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127,390 tools. Last updated 2026-05-05 15:09

"Video content analysis and understanding for large language models" matching MCP tools:

  • 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 presigned download URLs for two files: 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` 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). 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.
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  • Perform comprehensive audit of a website URL. Fetches the URL content ONCE and provides a combined report with: - Classification: category, subcategory, language, sentiment, demographics - SEO Analysis: score, grade, issues, recommendations - EEAT Analysis: experience, expertise, authoritativeness, trustworthiness scores - AEO Analysis: AI answer engine optimization score, metrics, issues, signals (includes full Citation Readiness analysis in the nested 'citation' key) - Advertiser Matching: best-fit advertising networks with scores - Similar Sites: competitor/related sites from the same category This is more efficient than calling classify_url, analyze_seo, analyze_eeat, analyze_aeo, select_advertiser, and find_similar_sites separately as it only fetches the page once. Args: url: The website URL to audit (e.g., "https://example.com"). Returns: Comprehensive audit report with: - url: The analyzed URL - classification: Category, subcategory, language, sentiment, demographics - seo: Score, grade, issues, recommendations - eeat: EEAT score, grade, category scores, issues, signals - aeo: AEO score, grade, metrics, issues, signals (includes citation results) - advertisers: Matched advertising networks with scores - similar_sites: Related sites from the same category (up to 10) - cached: Whether result was from cache
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  • Get detailed CV version including structured content, sections, word count, and audience profile. cv_version_id from ceevee_upload_cv or ceevee_list_versions. Use to inspect CV content before running analysis tools. Free.
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  • Edit a file in the solution's GitHub repo and commit. Two modes: 1. FULL FILE: provide `content` — replaces entire file (good for new files or small files) 2. SEARCH/REPLACE: provide `search` + `replace` — surgical edit without sending full file (preferred for large files like server.js) Always use search/replace for large files (>5KB). Always read the file first with ateam_github_read to get the exact text to search for.
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  • Search Hansard for parliamentary debates, questions, and speeches. Returns contributions from MPs and Lords including date, party, debate title, and text (capped at 3000 chars per contribution). Useful for understanding legislative intent or political context.
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  • List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.
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  • AI-powered video publishing, channel management, and monetization via open.video

  • MCP server for social media and content data including social profiles, engagement metrics, content trends, and influencer analytics for AI agents.

  • Generate a presentation from text content. Returns a generation_id to poll. Args: input_text: Content to transform into slides (text, markdown, or notes) title: Presentation title theme_id: Theme ID to use for the presentation. Call get_themes to discover available theme IDs and names for the authenticated user. vibe_id: Vibe ID for visual style. Call get_vibes to discover available vibes. Requires num_creative_variants >= 1 when set. slide_range: Target slides - 'auto', '1', '2-5', '6-10', '11-15', '16-20' additional_instructions: Extra guidance for the AI include_ai_images: Whether to generate AI images for slides num_creative_variants: Number of creative slide variants (0-2). Increases cost. image_ids: IDs of previously uploaded images to incorporate into slides. total_variants_per_slide: Number of distinct slide options to generate (1-4). export_formats: Output formats - 'link', 'pdf', 'ppt'. Defaults to ['link']. language: Output language, e.g. "French", "Japanese", "Spanish (Latin America)". If not set, matches the input language. Poll get_generation_status until status is 'completed'.
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  • Fetch the full transcript (subtitles/captions) of a YouTube video in any language. ALWAYS call this when the user shares ANY YouTube link (youtube.com, youtu.be, shorts). Also use when the user wants to: summarize a video, know what was said, quote or cite video content, translate video dialogue, fact-check claims, study a lecture or tutorial, extract key points, analyze speaker arguments, or any task involving the spoken content of a video. Pass save=true to also bookmark the video into the user's Library in the same call (upserts the meta row; when the result came from ASR fallback it also flags has_asr). Saves a follow-up save_to_library round-trip.
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  • List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.
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  • Get full candidate detail including parsed CV content and parse status. Use this to verify CV parsing is complete (status='completed') before starting analysis. Requires context_id and candidate_id from atlas_upload_candidate or atlas_list_candidates. Free.
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  • List all custom evaluation models for the authenticated user. Returns an array of model objects with id, name, description, and status. Use model id in artifact, rubric, and evaluation tools. Free.
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  • List inbound packages at your mailbox with optional filters by status, carrier, and date. Returns tracking number, carrier, status, and received timestamp for each package. Use pagination (limit/offset) for large result sets.
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  • Get canonical FINN URLs for a brand and its models — for building internal linking blocks on SEO pages. For each model returns three URLs that target DIFFERENT funnels: `mdp_url` (marketing/brand page), `plp_subscribe_url` (subscription product listing, /de-DE/subscribe/{brand}_{model}), and `plp_leasing_url` (leasing product listing, /de-DE/leasing/{brand}_{model}). Use `plp_leasing_url` when linking from a Leasing advisory, `plp_subscribe_url` when linking from subscription content. If `model` is omitted, returns all currently available models for the brand.
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  • Returns the transcript for a video in a specific language. Supports both auto-generated (ASR) and machine-translated subtitles. Returns WebVTT format. Supports projection_preset and data_fields for payload reduction.
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  • Generate an AI video from text prompt using VAP (P-Video). Returns a task ID for async tracking. Cost: $1.96. IMPORTANT: Send ONLY the video description. Do NOT include any instructions, guidelines, or meta-text. Just the pure visual description.
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  • Aggregate OpenAlex entities into groups and count them. Use for trend analysis (group works by publication_year), distribution analysis (group by oa_status, type, country), and comparative analysis (group by institution or topic). Combine with filters to scope the analysis. Returns up to 200 groups per page — use cursor pagination for fields with many distinct values.
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  • Optional helper before plan_create. Returns model_profile options with plain-language guidance and currently available models in each profile. If no models are available, returns error code MODEL_PROFILES_UNAVAILABLE.
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  • List files and directories in any public git repo. Supports fuzzy file search (query parameter), language/path filtering, and depth control. Combine query with path_filter to search within a directory subset. Use to explore project layout, find files by name, or browse specific directories. Results capped at 1000 files; response includes total_files, files_shown, and truncated fields. Use language or path_filter to narrow large repos. Dependency/build directories excluded by default.
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  • Retrieve the current available and used classification credits for the authenticated Identifai account. Use this to check quota status before submitting large batches.
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