Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
AI video editor for real footage: cut, caption, reframe, add music and b-roll, preview, export MP4.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://valmera.io/mcp/serverRun this in your terminal
claude mcp add --transport http video-editor https://valmera.io/mcp/serverPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"video-editor": {
"url": "https://valmera.io/mcp/server"
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"video-editor": {
"type": "http",
"url": "https://valmera.io/mcp/server"
}
}
}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:
https://valmera.io/mcp/serverMenu names can differ slightly by plan and over time.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
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
The registry name was verified against the domain valmera.io (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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.
The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 32 days ago.
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.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
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
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
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.
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.
The world's most advanced AI video editor. [Start editing](https://valmera.io/chatgpt-video-editor?utm_source=valmera_mcp_docs&utm_medium=repository&utm_campaign=mcp_chatgpt_workflow#first-brief). Join thousands of creators. Bring your footage, describe the result, and refine the edit through conversation.
Valmera is an agentic AI video editor. This hosted Model Context Protocol server lets Claude, ChatGPT, Gemini CLI, Cursor, VS Code, Codex or any MCP client edit video you already recorded. The assistant reads the transcript and frames, then cuts silences and filler words, adds word-timed captions, reframes to 9:16, adds b-roll, music and sound effects, and makes shorts from long videos. It renders a preview, watches the result, and exports a full-quality MP4 from your original file.
[Connect your assistant](https://valmera.io/mcp/connect?utm_source=valmera_mcp_docs&utm_medium=repository&utm_campaign=mcp_chatgpt_workflow) · [Open an editing brief in Valmera](https://valmera.io/chatgpt-video-editor?utm_source=valmera_mcp_docs&utm_medium=repository&utm_campaign=mcp_chatgpt_workflow#first-brief) · [ChatGPT first-edit walkthrough](docs/CHATGPT.md)
Comparing editors? Use the edit-and-revise evaluation kit: the same source footage, exact prompts, expected source ranges and a blank evidence scorecard.
Start with your own footage and an editing goal. Use the public interactive editing brief builder, then follow the creator workflow briefs for your first project.
Endpoint https://valmera.io/mcp/server
Transport Streamable HTTP Auth OAuth 2.1 (dynamic client registration + PKCE S256), or a bearer token from https://valmera.io/mcp Registry io.valmera/video-editor
Want to see the output first? Inspect a real edit below, or follow the client-specific connection instructions here.
Settings → Connectors → Add custom connector → name it Valmera. Paste https://valmera.io/mcp/server and sign in when prompted. Step-by-step guide.
claude mcp add --transport http valmera https://valmera.io/mcp/server
Then run /mcp inside Claude Code and choose Authenticate. Guide.
~/.cursor/mcp.json{
"mcpServers": { "valmera": { "url": "https://valmera.io/mcp/server" } } }
.vscode/mcp.json{
"servers": { "valmera": { "type": "http", "url": "https://valmera.io/mcp/server" } } }
~/.codeium/windsurf/mcp_config.json{
"mcpServers": { "valmera": { "serverUrl": "https://valmera.io/mcp/server" } } }
Add Valmera as a custom MCP server with OAuth at https://valmera.io/mcp/server, complete sign-in, and install the resulting plugin. Select Valmera with @ in a new conversation. Account and workspace permissions apply. Connection and first-edit walkthrough · Guided setup.
For the connection plus guided setup and three editing workflows, see the ChatGPT and Codex plugin package. The repository supplies a marketplace for supported local clients; public Directory approval is separate.
codex mcp add valmera --url https://valmera.io/mcp/server
codex mcp login valmera
Or add [mcp_servers.valmera] with url = "https://valmera.io/mcp/server" to ~/.codex/config.toml.
gemini mcp add --transport http valmera https://valmera.io/mcp/server
Then open Gemini CLI, run /mcp auth valmera and sign in.
See the Gemini CLI editing guide for the current account requirements and a first-edit walkthrough.
Use the native Valmera plugin for the hosted connection and three editing skills. It includes a pinned installation command, a first-edit prompt and an alternative workspace MCP configuration. Antigravity uses serverUrl in .agents/mcp_config.json; do not copy the Gemini CLI configuration unchanged.
{
"mcpServers": { "valmera": { "command": "npx", "args": ["-y", "mcp-remote", "https://valmera.io/mcp/server"] } } }
There are more clients (Zed, Cline, Continue, Goose, LibreChat, MCP Inspector) in docs/CLIENTS.md.
First message to try: *"List my Valmera projects."* An empty list still means the connection works.
