mcpbeat

Clipform MCP Server

io.github.Clipform/mcp-server
answering

Clipform is answering right now. Last checked 10 min ago. 382 installs a week from npm. It exposes 30 tools. Last commit 26 Jul 2026.

Interactive video forms that capture authentic responses. Build engaging forms in minutes.

Installs per day peak 485 · avg 117 · -68% w/w
a month agotoday
Uptime history 40 hours of history
40 hours agonow
100.0%
Uptime 24h
91 of 91 checks
30
Tools
read from the server
533 ms
Response time
average over 24h
382
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

run in your terminal
claude mcp add mcp-server --transport http https://mcp.clipform.io
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-server": {
      "url": "https://mcp.clipform.io"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-server]
url = "https://mcp.clipform.io"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-server": {
      "url": "https://mcp.clipform.io"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp-server": {
      "url": "https://mcp.clipform.io"
    }
  }
}

Available tools 30

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

clipform
clipform_add_node
Add a new node to an existing form. Inserted before the end screen by default; after_node_id controls insertion position. Node types and config schemas match clipform_create_form.
clipform_attach_node_media
Attach an existing workspace media asset (from clipform_upload_media_asset) to one or more nodes (max 10). Pass one item or many; multiple items attach sequentially. Only works on node types that support media (choice, open, scale, draw, binary, button). A media asset is reusable - attach the same media_asset_id to several nodes.
clipform_check_render
Check the status of render jobs started by clipform_generate_video, clipform_render_video_template, or clipform_render_composition. Pass job_ids to check a whole batch in ONE call - one line of status per job. Pass job_id for a single job. Returns the output URL for each completed render. Typical render time: 10-60 seconds. Attach is automatic when node_id was provided to the render tool - no need to poll to completion, and the attach outcome is reported here once known.
clipform_complete_media_upload
Confirm a signed-PUT still image upload finished, after PUTting the bytes to the upload_url returned by clipform_upload_media_asset. The API verifies the object actually landed in storage before flipping the asset from processing to ready - call this right after the PUT succeeds, or the asset stays invisible in the library. Not needed for video uploads (TUS/Mux settle automatically).
clipform_create_form
Create a new Clipform (interactive video-style form). Returns a viewer URL and form ID. When connected via an authenticated MCP client (e.g. claude.ai), the form lands directly in the user's workspace. Anonymous sessions get a claim URL to transfer ownership later. Node types (omit config to use defaults where shown): - choice: Single or multiple choice node with predefined options (supports options array). Config: choice ({enable_branching, show_answer_feedback, record_scores}), selection_mode ("single"|"multiple", default: "single"), allow_text_response (boolean, default: false), randomise_options (boolean, default: false), show_option_count (boolean, default: false), option_display ("list"|"letters", default: "list"). Defaults: {"selection_mode":"single","choice":{"enable_branching":false},"randomise_options":false,"show_option_count":false,"option_display":"list"} - open: Free-form text responses from users. Config: formats (array of {format, order}). Defaults: {"formats":[{"order":0,"format":"text"},{"order":1,"format":"audio"},{"order":2,"format":"video"}]} - details: Collect several fields on one screen - name, email, phone, address, date, and more. Config: title (string), fields (array of {id, type, label, order, required, is_custom}), description (string), consent_items (array of {id, name, label, order, type}), Available field IDs: first_name, last_name, email, phone. Defaults: {"fields":[{"id":"first_name","type":"first_name","label":"First Name","enabled":true,"required":true},{"id":"email","type":"email","label":"Email","enabled":true,"required":true}],"consent_items":[]} - button: Simple button for acknowledgment or navigation (supports options array). Config: button_text (string, default: "Continue"), button_style ("primary"|"secondary"|"outline", default: "primary") - redirect: Redirect users to an external URL. Config: url (string), auto_redirect (boolean, default: true). Defaults: {"url":"","auto_redirect":true} - file_download: Provide a file for respondents to download. Config: files (array of {file_name, display_name, file_path, file_size, mime_type}), button_text (string, default: "Continue"), description (string) - end_screen: Final screen shown when form is completed. Config: title (string, default: "Thank you!"), message (string, default: "Your response has been submitted."), show_score (boolean, default: false), icon ("tick"|"trophy"|"star"|"crown"|"party"|"none", default: "tick"), show_share_button (boolean, default: false), cta_type ("none"|"restart"|"external_link", default: "none"), cta_text (string, default: "Continue"), cta_url (string), score_ranges (array of {min, max, title, message}), scoring_results (array of {category, title, message, cta_url, cta_text}) All type definitions and config schemas are derived from @vid-master/config (node-types). Refer to the config descriptions above for the correct keys and shapes. AI-PROTECTED parameters have restrictions noted in their descriptions. Example: A form that asks a question, collects contact info, then finishes: { title: "Quick Survey", nodes: [ { type: "open", prompt: "What's your biggest challenge?" }, { type: "details", prompt: "Leave your details", config: { fields: [{ id: "first_name", required: true }, { id: "email", required: true }] } }, { type: "end_screen", prompt: "Thanks for your response!" } ] }
