hCaptchaおよびhCaptcha Enterpriseの課題を解決し、自動化されたウェブ操作のためのトークンを取得します。
別名 nonecap/nonecap-js, nonecap-js
- スター
- 320
- ツール
- —
- ダウンロード数(30日間)
- —
- 最新バージョン
- 0.13.0
- 最終コミット
- 2026年11月14日
- ライセンス
- MIT
NoneCap MCPとは
NoneCapはMCPサーバーです。 hCaptchaおよびhCaptcha Enterpriseの課題を解決し、自動化されたウェブ操作のためのトークンを取得します。.
プロジェクトのREADMEから生成された概要
NoneCap MCP server について
NoneCapは、自動化されたウェブ操作を容易にするために、hCaptchaおよびhCaptcha Enterpriseの課題を解決する特化型サービスを提供します。このMCP serverを使用すると、AIエージェントがNoneCap APIと通信して有効なCAPTCHAトークンを取得できます。これは、ウェブ自動化タスク中にボット検知を回避する必要がある、Claude Code、Cursor、Claude Desktopなどのクライアントを使用する開発者向けに設計されています。
認証には、NoneCapダッシュボードから取得した有効なAPIキーが必要です。サーバーはstdioを介して動作し、解決プロセスを管理するための特定のツールが含まれています。これらのツールには、課題を開始するsolve_hcaptcha、保留中のリクエストのステータスを確認するget_solve、実行中の試行を停止するcancel_solveがあります。また、最近の履歴を表示するlist_solvesや、クレジット残高と1日の制限を監視するget_accountなどの管理機能も備えています。
できること
- 1hCaptcha課題の解決AIエージェントは、sitekeyとURLを提供することで、特定のウェブサイト用のトークンをリクエストできます。
プロジェクトの README から作成されています。すべてのユースケースは、その引用と照らし合わせて確認されています。
NoneCap MCPのインストール方法
フォーマット検証日 2026年11月10日Cursor に追加Gooseに追加Claude CodeにNoneCap MCPをインストール
$ claude mcp add --env 'NONECAP_API_KEY=<YOUR_NONECAP_API_KEY>' nonecap-js -- npx -y nonecapCursorにNoneCap MCPをインストール
~/.cursor/mcp.json
{
"mcpServers": {
"nonecap-js": {
"command": "npx",
"args": [
"-y",
"nonecap"
],
"env": {
"NONECAP_API_KEY": "<YOUR_NONECAP_API_KEY>"
}
}
}
}VS CodeにNoneCap MCPをインストール
.vscode/mcp.json
{
"servers": {
"nonecap-js": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"nonecap"
],
"env": {
"NONECAP_API_KEY": "<YOUR_NONECAP_API_KEY>"
}
}
}
}VS Code CLIにNoneCap MCPをインストール
$ code --add-mcp '{"name":"nonecap-js","type":"stdio","command":"npx","args":["-y","nonecap"],"env":{"NONECAP_API_KEY":"<YOUR_NONECAP_API_KEY>"}}'Claude DesktopにNoneCap MCPをインストール
claude_desktop_config.json
{
"mcpServers": {
"nonecap-js": {
"command": "npx",
"args": [
"-y",
"nonecap"
],
"env": {
"NONECAP_API_KEY": "<YOUR_NONECAP_API_KEY>"
}
}
}
}CodexにNoneCap MCPをインストール
$ codex mcp add nonecap-js --env 'NONECAP_API_KEY=<YOUR_NONECAP_API_KEY>' -- npx -y nonecapCodex config.tomlにNoneCap MCPをインストール
~/.codex/config.toml
[mcp_servers.nonecap-js] command = "npx" args = ["-y", "nonecap"] [mcp_servers.nonecap-js.env] NONECAP_API_KEY = "<YOUR_NONECAP_API_KEY>"
Gemini CLIにNoneCap MCPをインストール
$ gemini mcp add -s user -e 'NONECAP_API_KEY=<YOUR_NONECAP_API_KEY>' nonecap-js npx -- -y nonecapGemini settings.jsonにNoneCap MCPをインストール
~/.gemini/settings.json
{
"mcpServers": {
"nonecap-js": {
"command": "npx",
"args": [
"-y",
"nonecap"
],
"env": {
"NONECAP_API_KEY": "<YOUR_NONECAP_API_KEY>"
}
}
}
}設定
NONECAP_API_KEY必須シークレットYour NoneCap API key, from https://dashboard.nonecap.com
| 名前 | 説明 | 種類 |
|---|---|---|
| NONECAP_API_KEY | Your NoneCap API key, from https://dashboard.nonecap.com | 必須シークレット |
自動チェック
実行日 2026年11月12日完全なレポート →自動チェックに合格しました。これはセキュリティ監査ではありません。コードを読み、サーバーに必要最小限のアクセス権を与えてください。 チェックの仕組み
- ソースリポジトリがリンクされており、アクセス可能合格
- オープンソースライセンス (OSI)合格
- 過去1年以内にコミットまたはリリースあり合格
- パッケージ名が有名なパッケージに酷似していない合格