This published Valmera shorts example turns selected footage from a 49-minute talk into a 33.24-second vertical story. Compare the same opening before styling and after framing, captions, graphics and color:
| Selected footage before styling | Styled vertical excerpt |
|---|---|
Click either image to play its silent 9.2-second excerpt. The first clip already has its source ranges selected; it is not the uncut recording. Watch the complete export with sound to inspect the speech and joins. That historical file lasts approximately 38.27 seconds including its branded ending; its branding does not establish current plan terms.
The complete editing walkthrough includes four intermediate stages, the seven-cut map, the operation record and unresolved review notes. This demonstrates a Valmera shorts workflow, not a timed MCP-client test, a claim that one literal prompt produced every step, or a competitor benchmark.
Footage: The End of the Future with Peter Thiel, Stanford Classical Liberalism Initiative. Neither the speaker nor the source organization is presented as a Valmera customer or endorser.
For a repeatable test on your own shortlist, use the edit-and-revise evaluation kit. For your own recording, start with a creator workflow brief.
For a standalone ZIP, connection steps and a first-edit brief, use the Claude plugin guide and version 1.0.2 release. This repository release does not imply approval in Anthropic's public directory.
This repository is also a Claude plugin. It bundles the Valmera connector with three skills that teach Claude a reliable editing workflow: edit-video-with-valmera, turn-long-video-into-shorts and website-demo-video.
In Claude Code:
/plugin marketplace add ABO3SKRALMASAOODI/valmera-mcp
/plugin install valmera@valmera
In claude.ai, go to Customize → Plugins → Add → Add marketplace and enter ABO3SKRALMASAOODI/valmera-mcp. The skills follow the open Agent Skills format, so other agents that read SKILL.md can use them too.
The skills are MIT-licensed Markdown instructions; the hosted editing service requires its own authenticated account and paid editing plan. Installing a skill does not connect MCP or start a paid job.
With Node.js 22.20 or later, install the editing skill into the current project using the pinned Skills CLI:
npx skills@1.7.6 add ABO3SKRALMASAOODI/valmera-mcp@v1.0.1 --skill edit-video-with-valmera -a codex
Use -a claude-code or -a cursor for those clients. Select turn-long-video-into-shorts or website-demo-video instead when that matches the job. Then connect and authenticate Valmera. The skill prompts the assistant to discover current tool schemas, establish the scope and cost expectations, review a preview, and export the approved version.
For an actual result, see the trim-and-reframe example: original motion-graphic footage, selected source ranges, a square crop and the rendered export.
Use the live server card and your client's current tool discovery for the available tools. Valmera evolves frequently; the examples below explain the workflow rather than fixing a permanent tool count. The reference is in docs/TOOLS.md.
| You ask for | Tools the assistant uses |
|---|---|
| "Remove the dead air and the ums" | find_silences, cut_silences, remove_filler_words, get_kept_transcript |
| "Cut the part where I talk about pricing" | search_transcript, cut_range, restore_range |
| "Add bold word-by-word captions" | add_captions, set_caption_style, set_caption_fixes, audit_captions |
| "Make it vertical for TikTok and keep my face centered" | auto_reframe, set_frame, add_aspect_shift |
| "Turn this podcast into 5 shorts" | make_shorts, shorts_status, open_short, apply_short_edit_batches |
| "Add b-roll where I mention the product" | research_broll, search_stock, add_stock_media, insert_media |
| "Punch in on the important lines" | suggest_emphasis, punch_in_on_emphasis, add_zoom, add_zoom_path |
| "Put my track (or a song I name) under my voice" | find_song, fetch_url, add_music, set_music_fit, beat_align_cuts, set_master_loudness |
| "Add a whoosh on each transition" | search_sfx, audition_sfx_candidates, add_sfx |
| "Record a demo of my website" | record_website, record_website_demo, enhance_cursor, showcase_demo |
| "Blur the license plate" / "remove the burned-in subtitles" | blur_region, find_burned_text, erase_burned_text, erase_region |
| "Color grade it warmer" | set_color_grade, apply_look, set_grade_custom |
| "Show me what you changed" | render_preview, wait_for_job, watch_video, look_at |
| "Export the final video" | export_final, wait_for_job, download_url |
upload_start and upload_finish from a client that can send files. Check the current upload requirements in Studio and the upload documentation.index_status reports progress.render_preview renders a fast proxy preview. watch_video and look_at let the assistant inspect the frames it produced before it reporOnly the beginning is shown; read the rest in the repo