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)
Solve reCAPTCHA v2/v3/Enterprise, Turnstile, DataDome and image captchas from AI agents.
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。
CAPTCHANO_API_KEY, CAPTCHANO_MAX_SPEND_USD, CAPTCHANO_WAIT, CAPTCHANO_API_BASE, CAPTCHANO_TOOL_TIMEOUT标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"captchano": {
"command": "npx",
"args": [
"-y",
"captchano-mcp"
],
"env": {
"CAPTCHANO_API_KEY": "your-value",
"CAPTCHANO_MAX_SPEND_USD": "your-value",
"CAPTCHANO_WAIT": "your-value",
"CAPTCHANO_API_BASE": "your-value",
"CAPTCHANO_TOOL_TIMEOUT": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add captchano --env CAPTCHANO_API_KEY=your-value --env CAPTCHANO_MAX_SPEND_USD=your-value --env CAPTCHANO_WAIT=your-value --env CAPTCHANO_API_BASE=your-value --env CAPTCHANO_TOOL_TIMEOUT=your-value -- npx -y captchano-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"captchano": {
"command": "npx",
"args": [
"-y",
"captchano-mcp"
],
"env": {
"CAPTCHANO_API_KEY": "your-value",
"CAPTCHANO_MAX_SPEND_USD": "your-value",
"CAPTCHANO_WAIT": "your-value",
"CAPTCHANO_API_BASE": "your-value",
"CAPTCHANO_TOOL_TIMEOUT": "your-value"
}
}
}
}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": {
"captchano": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"captchano-mcp"
],
"env": {
"CAPTCHANO_API_KEY": "your-value",
"CAPTCHANO_MAX_SPEND_USD": "your-value",
"CAPTCHANO_WAIT": "your-value",
"CAPTCHANO_API_BASE": "your-value",
"CAPTCHANO_TOOL_TIMEOUT": "your-value"
}
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
CAPTCHANO_MAX_SPEND_USD envCAPTCHANO_WAIT envCAPTCHANO_API_BASE envCAPTCHANO_TOOL_TIMEOUT env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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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7日
注册名称已通过 GitHub 账户 DishantSinghDev2 验证,该账户拥有此仓库
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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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 1 项适用的基础检查中通过了 1 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。
你需要填写:CAPTCHANO_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.0.0)于18天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
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。
The official Model Context Protocol server for CaptchaNo. It lets AI agents (Claude, Cursor, VS Code Copilot and any other MCP client) solve reCAPTCHA v2 / v3 / Enterprise, Cloudflare Turnstile, DataDome and image captchas while running a browser or HTTP automation.
Solves run on CaptchaNo's own solving infrastructure and are billed to your CaptchaNo balance. Failed solves are never billed.
Use it only for authorised automation. Solve captchas only on sites you own, sites you have
permission to automate, or sites whose terms allow it (QA of your own forms, accessibility,
monitoring your own properties, research with permission). You are responsible for how you use it.
cn-.npx -y captchano-mcp. Node.js 20.3 or newer is required.claude mcp add captchano -e CAPTCHANO_API_KEY=cn-... -- npx -y captchano-mcp
Add --scope user to make it available in every project.
Edit claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": { "captchano": { "command": "npx", "args": ["-y", "captchano-mcp"], "env": { "CAPTCHANO_API_KEY": "cn-...", "CAPTCHANO_MAX_SPEND_USD": "1.00" } } } }
~/.cursor/mcp.json (global) or .cursor/mcp.json (project):
{
"mcpServers": { "captchano": { "command": "npx", "args": ["-y", "captchano-mcp"], "env": { "CAPTCHANO_API_KEY": "cn-..." } } } }
.vscode/mcp.json. VS Code asks for the key the first time and stores it securely:
{
"inputs": [ { "type": "promptString", "id": "captchano-api-key", "description": "CaptchaNo API key (cn-...)", "password": true } ], "servers": { "captchano": { "type": "stdio", "command": "npx", "args": ["-y", "captchano-mcp"], "env": { "CAPTCHANO_API_KEY": "${input:captchano-api-key}" } } } }
Use the same command / args / env as above: command npx, args ["-y", "captchano-mcp"], env CAPTCHANO_API_KEY.
docker build -t captchano-mcp .
docker run -i --rm -e CAPTCHANO_API_KEY=cn-... captchano-mcp
All configuration is read from environment variables. The API key is never accepted as a tool argument.
| Variable | Required | Default | Description |
|---|---|---|---|
CAPTCHANO_API_KEY | yes | – | Your API key (cn-...). |
CAPTCHANO_MAX_SPEND_USD | no | unlimited | Spend ceiling for this server process, in USD. See Budget. |
CAPTCHANO_WAIT | no | 45 | Seconds the API blocks on each solve request (?wait=N, max 120) before the server switches to polling. |
CAPTCHANO_TOOL_TIMEOUT | no | 50 | Max seconds one solve_captcha call takes before returning a resumable solving result. Many MCP clients cancel tool calls at 60 s; raise this only if yours allows longer. |
CAPTCHANO_API_BASE | no | https://api.captchano.com | API base URL. |
CAPTCHANO_MCP_HTTP_TOKEN | no | – | In --http mode, require Authorization: Bearer on /mcp. |
CAPTCHANO_LOG_LEVEL | no | info | debug, info, warn, error or silent. Logs go to stderr only. |
solve_captchaSolves a captcha and returns the value the page needs. Billed per successful solve.