- リモートエンドポイントがHTTPSを使用未チェック
- 破壊的なツールがラベル付けされている未チェック
- モデルへの隠れた指示がない合格
- パッケージおよびその依存関係に重大な勧告なし合格
README
GitHubで見るSubmit a captcha, get back a token. The client handles the polling, the timeouts, and the error cases so you do not have to write the fetch loop yourself.
Install
npm install nonecap
Works on Node 18+, Bun, Deno, and edge runtimes. No dependencies.
Quick start
Grab an API key from dashboard.nonecap.com, then:
import { NoneCap } from "nonecap";
const nc = new NoneCap({ apiKey: process.env.NONECAP_KEY! });
const solve = await nc.solve({
type: "hcaptcha",
sitekey: "10000000-ffff-ffff-ffff-000000000001",
url: "https://example.com/login",
});
console.log(solve.token); // the hCaptcha token, ready to submit
console.log(solve.resp_key); // hcaptcha.getRespKey() equivalent, for sites that verify the pair
console.log(solve.user_agent); // submit the token with this User-Agent: some sites check the browser version
console.log(solve.warnings); // e.g. proxy_session_refused: tokens you reported through this proxy session or its exit IP were refused; a different exit IP is more likely to pass (or, when your proxy changed its exit IP during the solve, use a sticky session per solve)
solve() submits the captcha and waits until it is done, using the API's long-poll so you are not hammering it with requests. It returns the solved solve, or throws if the solve fails or your timeout runs out.
MCP server (Claude Code, Cursor, and other MCP clients)
The package also ships nonecap-mcp, a stdio MCP server, so an AI agent can solve hCaptcha through your NoneCap account.
Claude Code:
claude mcp add nonecap --env NONECAP_API_KEY=<your key> -- npx -y -p nonecap@latest nonecap-mcp
Cursor (~/.cursor/mcp.json), Claude Desktop (claude_desktop_config.json), and most other clients take the same JSON:
{
"mcpServers": {
"nonecap": {
"command": "npx",
"args": ["-y", "-p", "nonecap@latest", "nonecap-mcp"],
"env": { "NONECAP_API_KEY": "<your key>" }
}
}
}
Tools:
| Tool | What it does |
|---|---|
solve_hcaptcha |
Solve an hCaptcha (sitekey, url; optional type, rqdata, user_agent, proxy, wait_seconds) and return the solve with its token. If the solve is still running after wait_seconds (default 45, at most 50, inside the 60 s that clients built on the official MCP SDK allow by default), it returns the solve id and status so the agent polls get_solve instead of solving again. |
get_solve |
Get a solve by id, optionally waiting up to 50 seconds for it to finish. |
cancel_solve |
Cancel a pending or running solve. |
list_solves |
List your recent solves. |
get_account |
Your credit balance and your plan's solves left today. |
report_solve_outcome |
Tell NoneCap whether the site accepted a token. |
A failed call comes back as a tool error whose JSON carries the API's error code (insufficient_credits, sitekey_rate_limited, a failed solve's proxy_error, …), plus retry_after when the API sent one. Set NONECAP_BASE_URL to point the server at a different API host.
