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)
Run a 24/7 live stream of pre-recorded videos, or live stream a recorded video at a set time.
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.
Authorization비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
터미널에서 이 명령어를 실행하세요
claude mcp add --transport http livereacting https://mcp.livereacting.com/mcp --header 'Authorization: your-value'실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"livereacting": {
"url": "https://mcp.livereacting.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"livereacting": {
"type": "http",
"url": "https://mcp.livereacting.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
Authorization 비밀 필수 HTTP header이 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 livereacting.com 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.
입력해야 할 값: Authorization
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.2.0)은 35일 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.
Run live video streams from an AI agent. Build a channel from a video playlist, start it, schedule it, watch it while it runs, and read the numbers afterwards — from Claude Code, Codex, Cursor, or anything else that speaks MCP.
https://mcp.livereacting.com/mcp
Streamable HTTP. Stateless. Authenticated with your LiveReacting API key.
Full reference, with every tool, input, response field, limit and error code: developers.livereacting.com/mcp (REFERENCE.md in this repo).
API access is included with every paid plan. Create a key in the Developer section of the LiveReacting Studio. Keys start with lr_.
With an API key, an account on the Free plan gets 403 API_ACCESS_REQUIRES_PAID_PLAN on every call. With OAuth (ChatGPT, Claude), the account can connect, and each tool call returns an error that explains the plan limit. The tools start working as soon as the plan includes API access, without connecting again.
Create the key first, put it in your shell profile as LIVEREACTING_API_KEY, then paste the config below.
Every example that cannot read that variable uses lr_… as a placeholder. Do not paste a real key into a file you commit. Where a harness supports an environment variable or a prompt, the block uses it.
In .mcp.json. Claude Code expands ${VAR} in a remote server's headers (docs), so the key stays out of the file:
{
"mcpServers": { "livereacting": { "type": "http", "url": "https://mcp.livereacting.com/mcp", "headers": { "Authorization": "Bearer ${LIVEREACTING_API_KEY}" } } } }
claude mcp add --transport http livereacting https://mcp.livereacting.com/mcp --header "Authorization: Bearer lr_…" also works, but it writes the key itself into the stored config.
In ~/.codex/config.toml:
[mcp_servers.livereacting]
url = "https://mcp.livereacting.com/mcp" bearer_token_env_var = "LIVEREACTING_API_KEY"
Then export LIVEREACTING_API_KEY=lr_… in your shell profile. Prefer this over http_headers, which puts the key in the config file.
In ~/.cursor/mcp.json. Cursor resolves ${env:NAME} in headers (docs):
{
"mcpServers": { "livereacting": { "url": "https://mcp.livereacting.com/mcp", "headers": { "Authorization": "Bearer ${env:LIVEREACTING_API_KEY}" } } } }
Or install the LiveReacting plugin from the Cursor Marketplace and set LIVEREACTING_API_KEY under Plugins → Configure. The plugin is .cursor-plugin/plugin.json and mcp.json in this repo.
In .vscode/mcp.json. The inputs block makes VS Code prompt for the key instead of storing it in the repo:
{
"inputs": [ { "id": "livereacting-key", "type": "promptString", "description": "LiveReacting API key", "password": true } ], "servers": { "livereacting": { "type": "http", "url": "https://mcp.livereacting.com/mcp", "headers": { "Authorization": "Bearer ${input:livereacting-key}" } } } }
Install the extension. Gemini CLI asks for the key once and keeps it in the system keychain:
gemini extensions install https://github.com/LiveReacting/livereacting-mcp
Or, without the extension, in ~/.gemini/settings.json. Gemini CLI expands $VAR and ${VAR} in every string of the file before it validates it, headers included (docs), so the key stays out of it:
{
"mcpServers": { "livereacting": { "httpUrl": "https://mcp.livereacting.com/mcp", "headers": { "Authorization": "Bearer ${LIVEREACTING_API_KEY}" } } } }
Install this repo as a power: Powers panel → Add Custom Power → Import power from GitHub, then paste https://github.com/LiveReacting/livereacting-mcp. The power reads LIVEREACTING_API_KEY from your environment (mcp.json).
In your Zed settings.json, under context_servers, add an HTTP server pointing at the URL with an Authorization header.
