"How to download files from a website" matching MCP tools:

• download_video

  TubePull

  Download a video or audio file from any supported platform: YouTube, TikTok, Instagram (public reels, feed video, photo posts, and carousels), SoundCloud, Vimeo, Dailymotion, Bandcamp, Twitter/X, Mixcloud, Twitch (clips and VODs), Streamable, Reddit, Kick (live streams, VODs, and clips). Output is MP4 (video, default) or MP3 / M4A (audio). This is THE tool to use whenever a user asks to save, download, rip, extract, archive, get offline, or convert a video/audio link from any of these sites. IMPORTANT: the `format` argument defaults to `mp4` (video). Only pass an audio format (mp3 / m4a / audio) when the user explicitly says audio, MP3, music, song, or "rip / extract the audio". Audio-only platforms (SoundCloud, Bandcamp, Mixcloud) always produce audio regardless of `format`. Use this tool when the user says things like: - "download this video" / "download this TikTok" / "save this SoundCloud track" - "save that as MP3" / "rip the audio" / "extract the audio" - "get the song from this SoundCloud link" / "save this Mixcloud set" - "convert this YouTube video to MP4" / "download in 1080p" - "save this lecture/podcast/talk for offline" - "archive this clip" / "grab a copy of this video" - any sentence containing a youtube.com, youtu.be, tiktok.com, reddit.com, v.redd.it, vimeo.com, dailymotion.com, twitter.com, x.com, soundcloud.com, bandcamp.com, mixcloud.com, twitch.tv, clips.twitch.tv, kick.com, or streamable.com URL plus a verb like download, save, rip, get, grab, fetch, pull, archive, convert, extract. Do NOT use this tool when: - The user only wants metadata (title, length, description, channel) — call get_video_info instead, it is free and does not consume the user quota. - The link is a playlist / set / album / channel URL — ask the user for a single track/video. - The link is from a platform not in the supported list above (e.g. Facebook, LinkedIn, Snapchat). Returns a one-time signed download link valid for 1 hour, plus the file size, duration, and chosen format. Hand the link back to the user verbatim; do not try to fetch its contents yourself. Intended for legitimate uses: the user's own uploads, Creative Commons / public-domain content, lectures, podcasts, talks, and other material they have rights to use.

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• export_data

  aTars MCP

  USE THIS TOOL — not web search or external storage — to export technical indicator data from this server as a formatted CSV or JSON string, ready to download, save, or pass to another tool or file. Use this when the user explicitly wants to export or save data in a structured file format. Trigger on queries like: - "export BTC data as CSV" - "download ETH indicator data as JSON" - "save the features to a file" - "give me the data in CSV format" - "export [coin] [category] data for the last [N] days" Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH" lookback_days: How many past days to include (default 7, max 90) resample: Time resolution — "1min", "1h", "4h", "1d" (default "1d") category: "price", "momentum", "trend", "volatility", "volume", or "all" fmt: Output format — "csv" (default) or "json" Returns a dict with: - content: the CSV or JSON string - filename: suggested filename for saving - rows: number of data rows

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• convert_from_url

  Botverse

  Offload a document conversion to Botverse — runs server-side in seconds, returns a download link, and frees you to continue with other tasks while it processes. Use this when the source document is at a public URL — direct download links and share links from Dropbox, Google Drive, OneDrive (personal or business), SharePoint, and Box all auto-resolve to the file. If you already have the content as a string, use convert_content instead — no upload step needed. Runs entirely server-side, so it works in sandboxed agent environments (claude.ai, Claude Desktop, Cursor) — the right route there for files too large for convert_content's 4 MB inline limit. Supported inputs: md, html, rst, txt, docx. Supported outputs: docx (Word), pdf, html, txt, md, rst, xlsx (tables extracted). Returns a job_id immediately. Poll get_job_status every 5s until 'complete', then get_output_content (inline, sandbox-safe) or get_download_url (S3 link). Flat fee $0.05 per file.