There is also an Agent Skill that tells Claude Code, Codex and other SKILL.md clients when to reach for NoneCap and how to submit the token: copy skills/nonecap-hcaptcha into ~/.claude/skills/ (or your agent's skills folder).
Handling failures
Every error this library throws extends NoneCapError, so you can catch the whole family or pick out the one you care about.
import {
NoneCap,
SolveFailedError,
InsufficientCreditsError,
RateLimitError,
} from "nonecap";
try {
const { token } = await nc.solve({ type: "hcaptcha", sitekey, url });
// use token
} catch (err) {
if (err instanceof SolveFailedError) {
// The message says what happened, what to do, and that nothing was charged.
console.error(err.solve.error?.message);
if (err.retryable) scheduleRetry();
} else if (err instanceof InsufficientCreditsError) {
console.error("Out of credits. Top up at dashboard.nonecap.com");
} else if (err instanceof RateLimitError) {
await new Promise((r) => setTimeout(r, (err.retryAfter ?? 1) * 1000));
} else {
throw err;
}
}
The error subclasses are AuthenticationError (401), PermissionError (403), InsufficientCreditsError (402, with KeyCreditLimitError when one API key hit its own cap), ValidationError (422/400, with a param naming the bad field; PayloadTooLargeError for 413 and UnsupportedMediaTypeError for 415), NotFoundError (404), ConflictError (409), RateLimitError (429, with ConcurrencyLimitError, SitekeyRateLimitedError, ProxyUnavailableError (your own proxy is refusing connections) and RateCappedError (your account reached its submit rate cap on this sitekey, or your own-proxy sessions for it are at their limit) telling them apart; retryAfter is the seconds the API asked you to wait), RecognitionFailedError (422 from recognize() when no answer came back, nothing charged), APIError (5xx, with ServiceUnavailableError for a maintenance pause and its subclass SitekeyUnavailableError when solving for one sitekey is currently in maintenance, retryAfter set), and ConnectionError (the request never landed). Every error from a response carries requestId, the id to quote to support.
SolveFailedError carries the full solve. solve.error.code is a SolveErrorCode, solve.error.reason a typed sub-reason or null (proxy_rejected, sitekey_rate_limited, …), and solve.error.retryable says whether resubmitting the same request unchanged can succeed; err.retryable, err.reason and err.solveCode are shortcuts to those fields. Failed solves are never charged.
Cancelling a solve
solve() is the simple path when you just want a token. When you need to cancel while the solve is in flight — clean shutdown, freeing a worker slot, or stopping early — start it instead. solves.start() returns as soon as the submission is accepted, handing you a SolveHandle whose id is available right away.
Wait for the result when you want the token:
const handle = await nc.solves.start({ type: "hcaptcha", sitekey, url });
console.log(handle.id); // available immediately
const solve = await handle.result({ timeout: 120_000 });
console.log(solve.token);
Or hold onto the handle and cancel it from somewhere else — a shutdown hook, a request that was abandoned, a "stop" button:
const handle = await nc.solves.start({ type: "hcaptcha", sitekey, url });
process.on("SIGTERM", () => {
handle.cancel().catch(() => {}); // free the worker slot on shutdown
});
// elsewhere, whoever needs the token still awaits it:
const solve = await handle.result();
handle.result() long-polls until the solve finishes, throwing SolveFailedError or TimeoutError exactly like solve(). The terminal outcome is memoized: once the solve actually finishes, every later result() call returns that same result. A TimeoutError is not memoized — it just means that wait gave up, so you can call result() again (for example with a larger timeout) to resume polling. Concurrent result() calls share a single in-flight poll.
handle.cancel() cancels a pending or in-flight solve. If the solve already finished, the API would answer 409; the handle swallows that and returns the solve's current state instead, since cancelling a finished solve is not something you need to handle. Cancelling settles the handle, so a concurrent or later result() stops polling and reflects the cancelled (terminal) state.