| Argument | Types | Notes |
|---|---|---|
type | all | recaptcha_v2, recaptcha_v3, recaptcha_enterprise, turnstile, datadome, image |
url | all except image | Full URL of the page that shows the captcha |
sitekey | recaptcha\_\*, turnstile | From data-sitekey, the k= iframe parameter or the render= script parameter |
action | recaptcha_v3, recaptcha_enterprise, turnstile | The action name the page uses |
minScore | recaptcha_v3 | 0.1–0.9 |
invisible | recaptcha_v2, recaptcha_enterprise | true for invisible widgets |
cData, pageData | turnstile | data-cdata; pageData for Cloudflare challenge pages |
challengeUrl | datadome (required) | Full captcha URL from the blocked response |
proxy | datadome (required), optional for token types | "http://user:pass@host:port" (http, socks4, socks5) or { scheme, host, port, username, password } |
body | image (required) | Base64 image. A data:image/...;base64, prefix is accepted |
userAgent | all except image | The User-Agent of the client that will use the solution |
How a call runs: the server sends POST /v1/solve?wait=N. If the API answers 202 (still solving), the server polls GET /v1/task/{id} every 5 seconds, for up to 50 seconds in total by default (CAPTCHANO_TOOL_TIMEOUT). If the task is still solving after that, the result has status: "solving" and the task id, and the agent should call get_task with that id rather than solving again.
The result comes back as text (token, cookie or text, userAgent, cost, solveTime and the next step) and as structuredContent:
{
"id": "…", "type": "recaptcha_v2", "status": "ready", "token": "03AFcWeA…", "cost": "…", "solveTime": "…", "sessionSpend": { "spentUsd": "…", "limitUsd": "1.0000", "remainingUsd": "…" } }
get_task{ id } → the same object. Use it to resume a solve that is still solving, or to read a result again. Solutions are kept for 10 minutes. Read-only and free.
get_balanceReturns { balance, currency, sessionSpend }. Read-only and free.
list_captcha_typesA static list of every supported type: its required and optional fields, which solution field it returns, and a one-line hint on where to find the sitekey (or other inputs) on the page. It makes no network call.
API errors come back as tool results with isError: true. Each one includes the error code, the API's message and a hint for what to do next. For example:
Error insufficient_balance: Insufficient balance
Hint: The CaptchaNo account has no balance left. Ask the user to top up at https://captchano.com/dashboard/topup, then retry. Failed solves are never billed.
API codes: invalid_api_key, insufficient_balance, unsupported_type, invalid_sitekey, proxy_required, proxy_unreachable, score_not_met, unsolvable, capacity_unavailable, rate_limited, task_not_found, upstream_error. Codes from this server: invalid_arguments (caught before any request is sent), budget_exhausted, network_error, timeout, cancelled, http_error.
Set CAPTCHANO_MAX_SPEND_USD to cap what one server process can spend. The server adds up the cost the API returns for every task it submitted, counting each task once. Once the total reaches the limit, solve_captcha returns budget_exhausted without contacting the API. get_task, get_balance and list_captcha_types keep working.
Notes:
CAPTCHANO_API_KEY=cn-... CAPTCHANO_MCP_HTTP_TOKEN=$(openssl rand -hex 24) \
npx -y captchano-mcp --http --port 8080 # serves http://127.0.0.1:8080/mcp
/mcp, plus GET /healthz.127.0.0.1 by default. Use --host 0.0.0.0 only behind TLS and with CAPTCHANO_MCP_HTTP_TOKEN set: anyone who can reach the endpoint can spend your balance.CAPTCHANO_API_KEY is read from the environment only. It is never a tool argument, never included in tool results, and never logged. Log lines are also scrubbed of anything that looks like a cn- key, a bearer token or proxy credentials.solve_captcha is billed. Use CAPTCHANO_MAX_SPEND_USD and a dedicated key with a small balance for autonomous agents. The tool is annotated as a non-read-only, open-world tool, so clients that ask for confirmation will ask before it runs.npm install
npm test # unit tests (node:test, mocked fetch) npm run e2e # builds, then drives dist/ over stdio and HTTP with the official MCP client npm run check # typecheck + tests + build
npm run e2e calls get_balance against the real API with a dummy key and expects a clean invalid_api_key result. If CAPTCHANO_TEST_API_KEY is set, it also runs one live solve of the public reCAPTCHA v2 demo, with a $0.05 cap.
MIT © DishIs Technologies LLC