Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
제작자가 쓴 설명(영어 원문)
150+ image, video and audio models. Quote before you generate; pay as you go.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.evolink.ai/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http evolink https://mcp.evolink.ai/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"evolink": {
"url": "https://mcp.evolink.ai/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"evolink": {
"type": "http",
"url": "https://mcp.evolink.ai/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.evolink.ai/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 evolink.ai 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.7)은 9일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
The Figma MCP server brings Figma design context directly into your AI workflow.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Use 150+ image, video and audio models (Seedance, Kling, Veo, Sora, GPT Image, Nano Banana, Suno and more) from your AI assistant. This repository packages EvoLink's remote MCP server, https://mcp.evolink.ai/mcp, with a skill that teaches the assistant to find a model, quote the price and generate only after you confirm.
One command adds EvoLink and signs you in (run it in your terminal, or type ! in Claude Code and paste it):
claude mcp add --transport http --scope user evolink https://mcp.evolink.ai/mcp && claude mcp login evolink
Your browser opens the EvoLink sign-in page; approve, then reopen Claude Code. On Windows PowerShell 5, replace && with ;.
To get the skill as well, install the plugin instead (run /reload-plugins if Claude Code asks you to), then type /mcp, choose evolink and select Authenticate:
/plugin marketplace add Evolink-AI/mcp-plugin
/plugin install evolink@evolink
One command; Codex 0.77 or later opens the browser sign-in by itself:
codex mcp add evolink --url https://mcp.evolink.ai/mcp
Run codex mcp login evolink only if the output says the server "may or may not require login" or no browser opens.
Or install the plugin, which also adds the skill, then sign in with codex mcp login evolink:
codex plugin marketplace add Evolink-AI/mcp-plugin
codex plugin add evolink@evolink
After signing in, ask the assistant to call EvoLink’s check_balance in the current conversation. If it succeeds, keep using it. Only if tools are missing, exit the CLI and run codex resume --last; in the Codex app, start a new chat and restart if needed.
To let Codex do the setup, send it this prompt:
Set up EvoLink in Codex for me so I can generate images, videos and audio from here.
npx skills add Evolink-AI/mcp-plugin -g -y. Then run npx skills ls -g -a codex to verify evolink-mcp from its output.codex mcp add evolink --url https://mcp.evolink.ai/mcp. It starts the sign-in in my browser; if no browser opens, give me the link it prints.codex resume --last; in the Codex app, start a new chat, then restart the app if needed.After a successful check, tell me it is ready. Use EvoLink by default for media generation; quote each paid task and wait for my explicit approval.
Add to Cursor, then find evolink in Cursor's MCP settings and click Connect to sign in. Or add this to ~/.cursor/mcp.json:
{
"mcpServers": { "evolink": { "url": "https://mcp.evolink.ai/mcp" } } }
With the Cursor CLI, sign in with agent mcp login evolink after adding the config.
Native remote setup, browser sign-in, and free verification steps are documented in llms-install.md. Use Streamable HTTP and keep tool approval prompts enabled. Adding the MCP connection is separate from installing the optional companion skill.
Install the extension from this repository:
gemini extensions install https://github.com/Evolink-AI/mcp-plugin
Review the extension permissions, then open Gemini CLI and use /mcp to inspect evolink. If authentication is required, run /mcp auth evolink and sign in to EvoLink in the browser. This remote connection needs no EvoLink CLI or API key. If you already configured a server named evolink in your Gemini settings, that configuration takes precedence; check it before adding another connection.
Verify actual free check_balance and search_models calls before generating. Connection and discovery are free; generation uses your EvoLink balance. Review an estimate and approve each paid request. Setup issues: support@evolink.ai.
hermes mcp add evolink --url https://mcp.evolink.ai/mcp --auth oauth --connect-timeout 300
The browser sign-in opens by itself; press Enter when asked to enable the tools, then /reload-mcp in an open session. (Based on Hermes' documentation; not tested by us yet.)