Cancelled and abandoned solves are never charged — nothing is billed unless a solve actually succeeds, and unfinished solves simply expire uncharged at the server deadline. So cancel is for cleanup and early-stop, not cost protection.
Cleaning up after a solve() timeout
solve() blocks until the solve settles, so it hands you no handle to cancel a solve while it's still running — for that, use solves.start() above. The one thing the solve() path offers is cleanup after a timeout: when solve() throws TimeoutError, the error usually carries the in-flight solveId (and last-known solve), so you can cancel the solve the wait gave up on. Guard on solveId being present — if the very first submission times out at the transport level, no id has been assigned yet, so solveId is undefined.
import { TimeoutError } from "nonecap";
try {
await nc.solve({ type: "hcaptcha", sitekey, url });
} catch (err) {
if (err instanceof TimeoutError && err.solveId) {
await nc.solves.cancel(err.solveId);
} else {
throw err;
}
}
Enterprise captchas
For hcaptcha_enterprise, rqdata is optional: many enterprise sites never issue one. When the page does pass an rqdata blob to its widget, send it, fresh for each challenge.
const { token } = await nc.solve({
type: "hcaptcha_enterprise",
sitekey,
url,
rqdata: "...", // only when the site provides one
});
Proxies
Pass a proxy as a structured object or a URL string. Solves run through it, and the bytes are metered back on the solve.
await nc.solve({
type: "hcaptcha",
sitekey,
url,
proxy: { scheme: "http", host: "1.2.3.4", port: 8080, username: "u", password: "p" },
// or: proxy: "http://u:p@1.2.3.4:8080"
// scheme can be http, https, socks5, socks5h, or socks4 (default http)
// e.g. proxy: "socks5://u:p@1.2.3.4:1080"
});
Reporting token acceptance
A token that hCaptcha blessed can still be refused by the site you send it to. Tell us what happened and we tune minting against your real acceptance rate — it's free, and it's the fastest way to get a regression on your sitekey noticed.
Keep the solve_id next to the token you submit downstream, then report the verdict:
const solve = await nc.solve({ type: "hcaptcha", sitekey, url });
const ok = await submitToTheSiteYouAreAutomating(solve.token);
await nc.feedback.report({
solve_id: solve.id,
outcome: ok ? "accepted" : "rejected",
reason: ok ? undefined : "session invalidated", // optional, the code your target returned
context: ok ? undefined : "3rd retry, rotating residential pool", // optional, anything you think would help us diagnose it
});
At volume, buffer the verdicts and flush them in one call. Reports over 500 are split across requests for you:
const batch = await nc.feedback.reportMany([
{ solve_id: "solve_01J...", outcome: "accepted" },
{ solve_id: "solve_01J...", outcome: "rejected", reason: "...", context: "..." },
]);
// Items resolve independently, so the call succeeds even when some are
// rejected — check `failed` rather than relying on a throw.
if (batch.failed > 0) {
console.warn(batch.results.filter((r) => r.status === "error"));
}
outcome is one of accepted, rejected, unknown (submitted, verdict unclear), unused (never submitted), or error (downstream broke for a non-token reason). Only accepted and rejected count toward the acceptance rate.
reason and context are both optional free text. reason is the code or message your target gave you; context is anything else about the attempt you think would help us diagnose it, with no schema at all. Neither is parsed — they are what a human reads when you raise a ticket, and they carry the half of a rejection we cannot see from our side.
Reporting the same solve again corrects the earlier verdict, so retries and late fixes are safe. You can report any of your own solved solves within ~30 days of the solve; corrections to something you already reported are never cut off by that window.
