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408,026 tools. Last updated 2026-08-07 06:17

"A server for summarizing content and extracting summaries from videos" matching MCP tools:

  • 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.
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  • Browse recent CRS (Congressional Research Service) bill summaries — plain-language summaries of bills at each legislative stage, useful for answering "what's happening in Congress?". The fromDateTime/toDateTime filters apply to the summary's update time, not the bill's action date, so results include recently rewritten summaries of older bills. Defaults to summaries updated in the last 7 days. Each item shows both the bill's action date and the summary update date. For summaries of one specific bill, use congressgov_bill_lookup with operation='summaries' instead.
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  • Lists agreement summaries visible to the current API key. Supports pagination (cursor + limit), filtering by chain and state, and sorting. Returns summaries only; use get_agreement for the full record.
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  • Fetch a public HTTPS URL and return extracted text and page metadata. Lean mode — no evidence bundle stored, no bundle_id returned. Use for raw text extraction from web pages and online documents. Use url.summarize for summaries, url.qa for Q&A, url.translate for translation, document.extract_text for base64 file uploads. Returns: { url, title, word_count, text, final_url (after redirects) } Example prompts: - "Extract the text from https://example.com/report.pdf for me." - "Get me the raw content of this web page: [URL]." - "Pull the text from this online article so I can analyze it."
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  • Fetch a public HTTPS URL and return extracted text and page metadata. Lean mode — no evidence bundle stored, no bundle_id returned. Use for raw text extraction from web pages and online documents. Use url.summarize for summaries, url.qa for Q&A, url.translate for translation, document.extract_text for base64 file uploads. Returns: { url, title, word_count, text, final_url (after redirects) } Example prompts: - "Extract the text from https://example.com/report.pdf for me." - "Get me the raw content of this web page: [URL]." - "Pull the text from this online article so I can analyze it."
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  • Fetch a public HTTPS URL and return its content translated into a target language. Lean mode — no bundle stored. Use when you need to understand web content in a different language. For extracting raw untranslated text, use url.extract instead. Returns: { url, translated_text, target_lang, truncated } Example prompts: - "Translate https://example.de/artikel into English for me." - "Translate this German article into Spanish: [URL]." - "Fetch [URL] and give me the French translation."
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Matching MCP Servers

  • A
    license
    -
    quality
    C
    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
    29
    6
    MIT

Matching MCP Connectors

  • Search and download high-quality stock photos and videos.

