Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
Shared project memory for people and AI agents: documents, ERD, diagrams, boards, design mockups.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://ainecto.com/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"ainecto": {
"command": "npx",
"args": [
"-y",
"@ainecto/mcp"
]
}
}
}在终端中运行这条命令
claude mcp add --transport http ainecto https://ainecto.com/mcpclaude mcp add ainecto -- npx -y @ainecto/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"ainecto": {
"url": "https://ainecto.com/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"ainecto": {
"command": "npx",
"args": [
"-y",
"@ainecto/mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"ainecto": {
"type": "http",
"url": "https://ainecto.com/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"ainecto": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ainecto/mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://ainecto.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
服务器要求先登录,才会列出它的工具。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过域名 ainecto.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 857 毫秒内响应(HTTP 401)
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(0.13.0)于今天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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
只显示了开头部分;其余内容请在仓库中阅读