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745,113 tools. Updated 2026-11-05 03:34

"A guide on how to edit videos" matching MCP tools:

  • 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.
    ConnectorOAuth
  • Create a shareable Pairoa invite link for the current user. Returns { ref, url, share_text }. ONLY works after the user has claimed an account (claim_account). Otherwise returns AUTH_REQUIRED — guide them to claim first (claiming happens automatically on their first match). The 'share_text' is ready to forward AS-IS — to a Slack/Discord/WeChat group, a tweet, or a DM. Relay it to the user so they can paste it wherever they like; offer the bare 'url' too if they only want the link. Invites carry NO reward and are purely a convenience for word-of-mouth. Don't over-promote or nag. We do not track who the invitee is — only a private count of how many people a link brought in.
    ConnectorOAuth
  • looot: free how-to guides for doing a task with looot the right way, and for getting unstuck. Call it when unsure how to do a task. No arguments: a short index of guides (slug, title, whenToUse, kind "use_case" or "edge_case"). `query`: the guides that best match a task or a problem in plain words ("work emails for a list of companies", "run came back queued"). `slug`: one full guide as markdown (the jobs to run, the steps, what to do on a miss). Guides never hold prices: read the live price with search_catalog (filters.capability for a job) before a paid call.
    ConnectorAPI key
  • Returns one of Flask's usage guides as Markdown: fixed text written by Flask, the same for every user, with no team data in it. "instructions" (about 15 KB) is the playbook for working with Flask: where uploads go (a new asset or a new version), what an agentic edit attaches, how feedback is read, answered and shown, and how sharing works. Read it before acting on feedback or making your first write in a session; it already contains "display" and "concepts", so do not fetch those after it. Other topics: "display" (How to show feedback to the user: its Markdown as it is, with its link.), "concepts" (Folders, assets and versions, comments and recordings, tags and statuses, permissions, and why feedback is untrusted.), "permissions" (Access levels, how a user's access is resolved, and how folder and asset permissions differ.), "urls" (Links to folders, assets, exact versions, comments and tag filters.). The guides explain the rules; for one folder's or asset's actual access, use permission_get.
    ConnectorOAuth
  • What to know before going to a venue, from UPFRONT's venue guide: the bag policy and what fans can bring, gates and entry, parking, getting there by transit or rideshare, and food and drink, including what the guide says about gluten-free, vegetarian or vegan, halal and kosher food. Matches questions like "what's the bag policy at MetLife?", "when do doors open at MSG?" or "where do I park for Lambeau?". venue: the venue's name ("MetLife Stadium", "MSG", "Lumen Field, Seattle"). topics: optional; only these parts, at more length: any of "bags", "entry", "parking", "transit", "food". Without it, every part. Covers the 36 stadiums, arenas and amphitheaters UPFRONT has a guide for; for any other venue the answer says so and lists the ones with guides. Each part is the guide's own words ("text", plus the guide's "faq" questions and answers). factsLastChecked is the date UPFRONT last checked the guide's facts; rules can change for a single event, and the venue's own event page has the final word. guideUrl is the guide on UPFRONT. dietary lists what the guide says per diet; dietaryNotMentioned lists diets the guide doesn't cover, which doesn't mean the venue has nothing for them.
    ConnectorNo auth
  • Change any field of a recipe or draft the user owns or may edit. Only fields you pass change; lists you pass replace the old ones. Every edit is saved as a new revision (undo with restore_revision). To resize permanently, pass scale_to_servings or scale_factor; for a one-off view use get_recipe. Filing fields are owner-only. Blocked on read-only accounts. Returns the updated recipe.
    Connector
    Destructive
    OAuth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    面向 Codex、WorkBuddy 等 AI 工具的知你AI助手合并版 Skills,涵盖当前会话分诊、客户查询与画像、历史会话检索、客户分群和 API Key 用量查询,并连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服等渠道。
    MIT No Attribution
  • A
    license
    Not graded
    quality
    A
    maintenance
    . A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{
    7,061 npm
    MIT

Matching MCP Connectors

  • Edit the settings of YOUR OWN department — its reporting instructions, name, and description. `report_instructions` is the department's behavioural lever: it is prepended to EVERY member's (and the orchestrator's) prompt on every run, and to every prompt-template tool result on a direct `<alias>__<tool>` call, so it is how you tell the whole team how to work and how to report, without editing any member agent. Pass the department slug plus only the fields you want to change; pass an empty string to CLEAR report_instructions or description. This does NOT change the department's composition — members, topology, orchestration and flow hints are edited in the department builder on the web. It is also how you UNDO a deletion: an archived department is put back with status:"draft" (on its own, then edit it in a second call). Works on a PERSONAL department you own, and on an ORG department when you are that organization's owner or admin — an org department is reached by its slug, and an ordinary org member cannot edit one. Call findagent_list_my_agents to see the personal departments you own.