clipform_delete_form
Permanently delete a form and all its nodes. This cannot be undone. Requires user confirmation before it runs.
clipform_delete_node
Delete a node from a form. The logic chain is automatically re-linked (the previous node will point to the next one). Cannot delete the start node or the last end screen. Requires user confirmation before it runs.
clipform_delete_node_media
Remove media from a node. Deletes the media record and cleans up external resources (Mux video asset, storage file). Requires user confirmation before it runs.
clipform_fetch_boundary
Fetch a GeoJSON boundary polygon for a country, city, or region. Returns simplified GeoJSON ready to use as the 'boundary' prop in the Map composition. mainlandOnly excludes small islands and overseas territories (e.g. Corsica for France, Hawaii for USA).
clipform_generate_tts
Generate narration audio from text with word-level captions. Use this for quiz question narration, survey introductions, form instructions, or any node that benefits from a human voice. Proactively suggest narration for quizzes and content-rich forms - it significantly improves engagement. Available voices: ryan (British male, clear), sonia (British female, warm), andrew (American male, smooth), ava (American female, vibrant), guy (American male, deep). Pick ONE voice that fits the topic - e.g. a London quiz gets ryan or sonia, a US sports quiz gets andrew or guy - and reuse that SAME voice for every item and every call across the whole form. Never mix voices within one form unless the user explicitly asks for multiple voices. Use the tone parameter to direct HOW the voice speaks. Always set a tone that matches the form's mood - e.g. quizzes: "Energetic and playful, like a quiz show host teasing the audience", surveys: "Professional but warm, encouraging honest answers", personality quizzes: "Curious and reflective". This dramatically improves the narration quality. Pass one item or many (max 10) - multiple items run in parallel. Returns audio URL and word-level captions per item.
clipform_generate_video
Generate a video from images, video clips, or both, synced to an audio track. Use this for narrated question backgrounds, topic visualisations, or any form node that benefits from video. Combine with clipform_generate_tts for narrated audio and clipform_search_media for royalty-free images. Creates 9:16 (720x1280) with Ken Burns pan/zoom effects and transitions. Returns a public URL when complete. Items: type "image" (Ken Burns motion) or "video" (cover-cropped, muted by default). Duration matches audio_url or set duration_seconds explicitly. For multi-question builds, pass wait: false on every render: each call returns a job ID immediately, so all renders run in parallel - then collect URLs with clipform_check_render. Sequential waiting renders take 15-120 seconds EACH. Choosing a render tool: for a recognisable form/quiz beat (guess-the-city, this-or-that, mystery reveal, multiple choice, photo montage...) reach for a video template first (clipform_list_video_templates + clipform_render_video_template) - it is a one-call recipe. Use clipform_generate_video for a narrated or audio-synced media montage (images/clips timed to a voice track). Use clipform_render_composition only when neither fits and you need a custom layer stack. Montage disambiguation: choose clipform_generate_video when the montage is narrated or synced to an audio track; choose the slideshow video template when it is silent (motion + transitions only, no voice-over). A render for a form node is not done until it is attached to that node. Pass node_id (and form_id) so the completed render attaches itself automatically - do not poll clipform_check_render to completion or manually chain clipform_upload_media_asset + clipform_attach_node_media; fire the render and move on.
clipform_get_form
Retrieve a form's details including all nodes in sequential order. Returns title, settings, and every node with its options, config, and media status.
clipform_get_guide
Retrieve craft knowledge for building a specific form type. Returns question psychology, difficulty curves, narration style, scoring setup, and writing principles as markdown. Does NOT return a step-by-step build workflow - use clipform_get_workflow for that. Available types: quiz, survey, interview, funnel, testimonial, application, booking. Aliases also accepted: trivia → quiz, test → quiz, exam → quiz, feedback → survey, poll → survey, nps → survey, questionnaire → survey, case-study → interview, callout → interview, lead-gen → funnel, qualification → funnel, lead-magnet → funnel, story → testimonial, review → testimonial, job-application → application, admission → application, enrollment → application, grant → application, registration → booking, signup → booking, event → booking, rsvp → booking, workshop → booking. Quiz variants (optional): personality, comprehension, composition - appends variant-specific addendum to the base quiz guide.