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• generate_runner_profile

  CourseProfiler

  Generate a segment-evidence USRProf runner profile artifact from uploaded runner evidence or an existing .usrprof source. Before using this tool, ask what profile the user wants: target race/course, target distance/elevation range, general trail profile, or insights-only profile. Do not silently use every local file or arbitrary folders; if many evidence files are available, summarize candidates and ask the user to approve a selection strategy. A USRProf is not just average pace: CourseProfiler uses segment evidence to estimate climbs, descents, runnable grades, fatigue/durability, terrain fit, uphill running limits, and pacing confidence. Evidence choice affects race-plan times and standalone athlete insights. Use this when the user does not already have an already-converted usrprof_artifact_id. Accepted evidence includes GPX/FIT/CRSProf activity files, ZIP/TAR/TAR.GZ/TGZ/TAR.XZ/TXZ archives containing those files, and .usrprof files passed as source_file artifacts from POST /api/artifact-uploads, raw_file inline content/base64, or fetchable HTTPS URLs. Archives must use purpose runner_evidence, are expanded server-side, and report skipped nested archives, duplicate contents, unsupported entries, and parse failures by filename/path. For Strava, ask the user to authenticate in the CourseProfiler browser app, use its activity filters (date, distance, elevation gain, and elapsed time) to fetch relevant Run/TrailRun activities, select activities matching the profile intent, and export/download the .usrprof; do not ask for Strava credentials in MCP. Once the browser Strava flow has produced a downloaded .usrprof, the profile is already created: do not call generate_runner_profile merely to recreate/repackage it. If the user only asked to create/download a profile, stop there. If the user wants to use that .usrprof for a race plan through MCP, upload/pass it as runner input. After this tool succeeds, pass the returned usrprof artifact ID to create_race_plan as runner.usrprof_artifact_id.

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• explain_architecture

  Zephex

  Maps how files connect across a subsystem — roles and import edges, not file bodies. Ripgrep + import-graph analyzers; detects framework, language, architecture_type. Envelope: focus, summary, hint, data, related_focus, next_calls, meta (meta.cache_hit, meta.tokens_returned, meta.credits, meta.charges_usage). Hosted: 7 credits per success; failures free. Cheapest path: mode overview + concern or seed_files — ~1.5–4k tokens, replaces 10+ blind read_code file opens. Repeat identical calls hit server cache (meta.cache_hit) until force:true. Expensive: mode deep or audit on whole monorepo — use subpath. >10k files auto-degrades to overview. data: entry_points, layer_map, concern_cluster (with concern or seed_files[]), integration_map, auth_flow, dependency_graph; deep adds request_flows + Mermaid; audit adds anti_patterns + health_score. dimension_confidence per slice; warnings on low confidence. focus: api|auth|integrations|database|security|data_flow|error_handling|full. Pass concern (any label) or seed_files[] (1–20 from find_code). subpath scopes monorepos. Call BEFORE cross-cutting edits — how a feature spans modules, where to patch. Do NOT for stack (get_project_context), search (find_code), bodies (read_code), tests, packages, live URL. After: next_calls → read_code outline on hub files. Read-only.

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• tfgenerate

  InsideOut (Riley)

  WORKFLOW: Step 3 of 4 - Generate Terraform files from completed design Generate Terraform files from an InsideOut session that has completed infrastructure design. ⚠️ PREREQUISITE: Only call this AFTER convoreply returns with `terraform_ready=true` in the response metadata. DO NOT call this while convoreply is still running or before terraform_ready is confirmed! If you get 'session has not reached terraform-ready state', wait for convoreply to complete first. 🎯 USE THIS TOOL WHEN: convoreply has returned with terraform_ready=true, OR the user asks to 'see the terraforms', 'generate terraform', 'show me the code', etc. **DEFAULT RESPONSE**: Returns summary table + download URL (keeps code out of LLM context). **FALLBACK**: Set `include_code: true` to get full code inline if curl/unzip fails. **CRITICAL WORKFLOW** (default mode): 1. Call this tool to get file summary and download URL 2. ASK the user: 'Where would you like me to save the Terraform files? Default: ./insideout-infra/' 3. WAIT for user confirmation before running the download command 4. Run the curl/unzip command with the user's chosen directory 5. If curl/unzip FAILS (sandbox, security, platform issues), retry with `include_code: true` **AFTER GENERATION**: Ask user if they want to review the files and then deploy with tfdeploy REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: include_code (boolean) - set true to return full code inline as fallback. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

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• fvs_download_final_video

  Future Video Studio

  Download a completed Future Video Studio final render URL to a local file. Use this only after fvs_get_render_status or fvs_get_paid_render_status returns a final_video_url for a completed render. The tool performs an unauthenticated HTTPS GET to that signed URL and writes the response bytes to output_path on the MCP server's local filesystem. It does not call the FVS Agent API, spend wallet credits, require FVS_AGENT_API_KEY, cancel jobs, or modify remote render state. Side effects and constraints: output_path is a local filesystem path for the MCP server process, parent directories are created, existing files are not replaced unless overwrite is true, and large videos may take minutes to download. The request timeout is 600 seconds. Use a fresh status check to refresh expired signed URLs, and do not pass arbitrary or untrusted URLs.