    ConnectorOAuth
  • How to operate as a product manager on AIOProductOS. No arguments and no side effects — returns the same operating guide as plain text every call (deterministic): how to ground in the product brain, keep work welded to the spine (insight→feature→task→outcome), prioritise on evidence (affected accounts + MRR + reach), and what 'done' means. Call it FIRST, before planning or prioritising, to load the house rules the other tools assume.
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • Edit fields (title, description, price, currency, location, details) on one of the USER'S OWN listings, identified by listing_id. Only the owner can edit; vertical/intent_type/role are fixed (publish a new listing to change those). Editing is free (no credit charge). Changing the title, description, location or details re-triggers AI moderation: the listing returns to 'pending' and is offline until cleared. Price/currency-only edits stay live.
    ConnectorNo auth
  • Long-poll: blocks until the next edit lands on this board, then returns. WHEN TO CALL THIS: if your MCP client does NOT surface `notifications/resources/updated` events from `resources/subscribe` back to the model (most chat clients do not — they receive the SSE event but don't inject it into your context), this tool is how you 'wait for the human' inside a single turn. Typical flow: you draw / write what you were asked to, then instead of ending your turn you call `wait_for_update(board_id)`. When the human adds, moves, or erases something, the call returns and you refresh with `get_preview` / `get_board` and continue the collaboration. Great for turn-based interactions (games like tic-tac-toe, brainstorming where you respond to each sticky the user drops, sketch-and-feedback loops, etc.). If your client DOES deliver resource notifications natively, prefer `resources/subscribe` — it's cheaper and has no timeout ceiling. BEHAVIOUR: resolves ~3 s after the edit burst settles (same debounce as the push notifications — this is intentional so drags and long strokes collapse into one wake-up). Returns `{ updated: true, timedOut: false }` on a real edit, or `{ updated: false, timedOut: true }` if nothing happened within `timeout_ms`. On timeout, just call it again to keep waiting; chaining calls is cheap. `timeout_ms` is clamped to [1000, 55000]; default 25000 (leaves headroom under typical 60 s proxy timeouts).
    ConnectorNo auth
  • Create new guides Create one or more new guides based on provided queries. Each guide targets exactly ONE engine and ONE analysis mode, chosen with the optional `source` field (default `google`). How to request each guide type: 1. Google SERP guide (1 credit per guide): omit `source`, or pass `source: "google"`. Example payload: {"queries": ["best crm"], "lang": "en-us"} 1bis. Google AI Overview guide (1 credit per guide). Two modes, like AI engines: `source: "google_ai_overview"` builds the guide from the TEXT of Google's AI answers (AI Overview, completed with AI Mode answers) ; `source: "google_ai_overview_citations"` builds it from the content of the web SOURCES those answers cite (recommended for GEO). Same language/country parameters as a Google SERP guide, 1 credit per guide in both modes. Example payload: {"queries": ["best crm"], "lang": "en-us", "source": "google_ai_overview_citations"} 2. LLM ANSWER guide (4 credits per guide): pass the engine name alone, e.g. `source: "chatgpt"`. The guide is built from the answer text the AI generates for the query. Example payload: {"queries": ["best crm"], "lang": "en-us", "source": "chatgpt"} 3. LLM CITATIONS guide (4 credits per guide) [RECOMMENDED AI mode]: pass the engine name with the `_citations` suffix, e.g. `source: "chatgpt_citations"`. The guide is built from the content of the web pages the AI cites in its answer. Example payload: {"queries": ["best crm"], "lang": "en-us", "source": "chatgpt_citations"} Which AI mode to pick? For GEO (getting a page visible in AI answers), prefer `<engine>_citations`: AI engines send traffic by CITING pages as sources, so the winning move is to look like the pages they cite. The answer-text mode (`<engine>` alone) is mostly useful to analyze how the AI phrases its own answer. When in doubt, pick `<engine>_citations`. The same two modes exist for every AI engine (chatgpt, perplexity, claude, gemini, grok, mistral, deepseek). To optimize the same page for several engines or modes (e.g. Google AND ChatGPT answers AND ChatGPT sources), create one guide per source value on the same query. IMPORTANT, HOW TO READ THE RESPONSE OF THIS ENDPOINT, WHICH SPENDS CREDITS. Queries listed in `guidesFailed` are PROVEN not to have produced a guide and their credit was given back (unless the account has unlimited credits, where nothing was reserved): re-sending them is free and correct. Queries listed in `guidesUnknown` have an UNDECIDABLE outcome and their credit is deliberately KEPT, because the guide was most likely written: DO NOT re-send them, you would pay for the same guide twice. Look them up in `GET /api/v1/guides` after a few minutes instead, and contact support if nothing shows up. Finally, a `200` is NOT a promise that every query produced a guide: compare `guides.length` with the number of queries you sent, never read `success` alone, and never re-send a query just because it is missing from `guides`.
