Figma Context MCP
by GLips
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Runs on your computer★ 16,165MITUpdated 5 months ago
Install
ClipOnIt
Overview
Description from the maker (original English)
Long video to captioned 9:16 shorts, plus AI explainer videos from a topic or voice. 70 tools.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: Streamable HTTP
- Category: Design, images & audio
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 3 of 3 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://cliponit.app/mcpRun this in your terminal
claude mcp add --transport http cliponit https://cliponit.app/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"cliponit": {
"url": "https://cliponit.app/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"cliponit": {
"type": "http",
"url": "https://cliponit.app/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://cliponit.app/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
The server asks you to sign in before it lists its tools.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account MattJeff, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- ✓ Pass
Endpoint responds
Responded in 162 ms (HTTP 401)
- ✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Design, images & audioi
- More stars than 0% of the other 2192 servers in this category
- Published to the registry more recently than 78% of the other 2192 servers in this category
- Basic checks equal to or better than 100% of the other 2192 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is ClipOnIt safe?
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 8 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Claude Real Video
by HUANGCHIHHUNGLeo
Let any LLM watch a video locally — and search everything it has ever watched.
Runs on your computer★ 2,284MITUpdated 2 months ago
Install
Figma MCP Server
by figma
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Runs in the cloud★ 2,152Updated 13 months ago
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
ClipOnIt MCP Server
Turn a long video into short, subtitled, auto-reframed clips — and make AI explainer videos from a topic or a voice-over — driven from Claude, ChatGPT, or any MCP client. 70 tools.
ClipOnIt is a hosted video clipping service. This repository documents its remote MCP server, so that an AI assistant can run both products on your behalf:
- Clipping — import a video, find the best moments, reframe on faces, add word-by-word subtitles, and export vertical clips.
- Explainer videos — go from an idea, a script or a voice-over to an animated explainer built from a library of nearly 11,000 elements, then critique, polish and render it.
Endpoint: https://cliponit.app/mcp (Streamable HTTP)
Connect
Claude.ai / Claude Desktop — Settings → Connectors → Add custom connector → paste https://cliponit.app/mcp → Connect → sign in → Authorize.
Claude Code
claude mcp add --transport http cliponit https://cliponit.app/mcpThen /mcp → Authenticate.
ChatGPT — Settings → Connectors → Developer mode → Create → URL https://cliponit.app/mcp → OAuth.
Anything else — the server speaks JSON-RPC 2.0 over HTTP POST and advertises OAuth 2.1 metadata at /.well-known/oauth-protected-resource.
Authentication
OAuth 2.1 with PKCE (S256). Clients identify themselves with a Client ID Metadata Document (an HTTPS client_id URL) or register through Dynamic Client Registration (RFC 7591) — no manual key needed. An API key (Authorization: Bearer ck_…, created from the billing page) works too for scripts. API and MCP access are included from the Starter plan.
Tools
| Area | Tools |
|---|---|
| Videos | list_videos · upload_video_file · import_video_url · get_video · wait_video · delete_video |
| Clips | find_moment · get_clip · delete_clip · set_clip_bounds · snap_clip_to_words · get_transcript |
| Editing | update_clip_edit · set_default_subtitles · auto_reframe · auto_zoom · detect_silences · describe_clip |
| Export | export_clip · export_all_clips · get_export · wait_export · cancel_export · get_export_frame |
| Account | get_quota |
| Explainer — plan | explainer_idea · explainer_storyboard · explainer_styles · explainer_templates · explainer_schema · explainer_check |
| Explainer — elements | explainer_library · explainer_browse · explainer_search_elements · explainer_suggest_elements · explainer_describe_elements · explainer_library_elements · explainer_my_elements · explainer_create_element · explainer_library_add_element · explainer_forge |
| Explainer — build | explainer_compose · explainer_produce · explainer_assist · explainer_variants · explainer_critique · explainer_polish · explainer_preview · explainer_versions |
| Explainer — voice | explainer_import_audio · explainer_audio_status · explainer_audio_list · explainer_compose_from_audio · explainer_narrate · explainer_retake |
| Explainer — render | explainer_render · explainer_wait · explainer_export · explainer_job_status · explainer_job_wait · explainer_jobs · explainer_job_cancel |
| Explainer — library | explainer_list · explainer_delete · explainer_my_templates · explainer_template_save · explainer_template_run · explainer_taste_get · explainer_brand_get · explainer_brand_set |
Formats: 9:16, 16:9, 1:1 and 4:5, each with its own independent edit. Subtitles come in five styles, word by word.
Example
"Take my last uploaded video, find the 5 best moments, reframe them on the speaker, add yellow karaoke subtitles, and export them in 9:16."
The assistant chains list_videos → get_video → auto_reframe → update_clip_edit → export_clip → wait_export and hands back the MP4 links.
"Make a 60-second explainer about how our onboarding works, in our brand colors, with a voice-over."
The assistant chains explainer_idea → explainer_produce → explainer_job_wait → explainer_critique → explainer_polish → explainer_render → explainer_wait.
Links
- Web app — https://cliponit.app
- API reference (OpenAPI 3.1) — https://cliponit.app/openapi.json · interactive: https://cliponit.app/docs
- Plain-text summary for LLMs — https://cliponit.app/llms.txt
- Discovery manifest — https://cliponit.app/.well-known/mcp.json
License
The contents of this repository (documentation and server manifest) are released under the MIT License. The ClipOnIt service itself is a hosted product; see https://cliponit.app/terms.