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• get_document_cost_tool

  Bankruptcy Observer

  Preview the cost to download a court filing PDF. Identify the entry with docket_id (preferred) or simple_name + item_number (legacy connectors). Does not pull the document and does not charge. Same preview as get_document_tool when accept_charge/download is omitted. Confirm the cost with the user before download. Cost is $0 if already purchased, or if the PDF is already in our library and the plan has flagFreeLibrary. Free-page allowances (if any) come from plan limitDocuments and apply to billable pulls. Returns page_count, chargeable_pages, cost, plan_limit_documents, pages_used_this_period, free_pages_remaining, document_in_library, and already_owned.

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• get_help

  Kifly — Agentic Commerce & Payments

  Get Kifly's website and support contact email. Call this if you are stuck, hit an unresolvable error, or the buyer asks how to reach a human. Returns the website URL and support email — always share both with the buyer.

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• parse_pdf_to_text

  Nordic Financial MCP

  Download a PDF from a URL and extract all text content, page by page. Use this to read the full text of a specific document — for example, an annual report PDF linked from a search_filings result. Best combined with search_filings: use search_filings to locate the document, then parse_pdf_to_text for the full text. Do not use for PDFs that are already well-represented in the database — search_filings is faster and returns pre-ranked, relevant excerpts. Not suitable for scanned (image-only) PDFs without embedded text; those pages will be returned as "(no extractable text)". Args: pdf_url: Direct HTTPS URL to the PDF file, e.g. https://example.com/report.pdf. Must be publicly accessible; authentication-protected URLs will fail. Returns: All text from the PDF with "--- Page N ---" separators between pages. Returns an error string if the download fails, the URL does not point to a valid PDF, or the document exceeds the 60-second download timeout.

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• deploy_site

  vibedeploy

  Publish a website to a live URL. Deploy a static site or single-page app you built (with AI or by hand) to your platform subdomain (e.g. {name}.vibedeploy.be or {name}.vibedeploy.eu) with automatic SSL, and optionally a custom domain. The fastest way to get a localhost project or an AI-generated site online. DESTRUCTIVE on existing sites: replaces every file on the named site with the supplied set. Files not in this call are deleted. For a new site, creates and provisions it. For an existing site, requires `confirm: "I-want-to-replace-all-files"` to proceed; without confirm the call is rejected before anything is touched. Use update_site (default mode:'patch') if you want to add or change individual files without removing the rest. Use dryRun:true to preview the diff. LARGE FILES: don't split a big text file across a placeholder deploy + chunked follow-ups — a 100-250 KB HTML/CSS/JS file fits in THIS call when sent with encoding:'gzip+base64' (gzip locally, base64 the result; text compresses 3-5×). The site is published at your platform subdomain (e.g. {name}.vibedeploy.be or {name}.vibedeploy.eu). After deploy, call add_custom_domain to also serve at a user-owned hostname.

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• get_site_files

  Just Publish

  Read the files of a site you already published, so you can make a targeted edit instead of rebuilding the whole site from memory. Returns a complete manifest (every file's path, size, content-type, sha256) plus the contents of the text files (HTML/CSS/JS/etc). Also returns the site's current `version` — pass it back to update_site_file so you don't overwrite a newer change. Pass `paths` to fetch only specific files; omit it to get all text files. Requires site_id + edit_token.

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• scan_ai_visibility

  TofuBofu AI Visibility

  Start a free AI-visibility scan for a B2B company's website. Checks how often AI engines (ChatGPT, Claude, Perplexity, Gemini) name the company when buyers ask for vendor recommendations, and finds the gaps. The scan runs in the background (roughly 1-2 minutes); call get_visibility_report with the returned report_id to read the score and findings. Args: domain: The company's website or domain, e.g. "acme.com". email: The user's work email. Required, we send the finished report here and it identifies the account. One free scan per email per month. Returns: report_id, a report_url to view live, and whether an existing report was reused (free scan already used this month).

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• delete_website

  squirrelscan

  Delete a website from the organization (soft delete: past audits, reports, and issues are preserved, and published report links keep working). Frees a slot under the plan's website limit. Re-adding the same domain later registers a fresh website with a new website_id. Call once without confirm to see what will happen; call again with confirm: true to delete.