clipform_get_node_media
Get the media attached to a node, including processing status. Useful for checking if a video upload has finished processing.
clipform_get_workflow
Retrieve a step-by-step build workflow for creating a specific form type. Returns the exact tool sequence, form settings, node configuration, scoring setup, and end screen config as a build recipe. Does NOT return craft knowledge (question psychology, difficulty curves, narration style) - use clipform_get_guide for that. Available types: quiz, survey, interview, testimonial, application, booking. Aliases also accepted: trivia → quiz, test → quiz, exam → quiz, feedback → survey, poll → survey, nps → survey, questionnaire → survey, case-study → interview, callout → interview, lead-gen → funnel, qualification → funnel, lead-magnet → funnel, story → testimonial, review → testimonial, job-application → application, admission → application, enrollment → application, grant → application, registration → booking, signup → booking, event → booking, rsvp → booking, workshop → booking. Quiz variants (optional): personality, comprehension, composition - returns the variant-specific workflow instead of the base quiz workflow. Optional args by type: - quiz: topic, question_count (8) - quiz (variant: personality): topic, categories, question_count (8) - quiz (variant: comprehension): youtube_url, question_count (8), audience - interview: purpose, response_format (all), needs_consent (true) - survey: topic, anonymous (true) - funnel: outcomes, criteria, needs_contact (true) - testimonial: use_case - application: role - booking: event_name, event_type
clipform_list_assets
List available creative assets (sound effects, animations, fonts) for video compositions.
clipform_list_compositions
Browse available video compositions and their expected props schemas. Call this before using clipform_render_composition to discover visual styles and their input props. For narrated slideshows from images, use clipform_generate_video instead.
clipform_list_forms
List forms in your workspace with optional filtering. Returns paginated results (cursor-based). next_cursor is included when more results exist.
clipform_list_video_templates
Browse available video templates - curated Scene arrangements (bed + overlay + sane defaults) that render through the Scene composition from a small controls object. Call this before clipform_render_video_template to see template names and their exposed controls. For a fully custom layer stack, assemble Scene layers directly via clipform_render_composition instead.
clipform_log_generation
Save an audit trail for a generated form. Records where content came from - the sources and image attributions.
clipform_render_composition
Render a specialised video composition to MP4 or PNG - custom animated visuals that clipform_generate_video can't provide, such as geography animations or designed motion graphics. Available composition names and their required input props schemas come from clipform_list_compositions. For narrated Ken Burns slideshows from images, use clipform_generate_video instead. Output formats: mp4 (H.264, best for social media) or png (single frame). Returns a public URL when complete. For multi-render builds (e.g. one clip per quiz question), pass everything in ONE call via items (max 10): all renders fire in parallel and you get one job ID each - then collect the URLs in a single clipform_check_render call with job_ids. Single render: pass compositionId/inputProps at the top level (wait: true blocks and returns the URL; wait: false returns a job ID). Choosing a render tool: for a recognisable form/quiz beat (guess-the-city, this-or-that, mystery reveal, multiple choice, photo montage...) reach for a video template first (clipform_list_video_templates + clipform_render_video_template) - it is a one-call recipe. Use clipform_generate_video for a narrated or audio-synced media montage (images/clips timed to a voice track). Use clipform_render_composition only when neither fits and you need a custom layer stack. A render for a form node is not done until it is attached to that node. Pass node_id (and form_id) so the completed render attaches itself automatically - do not poll clipform_check_render to completion or manually chain clipform_upload_media_asset + clipform_attach_node_media; fire the render and move on. In batch mode, set node_id per item (see items) and form_id once at the top level.
clipform_render_video_template
