per-platform settings) just as you would for postnitro_create_scheduled_post.
    ConnectorAPI key
  • Use this to import up to eight user-authorized image, video or audio files from temporary host file handles, including attachments or authorized generation results, into the connected private MaxVideoAI library. MaxVideoAI manages these references; the host owns creating or selecting reference media. Use returned asset IDs directly and preserve input order; do not call list_media after a successful direct import. On partial failure, keep successful IDs and retry only failed files. Do not invent or substitute download URLs, send local filesystem paths, re-import existing library assets, generate, or spend. When the host cannot expose a file handle, use create_reference_upload_link instead.
    ConnectorOAuth
  • Save the gold reference for an enrichment or schema-generation benchmark. Only set reference_verified=true after checking its values against trusted evidence or obtaining human sign-off; a generated answer alone is not verification. Schema-generation references must be GeneratedJsonSchema objects. Sample-generation scenarios reject references because they are rubric-scored. Requires owner and a plan with benchmarks; no LLM call. A verified reference enables run_benchmark. See enricher://docs/model-benchmark.
    ConnectorOAuth
  • List the image and video generation models available on Framevine, with each model's modelKey, media type (image or video), supported durations and aspect ratios, and what image inputs it accepts. Call this before generating to pick a valid modelKey, and use estimate_cost for pricing.
    ConnectorOAuth
  • AI image generation from a text prompt. Generate album and single cover art, podcast and video thumbnails, social and campaign graphics, concept art, storyboard frames, product shots, and article illustrations. Returns one hosted still image as PNG or JPEG in square, portrait, or widescreen framing (1:1, 4:5, 9:16, 16:9, 21:9). Async by default: poll the returned pollUrl for imageUrl, or pass ?async=false to block. — $0.15 USDC via x402 on Base (chain 8453).
    ConnectorNo auth
  • ONLY for video montage/stitching/export workflows. Use when the user explicitly asks to create a montage, stitch clips, make a reel, export a video sequence, make video clips from images, or combine images/videos into one final video. Never use this for a photoshoot, lookbook, product shoot, collection shoot, outfit shoot, garment shoot, or image-generation request; those must use request_user_context followed by propose_brief/update_brief. Do not call this merely because selected context contains images, generations, garments, or models. A photoshoot may later feed a montage, but the photoshoot itself must be proposed as a BriefProposal first. PROPOSES the montage for user review — user can edit clips, generate missing videos, then export. Supports: existing videos with optional trim (`target_duration` or `start_time`/`end_time`), images that need video generation (specify video_model + a bespoke per-image motion prompt, and optionally `target_duration` or `duration`), per-clip speed/mute, global aspect ratio. If the user asks for clips to be e.g. '3 seconds each', set `target_duration: 3` on every item, including image items. For image items, avoid generic repeated prompts: tailor each prompt to the specific image and any requested zoom, movement, energy, or camera direction. If motion is not specified, inspect the image first with view_image and then write a fitting motion prompt from the image content before proposing. The user reviews and confirms in the UI. Export is free (0 credits); video generation clips cost credits per their model. Prefer create_montage / edit_montage for a saved montage the user can open in Uwear.
    ConnectorNo auth
  • Read the public homepage of the user's website and return an AI-written business description as { description }, without creating or changing any website. Use it to draft or preview the text before create_website or update_website, then pass the result as their description. Consumes one AI generation from the monthly quota unless a precomputed description already exists for that domain, and refunds it if generation fails. Returns 400 when the quota is exhausted or url is not a valid URL, and an error when the page has too little readable text.
    ConnectorOAuth
  • Use this when the user supplies source code and asks for UML, Mermaid, sequence, class, component, or architecture diagrams. After authorization, this state-changing generation consumes AI credits, creates a generation, and can save markdown to a Space. Public Spaces expose saved diagrams. Use browser guidance for local uploads or full-repository diagrams.
    ConnectorOAuth