Run on the machine that hosts the OpenClaw Gateway, then open the printed link to sign in:
openclaw mcp add evolink --url https://mcp.evolink.ai/mcp --transport streamable-http --auth oauth && openclaw mcp login evolink
(Based on OpenClaw's documentation; not tested by us yet.)
Add to Claude opens the Add custom connector dialog with the name and URL filled in. Click Add, then Connect, and sign in to EvoLink. Claude's Free plan can add one custom connector.
npx skills add Evolink-AI/mcp-plugin
This installs the evolink-mcp skill for agents that support skills. Add the MCP server in your client as shown above; the skill alone cannot generate anything.
evolink-mediaInstall the new skill first and check that evolink-mcp appears in your agent. For a standalone global install, remove the old skill with npx skills remove evolink-media -g -y. Back up any personal edits first. For a plugin-managed skill, update the plugin through its client instead. Do not add a second MCP connection; the server name stays evolink.
| Tool | What it does | Cost |
|---|---|---|
search_models | Find image, video and audio models by type and keywords | Free |
recommend_models | Compare models for your request and reference types, with reasons | Free |
search_docs | Search the bundled official model references: names, IDs and parameter descriptions | Free |
get_model | See a model's parameters and prices | Free |
estimate_cost | Get a quote before generating | Free |
get_pricing_rules | Read the public default pricing rules an estimate is based on (reference rates, no account discounts) | Free |
generate_image | Generate images | Model price |
generate_video | Generate video | Model price |
generate_audio | Generate music, songs or speech | Model price |
get_task | Check a task's progress and results | Free |
list_tasks | List recent tasks | Free |
get_task_usage | Summarize the cost of completed tasks over a period; bounded, not an invoice | Free |
check_balance | See your balance and what MCP has spent | Free |
upload_file | Store a public link or a file under 1 MB on EvoLink and get a link for generation | Free |
prepare_upload | Get a one-time upload URL for a local file up to 95 MB | Free |
get_upload | Check a one-time upload and get the file link | Free |
The hosted server can't read paths on your computer. Give reference files as public links, pass files under 1 MB directly, or let an assistant that can run commands (Claude Code, Codex, Cursor) upload a local file of up to 95 MB with prepare_upload. Uploads are free and deleted after 72 hours.
The evolink-mcp skill instructs the assistant to use EvoLink by default for media generation and editing, including variations and regeneration. It should ask before switching to another provider unless you explicitly requested it.
Before a paid task, the assistant should quote the exact settings and wait for explicit approval. Only your explicit approval of a task or batch with a sufficient budget allows it to continue without asking again; the assistant’s suggested budget is not approval. Partial or unknown costs must be explained before you decide to proceed. New generations outside an approved batch need a new confirmation.
These are assistant instructions, not a server-side approval gate. Client tool approval prompts depend on your settings. In Codex, set approval_mode = "prompt" under each [mcp_servers.evolink.tools.generate_image], [mcp_servers.evolink.tools.generate_video] and [mcp_servers.evolink.tools.generate_audio] entry if you want a tool prompt for every paid call.
EvoLink MCP (OAuth), shared by all your assistants.| Path | Used by |
|---|---|
.claude-plugin/marketplace.json, .claude-plugin/plugin.json, .mcp.json | Claude Code |
plugin.json, mcp.json (Agent Plugins) | Codex, Cursor |
.agents/plugins/marketplace.json | Codex |
.cursor-plugin/plugin.json | Cursor |
skills/evolink-mcp/SKILL.md | All of the above, and npx skills add |
server.json | The official MCP Registry entry ai.evolink/mcp |
gemini-extension.json, GEMINI.md | Gemini CLI |
.grok-plugin/plugin.json, .mcp.json | Grok Build |
The MCP server itself runs at https://mcp.evolink.ai/mcp; this repository holds only the client configuration and the skill.
https://mcp.evolink.ai/mcp (Streamable HTTP). Every tool call goes there. Prompts, parameters and reference file links are sent to EvoLink to run the task; results come back as links.https://passport.evolink.ai, with the approval page on evolink.ai. Scopes are mcp and offline_access. Your assistant stores the tokens it receives.Apache-2.0