Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
Solve reCAPTCHA v2/v3/Enterprise, Turnstile, DataDome and image captchas from AI agents.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
CAPTCHANO_API_KEY, CAPTCHANO_MAX_SPEND_USD, CAPTCHANO_WAIT, CAPTCHANO_API_BASE, CAPTCHANO_TOOL_TIMEOUTValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
}
}
}
}Run this in your terminal
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-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
CAPTCHANO_MAX_SPEND_USD envCAPTCHANO_WAIT envCAPTCHANO_API_BASE envCAPTCHANO_TOOL_TIMEOUT envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account DishantSinghDev2, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: CAPTCHANO_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 18 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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