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

  • 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 new workspace in the caller's org. Works for both user and agent callers; agent-created workspaces attribute to the agent and enroll the agent's owning user as a co-owner so the human sees it in their dashboard. The new workspace is seeded with one primary surface matching `mode`: `doc` → a Notes tab (for prose), `table` → a Sheet tab (for records), `html` → a Mockup tab (sandboxed HTML preview). Decide the surface before you create: prose (briefs, notes, summaries, drafts) → `doc`; records with shared columns (tasks, leads, rows) → `table`. If you omit `mode`, pass `initial_markdown` to signal a `doc`; with neither `mode` nor `initial_markdown`, an agent caller gets a guided error asking it to choose `doc` or `table` (so you never silently land on the wrong surface). An explicit `mode` is always honored. `html` is only picked when explicitly requested. Add more tabs of any kind later via `create_surface`. Agent-created workspaces default to org-visibility so sibling agents in the same org aren't 403'd. For prose content (briefs, summaries, changelogs) pass `initial_markdown` to seed the doc body in one call; the markdown is converted server-side, no need to hand-build ProseMirror JSON.
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  • Fetch the full Quantustik signal + forecast writeup for one ticker. Paired with search — call search(query) first to find the ticker's id, then fetch(id) here for the full readable content. Also accepts a bare ticker symbol typed directly (id need not come from a prior search call). Args: id: Ticker symbol as returned by search, e.g. "NVDA". Returns a dict with id, title, text (a plain-text signal/forecast summary suitable for quoting or summarizing), url, and metadata (verdict, conviction, generated_at).
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  • Fetch first-hand content from a URL. Returns `structuredContent.data` with {title, content, url, cache_hit, fetched_at}. Read `.data.content` directly — the metadata and content are separated. Pass `delivery_level=excerpt` (default) for ~300 chars, `full` for complete content. [ASRP: Call AFTER origingrid_search. Loop over sources[] and fetch each source.url.]
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  • Start an AI extraction of a YouTube video, podcast, article, or PDF URL on CoreWise. Returns an extraction_id immediately after initialization. Initialization normally takes a few seconds but can take up to 2 minutes for videos without captions or for PDFs. The extraction itself then runs for 1-7 minutes: poll with get_extraction every 20-30 seconds until status is 'completed'. Results include a cross-validated synthesis plus per-model summaries. Requires an API key (create one at corewise.video, Profile page, 'API & MCP Keys'). Each call consumes one extraction from the key owner's monthly quota.
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  • Compute a stateless 3-way merge for a vault file. Server runs `git merge-file --diff3 --stdout` over (base_text, local_text, current remote from file_indices) and returns the merged text plus the exact remote_sha it merged against. NO database mutation — to commit the result, follow up with sync_push(content=merged_text, base_sha=merged_against.remote_sha, resolves_conflict_id=conflict_id).
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  • Search humanitarian reports on ReliefWeb with filtering by country, disaster, format, theme, language, source, and date. Returns paginated summaries — use reliefweb_get_report to fetch full body text. Report body is excluded from results (10–100KB each); call get_report when document content is needed. Every report is reachable by default — reports have no archived class, so include_archived has no effect here. Note: each call counts against the 1,000 calls/day quota.
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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 transcript metadata (video_id, canonical url, language, origin, size) 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 CCPEDIA's CONTENT-CATALOG metrics: how many Canton items CCPEDIA has indexed. Counts of CIPs (total/in-review/final), forum topics & posts, GitHub issues/PRs, dev-fund proposals, docs pages, videos, blog posts, mailing threads, and radar items. This is CCPEDIA coverage/inventory, NOT live Canton on-chain stats. For on-chain validators/rounds use get_network_state, for price/TVL use get_token_market.
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  • List Canton Network videos cached in CCPEDIA, filtered by channel (Canton Network, Digital Asset, Sync Insights, Canton Foundation, Daml), publish date (since), and transcript availability. CANTON-ONLY corpus. These are curated Canton ecosystem videos, not general YouTube. Returns metadata only (id, title, channel, date); call get_video with an id for the transcript.
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  • Counts of CELESTIA CONTENT indexed by blobpedia (how many CIPs, forum threads, docs, videos, etc.). This is INDEX/catalog coverage of what blobpedia has cataloged, NOT live chain state. For LIVE on-chain metrics (block height, TIA supply, validators, cumulative blob data) or TIA price/market, use get_network_state on THIS server instead. Zero arguments.
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  • Launch a content campaign: rally the ProductClank community to create content (posts, threads, videos) for a product. Spends 1000 credits. The platform's AI expands your brief into a full campaign and auto-activates it; community submissions and winner selection happen in the ProductClank web app. Requires a product_id from search_products. Preview with suggest_content_campaign and confirm the 1000-credit cost with the user before calling.
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  • Return the protected URL for Red's content administration page (Freshdesk articles, YouTube videos, and visibility controls). Use when a Big Red Book / Big Red Cloud staff member asks to open Red's admin page, the BRC Edu admin page, or the content resources admin. Returns only the customer-facing protected admin URL — never a shared secret, query parameter, token, or bypass link. Opening the link still requires Microsoft Entra sign-in; only authorised staff can access the page. Does not bypass authentication. Does not require a connected company. Do not invent or append secret query parameters. Do not expose BRC_EDU_ADMIN_UPLOAD_SECRET or any upload secret.
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  • Notarize a document or data hash for AI agents: submit a SHA-256 hash (or short content hashed server-side) and get a timestamped, Ed25519-signed proof-of-existence receipt, verifiable offline with no callback. Prove an artifact, agent output or decision existed at a point in time. Honest scope: this is a SIGNED proof-of-existence receipt, NOT a blockchain-anchored or eIDAS/RFC-3161 legal timestamp. The issuer never sees your content when you send only a hash. Price: $0.01 per call (x402 payment, USDC on Base mainnet). Notarize a SHA-256 hash (or short content hashed server-side) into a timestamped, Ed25519-signed proof-of-existence receipt, verifiable offline. Signed proof, NOT a blockchain-anchored or legal (eIDAS/RFC 3161) timestamp. Input: hash or content (+memo).
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