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)
Shared project memory for people and AI agents: documents, ERD, diagrams, boards, design mockups.
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://ainecto.com/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"ainecto": {
"command": "npx",
"args": [
"-y",
"@ainecto/mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http ainecto https://ainecto.com/mcpclaude mcp add ainecto -- npx -y @ainecto/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"ainecto": {
"url": "https://ainecto.com/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"ainecto": {
"command": "npx",
"args": [
"-y",
"@ainecto/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": {
"ainecto": {
"type": "http",
"url": "https://ainecto.com/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"ainecto": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ainecto/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://ainecto.com/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.
서버가 도구 목록을 보여 주기 전에 로그인을 요구해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 ainecto.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
857ms 만에 응답(HTTP 401)
OAuth 로그인을 지원한다고 밝혀서, AI 앱이 로그인 화면으로 안내해 줘요
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 3개 중 3개를 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.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.12.2)은 오늘 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.
Published as ainecto, @ainecto/mcp and @ainecto/cli — the same code. Command: ainecto.
Once per machine: npx -y ainecto@latest setup — signs you in through the browser (once), checks the connection, and connects Claude Code, Cursor, and Codex to the AiNecto server address (https://ainecto.com/mcp). Each agent then signs in to AiNecto by itself the first time it connects.
Every AI session sees the same AiNecto tools. What a tool may change is decided by your AiNecto permissions on the workspace, project, or document it touches — the server refuses the rest. There are no session roles (Design / Development / Test / Validation were removed in 0.8.0).
Run `npx -y ainecto@latest setup` (use a long command timeout — at least 6 minutes: sign-in waits up to 5 minutes for the user). Then run `npx -y ainecto@latest doctor` and do what it says.
setup registers the server address, so each agent signs in on its own the first time: Claude Code — run /mcp in a session and sign in to ainecto; Cursor — sign in when ainecto asks in its MCP settings; Codex — signs in while setup connects it (a browser tab opens and the sign-in link is printed to stderr; if it did not finish, run codex mcp login ainecto).npx -y ainecto@latest init from its root. It does not ask for a role or a project.npx -y ainecto@latest tools list and npx -y ainecto@latest tools call ' '. A new session loads the MCP tools.npx. If it does, ask the user to allow the command.npx -y ainecto@latest setup # sign in, check, connect Claude Code · Cursor · Codex
npx -y ainecto@latest setup --dry-run # show what it would do — no sign-in, no changes npx -y ainecto@latest setup --local # connect through the local relay instead (see below) npx -y ainecto@latest setup --undo # remove the connections setup made (sign-in stays) npx -y ainecto@latest status # who is signed in, your AiNecto role, what is connected npx -y ainecto@latest doctor # what is missing, and the one command that fixes each item
setup connects each client separately and reports connected, updated, kept (someone else's ainecto entry, left untouched), not installed, or failed; if any client fails it says «partial» and exits 1:
claude mcp add --transport http -s user ainecto https://ainecto.com/mcp (user scope). Sign in with /mcp in a session."ainecto": { "url": "https://ainecto.com/mcp" } into ~/.cursor/mcp.json, keeping your other servers. Cursor asks you to sign in from its MCP settings.codex mcp add ainecto --url https://ainecto.com/mcp. Codex starts its sign-in right away (a browser tab opens; setup passes Codex's output, with the sign-in link, through to stderr). If that did not finish within 90 seconds, Codex shows as failed but stays connected — run codex mcp login ainecto (re-running setup says the same).With --env dev (or --endpoint) the address is that environment's. The server address has no version to pin: a server update reaches every agent at once. Entries an older setup wrote (npx -y @ainecto/mcp@ , with or without --role) are rewritten to the server address when you re-run setup; setup --undo removes either kind.
setup --local registers the local relay instead — npx -y @ainecto/mcp@ (stdio, pinned to the CLI version), which uses this machine's one ainecto sign-in for every agent. Use it only when an agent cannot sign in to the server address by itself; running setup again without --local moves back to the server address.
Your AiNecto role (your job, set in AiNecto's account settings) is shown by setup and status; AI uses it to pitch explanations — it does not change permissions.