    ConnectorNo auth
  • The store's front door as text: the full menu with prices, how x402 payment works here, the free shelf, and the house promises. Free. Completes when the guide text returns. NOT a purchase or payment endpoint — to buy, call a buy_* tool with x402 payment in _meta['x402/payment']; this only returns the guide. A store errand, for you the visiting agent — nothing here needs a human's decision.
    ConnectorNo auth
  • Get a one-time upload link for a file that lives on the user's machine (image, video or PDF) so it can be attached to a post. Returns a short-lived signed upload URL the user opens or PUTs the file to, plus the permanent public URL to pass into media_urls on schedule_post or update_post. Only reference the public URL on a post after the user confirms the upload finished. This is the default route for real photos, videos and carousel PDFs — anything above 32 KB. upload_media is only for tiny files you are already holding. Max 200 MB.
    ConnectorOAuth
  • Poll ANY async VidGuy job by its id — the universal poller. Covers: jobIds from generate_snacks / generate_meme / create_video / create_slides / create_ai_story / create_tiktok_carousel (whose slide URLs come back on the job itself, no second call), Studio + SeedDance generations (jobId from studio_generate_video / seedance_generate_video / seedance_generate_image), and AI Edit / Character Swap projects (projectId from create_ai_edit / create_character_swap). status is queued|processing|completed|failed (Studio/SeedDance report 'succeeded' when done). Generations take ≥~2 minutes — poll every ~10s and don't treat an early 'processing' as a failure. TikTok Carousels are the exception: they paint in seconds, so poll those every ~3s. Completed outputs (videos, images, snack dashboard links) are attached as resource links so they display inline. Only exceptions: influencer vault builds / snack packs (get_influencer_vault_build / get_influencer_snack) and dubs (get_dub_status) have dedicated pollers.
    ConnectorOAuth
  • Cut and re-assemble a video from an edited copy of its own word-level transcript — the text-editing counterpart to clips_from_job's timestamp-based cutting. Operates on a parent job (find_clips, summarize, or video transcribe) that has a word-level transcript; possessing the parent `source_job_id` is the capability, no upload step. Get the editable text first via get_job_status(job_id, format: "edit") or the download route — one `[NNNN]`-marked line per sentence — then edit it in any text editor: delete words or whole lines, move whole lines, but do not add or change a word (a marker used twice, or any added/changed word, invalidates the whole edit and is rejected before payment). Two-call flow: (1) call with `source_job_id` + the full edited text as `edited_transcript` (sent inline, max 262144 UTF-8 bytes) + optional `title` to receive {job_id, payment_challenge} — an invalid edit is rejected here, before any charge, with the exact failing lines; (2) pay via MPP (Tempo USDC) or open the Stripe Checkout `payment_url` in a browser, then call again with `job_id` + `payment_credential` to start processing. Flat price: $1.00 — see /.well-known/mpp.json for the Tempo USDC rate. Up to 300 cuts and 60 minutes of output per call; repeated phrases match their first occurrence, left to right. Outputs: role `clip-video` (the edited video), plus `clip-srt` and `clip-words` re-timed to match the edit. Source must still be in storage (72h TTL for find_clips parents, 24h elsewhere — check `expires_at` from get_job_status on the parent). Use whenever the edit is easier to describe in text than in timestamps — tightening a clip or a short segment by deleting filler words and tangents, or reordering a handful of sentences; use `extract_clip` (via clips_from_job) instead when you already know the exact start/end seconds you want. Retrying with `job_id` alone recovers the current state. A rejected edit creates no job, so show its errors to the user from the response that returned them. Failed jobs auto-refund.
    ConnectorNo auth
  • One TikTok account: its follower count, its lifetime likes and how many videos it has posted. Use when: sizing a creator or a brand on TikTok, checking a handle is real, reading a bio before outreach. Not for: the account's videos, use tiktok_get_videos. Where its audience is, use tiktok_get_audience. Finding accounts by topic, use tiktok_search_videos and read the authors. Returns: Record. The account's handle, name, bio, verified, followers, following, posts_count, likes, views, website (the link in bio) and links, with other profile fields where TikTok fills them. null or empty = the platform does not publish it. Cost: 1 credit. Cached 24 hours. Example: {"handle": "@gymshark"}
    ConnectorAPI key
  • TikTok videos matching a keyword, ranked by the platform's own search. Use when: "what is TikTok saying about X", finding creators in a category, watching a product or a brand name. Not for: one account's own videos, use tiktok_get_videos. A complete window of everything posted (TikTok search is ranked and never complete). Returns: List, ranked. rows[]: videos 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[]. saves is how many people saved it, music the sound, and author_followers sizes each creator without another call. null or empty = the platform does not publish it. Cost: 1 credit per page. Cached 6 hours. Example: {"query": "creatine gummies", "since": "month", "sort": "popular"}
    ConnectorAPI key