Render a curated video template (a pre-arranged Scene: bed + overlay + sane defaults) to MP4 or PNG from a small controls object, instead of hand-assembling Scene layers. Call clipform_list_video_templates first for available template names and their controls. Renders through the Scene composition under the hood. Choosing a render tool: for a recognisable form/quiz beat (guess-the-city, this-or-that, mystery reveal, multiple choice, photo montage...) reach for a video template first (clipform_list_video_templates + clipform_render_video_template) - it is a one-call recipe. Use clipform_generate_video for a narrated or audio-synced media montage (images/clips timed to a voice track). Use clipform_render_composition only when neither fits and you need a custom layer stack. A render for a form node is not done until it is attached to that node. Pass node_id (and form_id) so the completed render attaches itself automatically - do not poll clipform_check_render to completion or manually chain clipform_upload_media_asset + clipform_attach_node_media; fire the render and move on.
clipform_search_media
Search images or stock video clips. Pass one query or many (max 10) - multiple queries run in one call instead of separate tool calls. Use results to feed into clipform_generate_video for narrated slideshow videos, or upload directly as still images via clipform_upload_media_asset then clipform_attach_node_media. All results are pre-cleared for commercial use. Results include a description (alt text where the provider has it) - use it to pick visually distinct images. Example: { queries: [{ query: "saturn rings" }, { query: "mars surface", count: 3 }] } returns portrait images for both.
clipform_search_music
Search for royalty-free music tracks and ambient sounds. Quiz forms especially benefit from background music - it keeps energy up between questions. Also consider it for multi-step surveys and longer forms. Pass the returned URL as the audio track to clipform_generate_video, or as the audio for the slideshow video template via clipform_render_video_template. Returns download URLs, duration, artist, and license info.
clipform_search_news
Fallback news lookup for clients without native web search. Returns structured current-news articles from NewsAPI and The Guardian. Coverage: recent events, people, and topics (post-May-2025). Does NOT cover timeless topics (history, geography, science). Narrower and less current than native web search tools (WebSearch, web fetch) when available. Returns: article title, source, author, date, URL, description, and image URL per result.
clipform_set_logic
Set routing logic on one or more nodes. Pass multiple nodes in one call instead of separate tool calls. Linear routing (A to B to C) is supported. NOTE: Conditional branching (different paths based on which option is picked) is a planned feature - do not create conditional branching paths. Each rule maps an option (by its text content) to a target node. Rules without option_content are "default" rules applied to all unmatched options. Example: nodes: [ { node_id: "q1-id", rules: [{ target_node_id: "q2-id" }] }, { node_id: "q2-id", rules: [{ target_node_id: "q3-id" }] } ]
clipform_update_form
Update a form's title, publish status, settings, or tags. Only sends fields that are provided - omitted fields remain unchanged. AI-PROTECTED parameters have restrictions noted in their descriptions.
clipform_update_node
Update one or more existing nodes' text, type, config, or options. Pass multiple updates in one call instead of separate tool calls. Requires node IDs (returned by clipform_create_form, clipform_add_node, or clipform_get_form). Does not change node positions in the flow. All type definitions and config schemas are derived from @vid-master/config (node-types).
clipform_upload_media_asset
Put one or more media files into your workspace media library (max 10, uploaded sequentially). This is step one of attaching media to a node - follow up with clipform_attach_node_media to place the returned media_asset_id on a node. When a public URL is provided, the media is fetched and stored automatically. For video: ingested via Mux. For image: stored in Supabase. Captions from clipform_generate_tts enable per-word highlighting in the viewer once attached.
clipform_youtube_transcript
Extract the transcript, title, and channel info from a YouTube video. Returns the full transcript text plus metadata (title, channel, duration). Supports any public YouTube video with captions enabled. Does NOT work for private/age-restricted videos, videos with captions disabled, or non-YouTube URLs.

Endpoints

URLTransportStateLatencyChecked
https://mcp.clipform.io streamable-http answering 683 ms 10 min ago

Clipform — questions

Answers built from our own checks of this server.

What can Clipform do?
It exposes 30 tools, read directly from the server on our last check. Among them: clipform_add_node, clipform_attach_node_media, clipform_check_render, clipform_complete_media_upload, clipform_create_form, clipform_delete_form and 24 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Clipform working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 533 ms. The bar chart above shows every period we have measured.
How do I connect Clipform?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Clipform need an API key?
No. Clipform completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 30 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Clipform?
It answers our handshake in 533 ms on average, which is faster than 20% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Clipform?
The npm package @clipform/mcp-server was installed 382 times in the last week. Week over week that is -68%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Clipform open source?
Yes — 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.