Add a Remote Extension (Streamable HTTP) in Goose's settings, URL https://mcp.livereacting.com/mcp, with a custom header Authorization: Bearer lr_….
| Harness | How the key is passed |
|---|---|
| Claude Code | ${VAR} in .mcp.json headers |
| Codex CLI | bearer_token_env_var |
| Cursor | ${env:VAR} in mcp.json headers |
| VS Code Copilot | headers with a prompted input |
| GitHub Copilot coding agent | static header secret only. This product does not support OAuth remote servers, so the key path is the only path here, now and later |
| Gemini CLI | $VAR in settings.json headers |
| Kiro | ${VAR} in the power's mcp.json headers |
| Zed | headers in settings.json |
| Goose | remote extension header |
| ChatGPT | open LiveReacting in ChatGPT, click Install plugin and sign in with your LiveReacting account. See livereacting.com/chatgpt |
Protocol revisions: 2024-10-07 through 2025-11-25. If your client reports a version error, that is the first thing to check. 2026-07-28 is not supported yet — no published TypeScript SDK speaks it.
30 tools in five toolsets. Every name is prefixed livereacting_, so one search in a client that defers tool loading finds the whole server.
| Tool | What it does |
|---|---|
list_destinations | Your connected YouTube, Facebook, Twitch, LinkedIn, X and custom RTMP destinations |
validate_destinations | Checks a destination's connection still works, before you rely on it |
| Tool | What it does |
|---|---|
list_projects | Your projects |
get_project | One project's configuration |
create_project | A new project |
update_project | Change a project's settings |
get_scenes | Scenes in a project, or one scene |
manage_scene | Create, rename or delete a scene |
activate_scene | Switch the active scene, including during a broadcast |
create_scene_with_playlist | A scene plus its video playlist in one call |
add_layer | Add one video playlist, audio playlist or single video layer to an existing scene |
get_layer | One layer, with its playlist truncated for context |
set_playlist | Replace a playlist's contents |
| Tool | What it does |
|---|---|
start_stream | Go live |
stop_stream | End the broadcast |
get_stream_status | Live state, per destination, including expired connections |
schedule_stream | Go live at set times |
cancel_schedules | Cancel scheduled broadcasts |
sync_stream | Push editor changes to a running stream |
list_broadcasts | Past broadcasts for a project |
| Tool | What it does |
|---|---|
list_media | Files and folders in your library |
get_media_file | One file's details |
upload_file | Start uploading a local file: returns part URLs and curl commands |
complete_upload | Finish an upload once every part is sent |
import_media | Import from Google Drive, Dropbox or YouTube |
import_from_url | Import from a direct link to a media file on any public host |
get_import_status | Poll an import, including every video of a playlist import |
encode_media | Re-encode a file for streaming |
get_encode_status | Poll an encode |
| Tool | What it does |
|---|---|
get_stream_analytics | YouTube analytics, or per-video playlist analytics (that type on request) |
Both are query parameters on the URL, so no client support is needed.
https://mcp.livereacting.com/mcp?toolsets=streams,media
https://mcp.livereacting.com/mcp?read_only=1
read_only=1 drops every tool that can change anything. Useful for a monitoring agent you do not want touching a live broadcast.
An agent that promises any of these is lying to your customer.
upload_file returns signed part URLs and ready curl commands; the agent sends the bytes itself, then calls complete_upload.150 requests per minute per account, shared across your API keys.
REST and MCP are counted separately, so the two surfaces get 150 each rather than sharing one budget. Do not plan around that: it is an implementation detail of how the two are metered, not a promise.
A 429 comes back as a tool error that says the number and how long to wait, because the model is the one reading it. The polling tools — get_stream_status, get_import_status, get_encode_status — each document a minimum interval. Poll tighter than that and you spend your own budget on nothing.
`set_playlist` replaces the whole playlist. It is not an append. To add one video, read the layer first, then send the complete list back. The tool tells you when a write shrinks the playlist, but it will still do what you asked.
Starting and stopping a stream is not idempotent. If a call times out, ask get_stream_status what happened. Do not retry — a retry can start a second attempt.
Full MCP reference: developers.livereacting.com/mcp Full REST API reference: developers.livereacting.com Support: hello@livereacting.com Privacy policy: livereacting.com/privacy-policy