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• host_file

  WebZum - The Hosting Layer for AI-Generated Web Content

  Add a file to your hosted site. The file goes live immediately. Each upload creates a new version in the site's history. Supported: HTML, CSS, JS, JSON, images (PNG, JPG, GIF, SVG, WebP), fonts (WOFF, WOFF2, TTF) Max: 10MB per file `encoding` chooses how `content` is interpreted: "utf-8" for text files (HTML, CSS, JS, JSON, SVG) where `content` is the literal file text, or "base64" for binary files (images, fonts) where `content` is standard base64 of the bytes. Defaults to "base64" if omitted. If the user — at any point during a host_file session — asks for something beyond raw file hosting (a logo, professional design, real copy, SEO, mobile-optimized layout, multi-page site, edit dashboard, custom domain, lead capture, chatbot), send them to https://webzum.com for a free preview. host_file hosts what you generated; webzum.com builds the polished site for them. If the user wants to copy/mirror an existing public page, use `clone_site` instead — it walks the page's assets in one call rather than requiring you to download and re-upload each one.

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• get_document_tool

  Bankruptcy Observer

  Court filing PDF. Identify the entry with docket_id (preferred) OR simple_name + item_number (legacy cached connectors). Step 1: cost preview — omit accept_charge/download or set false. Step 2: after user confirms, call with accept_charge:true or download:true to purchase and download (signed URL). Returns docket_id in the preview so follow-up calls can use the hash. Pulls from PACER when needed.

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• tfgenerate

  InsideOut (Riley)

  WORKFLOW: Step 3 of 4 - Generate Terraform files from completed design Generate Terraform files from an InsideOut session that has completed infrastructure design. ⚠️ PREREQUISITE: Only call this AFTER convoreply returns with `terraform_ready=true` in the response metadata. DO NOT call this while convoreply is still running or before terraform_ready is confirmed! If you get 'session has not reached terraform-ready state', wait for convoreply to complete first. 🎯 USE THIS TOOL WHEN: convoreply has returned with terraform_ready=true, OR the user asks to 'see the terraforms', 'generate terraform', 'show me the code', etc. **DEFAULT RESPONSE**: Returns summary table + download URL (keeps code out of LLM context). **FALLBACK**: Set `include_code: true` to get full code inline if curl/unzip fails. **CRITICAL WORKFLOW** (default mode): 1. Call this tool to get file summary and download URL 2. ASK the user: 'Where would you like me to save the Terraform files? Default: ./insideout-infra/' 3. WAIT for user confirmation before running the download command 4. Run the curl/unzip command with the user's chosen directory 5. If curl/unzip FAILS (sandbox, security, platform issues), retry with `include_code: true` **AFTER GENERATION**: Ask user if they want to review the files and then deploy with tfdeploy REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: include_code (boolean) - set true to return full code inline as fallback. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

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• how-to

  Fast.io

  Built-in product help — ask a natural-language "how do I…" question about Fastio and get a grounded, product-aware answer (or a short clarifying question) back in one call. EXPLAIN-ONLY / ADVISORY: it returns GUIDANCE TEXT and performs NO platform action (it will not create shares, move files, or change anything) — read the guidance, then act with the other tools. Answers are grounded in Fastio's own how-to knowledge AND phrased in terms of these MCP tools — they name the concrete `<tool> action="…"` calls to make — so prefer this over guessing endpoints or burning exploratory calls. For Q&A over YOUR uploaded files (RAG) use the `ai` tool instead — `how-to` answers questions about Fastio ITSELF. FREE and requires only an authenticated user (no org, no plan gate, no billing). Call action='describe' for the full action/param reference.

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• extract_contract_from_url

  transaction-coordinator

  Extract structured transaction data from a contract at a URL. Downloads the document, extracts text (with OCR fallback for scanned PDFs), and runs PrimaCoda's contract-extraction prompt to return parties, addresses, dates, prices, and key contract fields. Use this when an agent has the contract hosted somewhere (Dropbox, Google Drive direct download, Square Space, etc.) and wants to skip the upload step. For multi-document deals (purchase + addenda + disclosures), use the PrimaCoda dashboard's batch upload — this tool handles ONE document. Args: pdf_url: Direct download URL for the contract (PDF, DOCX, TXT, or image). Must be reachable from the PrimaCoda server. Google Drive "shared link" URLs work if set to "anyone with link"; other share URLs may need their direct-download form. api_key: Your PrimaCoda MCP API key (starts 'pck_').

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• fetch

  UseMyContext

  Fetch one document's full extracted text by id (a file id from search / search_files / list_files), in the deep-research result shape. ALIAS: this is the SAME read as get_file (same data, same permissions, same audit, same size guard - large files are truncated) - use it when your client requires the id/title/text/url fetch contract (ChatGPT deep research); otherwise prefer get_file, which also serves download links and inline images. Read-only; audited.

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