Recognizing images
If you run your own browser and only need the answer to a challenge, send the instruction and images to recognize(). The answer comes back in the same response: no token, no polling.
const { id, data } = await nc.recognize({
type: "hcaptcha",
task: "Please click each image containing a bus",
image_data: tiles, // base64 or data: URIs, 1-27 tiles; or image_urls with hCaptcha image URLs
});
// data: boolean[], one per tile, in the order you sent them
For a click-the-point challenge send exactly one image with type: "hcaptcha_area_select". data is the first point as { x, y, w: 0, h: 0 } and points lists every point to click, all in percent of the image.
You can also send the challenge as hCaptcha served it, in NopeCHA's v1 recognition shape:
const result = await nc.recognize({
data: {
request_type: "image_drag_drop", // or image_label_binary, image_label_area_select
requester_question: { en: "Drag the piece into place" },
tasklist: [{ task_key, datapoint_uri, entities }],
},
});
image_label_binary answers pages of 9 booleans (boolean[][]), image_label_area_select one box per task (null when there is no point) plus points per task, and image_drag_drop the drop box for each entity per task. The return type follows the request, so TypeScript knows which one you got.
When no answer comes back the call throws RecognitionFailedError and nothing is charged. An answered call's charge is final. You can tell us whether the answer worked on the challenge, which helps us track accuracy; it is optional, free, and does not refund the call:
await nc.reportRecognitionOutcome(id, solved ? "solved" : "failed");
The first report for an id sticks; a repeat returns it unchanged. Calls are capped per API key by your account's concurrency limit, so a burst over it gets ConcurrencyLimitError or RateLimitError with retryAfter set.
Lower-level API
solve() is the convenient path. When you want control over submission and polling, the raw resource methods map one to one to the REST API.
// Submit without waiting: returns immediately with a pending solve
const pending = await nc.solves.create({ type: "hcaptcha", sitekey, url });
// Submit and hold the connection up to 30s for it to finish
const maybeDone = await nc.solves.create({ type: "hcaptcha", sitekey, url }, { wait: 30 });
// Poll one solve, long-polling up to 30s
const solve = await nc.solves.retrieve(pending.id, { wait: 30 });
// Cancel a pending or in-flight solve
await nc.solves.cancel(pending.id);
// List a page of solves
const page = await nc.solves.list({ limit: 50, status: "solved" });
// Or iterate every solve, newest first
for await (const s of nc.solves.listAll()) {
console.log(s.id, s.status);
}
// Your account and credit balance
const me = await nc.me();
console.log(me.credits_balance);
// With a plan: what is left of today's solves, and when they reset (00:00 UTC).
console.log(me.plan?.remaining_today, me.plan?.resets_at);
Cancelling and timeouts
Pass an AbortSignal to cancel any call, and a timeout to bound how long solve() waits.
const ac = new AbortController();
setTimeout(() => ac.abort(), 60_000);
await nc.solve(
{ type: "hcaptcha", sitekey, url },
{ timeout: 120_000, signal: ac.signal },
);
Configuration
new NoneCap({
apiKey: "nc_live_...", // required
baseURL: "https://api.nonecap.com", // override if you need to
timeout: 100_000, // per HTTP request, ms
fetch: customFetch, // inject your own fetch
});
License
MIT, see LICENSE.
NoneCap MCPのよくある質問
NoneCap MCPをClaude Codeに追加するには
ターミナルでclaude mcp add --env 'NONECAP_API_KEY=<YOUR_NONECAP_API_KEY>' nonecap-js -- npx -y nonecapを実行します。すべてのプロジェクトで利用するには--scope userを追加します。
NoneCap MCPをCursorに追加するには
~/.cursor/mcp.jsonを開き、上記のインストールセクションに示すCursor設定を使ってmcpServersの下にサーバーを追加します。
解決に失敗した場合でも料金が発生しますか?
いいえ、解決に成功した場合のみ課金されます。未完了またはキャンセルされた解決には一切料金はかかりません。
プロキシを併用できますか?
はい、構造化されたオブジェクトまたはURL文字列としてプロキシを渡すことで、プロキシ経由で解決を実行できます。
クレジットが不足した場合はどうすればよいですか?
InsufficientCreditsErrorが発生した場合は、dashboard.nonecap.comから残高をチャージする必要があります。