npx -y ainecto@latest init # .ainecto/HARNESS.md, an AGENTS.md block (and CLAUDE.md if present), .ainecto/config.json
npx -y ainecto@latest init --mcp # also .mcp.json (Claude Code) and .cursor/mcp.json (Cursor), with the server address npx -y ainecto@latest init --mcp --local # the same files with the local relay instead npx -y ainecto@latest init --dry-run # the same plan, nothing written npx -y ainecto@latest init --undo # remove what init wrote npx -y ainecto@latest init --agent tester # name the agent working in this folder (see below)
--agent names the agent that works in this folder. It writes the name to .ainecto/agent.local (keep it out of git) and puts it in .mcp.json, .cursor/mcp.json and .codex/config.toml — the server address entries get the header X-AiNecto-Agent-Name, the local relay gets --agent . Re-running init keeps the name. ainecto tools call … run in this folder sends the same name. The server checks the name; a name it refuses stops init before any file is written. .codex/config.toml is written only when it does not exist yet (or init wrote it); Codex reads it only in a trusted project.init fetches the rules from the server — --dry-run too, so the plan is the real one. If it cannot (not signed in, offline), it says which files would get this package's default text instead.init opens the browser once (--dry-run never does). The sign-in URL is printed first (with --json, as one JSON line on stderr: {"event":"login_url","url":…}).--mcp writes the server address, like setup: .mcp.json gets "ainecto": { "type": "http", "url": "https://ainecto.com/mcp" } (Claude Code needs the type) and .cursor/mcp.json gets "ainecto": { "url": "https://ainecto.com/mcp" }. Each agent signs in by itself the first time. --local writes the pinned local relay instead (see Connector Mode)..mcp.json with npx -y @ainecto/mcp…, with or without --role): re-run npx -y ainecto@latest init. It rewrites the existing ainecto entry to the server address (or, with --local, to the relay pinned to this version without --role), and drops the old project field from .ainecto/config.json (unless you changed it). An ainecto entry pointing somewhere else is left alone. Until then the old entry keeps working: --role is accepted and ignored. Old flags (--role, --project, --project-name, --yes) are ignored with a one-line note.Prefer npx -y ainecto@latest . To install once instead, use npm install -g ainecto — but install only one of ainecto, @ainecto/mcp and @ainecto/cli globally: they are the same code and all ship the ainecto command, so a second global install conflicts. (@ainecto/mcp also carries mcp, the bridge.)
ainecto auth login # once per machine (and per --env) — `setup` does this for you
ainecto auth status ainecto auth logout
ainecto tools list ainecto tools call list_projects --json ainecto tools call erd_apply_changes -f changes.json --json cat payload.json | ainecto tools call erd_apply_changes --json
ainecto projects list ainecto erd apply-changes -f erd-operations.json --yes
Tool names are the server's own names (list_projects, erd_apply_changes, …). Your AI client shows them with its own prefix, for example mcp__ainecto__list_projects in Claude Code; the CLI does not use that prefix. A tool name that starts with the server's older mcp__ainecto__ prefix is still accepted.
Every command takes --env dev for https://dev.ainecto.com/mcp. Endpoint resolution priority:
--endpoint AINECTO_MCP_ENDPOINT--env devhttps://ainecto.com/mcpEndpoint URLs must use https:. Plain http: is accepted only for localhost loopback targets such as 127.0.0.1. When AINECTO_TOKEN is set, the CLI only sends it to the default prod/dev endpoints unless AINECTO_ALLOW_CUSTOM_ENDPOINT_TOKEN=1 is set for an explicitly trusted custom endpoint.
The commands are ainecto and mcp (which npx -y @ainecto/mcp runs). The AINECTO_* environment variables above are the only names for those settings — do not guess another prefix.
Every checked-in generated catalog tool is reachable through its deterministic command path. Scalar schema fields are exposed as flags, with both kebab-case and schema-case accepted:
ainecto documents list --project-uuid <projectUuid>
ainecto documents list --projectUuid
Array or object payloads use the first-party CLI JSON payload reader:
ainecto documents create -f create-documents.json
cat erd-operations.json | ainecto erd apply-changes --json
Destructive generated commands prompt in human mode unless --yes is supplied. In --json mode they fail with a structured error unless --yes is present.
Attachment file upload is available through a bespoke command that performs the upload-token, raw PUT, and attachment registration flow:
ainecto attachments upload --document-uuid <documentUuid> ./diagram.png ./notes.pdf
The generated request_upload_token and upload_attachments paths remain raw MCP argument-contract commands and do not read local files.
Inbox polling — for a scheduler (cron, launchd) that wakes an agent only when something is new. Exit codes: 0 new items, 3 nothing new, 1 error, 2 usage error. notifications poll saves the batch to the cursor file before printing it and prints the same batch again until notifications ack (run it only after the agent handled the batch). agent-todos poll --only-new exits 0 only for to-dos it has not seen before (kept in the seen file). Both take --workspace and --project , each repeatable: any of the given workspaces AND any of the given projects. Each filter is its own notification stream, so use one cursor file per filter.
ainecto notifications poll --direct-only --cursor-file ~/.ainecto/inbox.cursor --json > /tmp/inbox.json \
&& claude -p "Summarize these AiNecto notifications: $(cat /tmp/inbox.json)" \ && ainecto notifications ack --cursor-file ~/.ainecto/inbox.cursor ainecto agent-todos poll --only-new --seen-file ~/.ainecto/todos.seen --json > /tmp/todos.json \ && claude -p "Review these AiNecto to-dos and only summarize them: $(cat /tmp/todos.json)"
The server tools behind them (list_notifications, list_agent_todos, update_agent_todos, list_history) are generated commands too (ainecto notifications list, ainecto agent-todos list, ainecto agent-todos update -f …, ainecto history list) once the server exposes them.
ainecto term keeps terminal sessions running after you close the terminal window — no tmux or cmux needed. A background process, started on demand, owns each session and keeps its screen, so agents and scripts can type into a session and read its screen, and you can attach from any terminal app. It runs on this machine only; it does not use your AiNecto sign-in.
ainecto term new api --cwd ~/code/api -- claude # start a session (without a command: your login shell)
ainecto term ls [--json] ainecto term send api "run the tests" # types the text, without Enter ainecto term key api enter
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요