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PopNx MCPAIを使う人のためのMCPサーバー · やさしい言葉で解説

Bug Bounty Intelligence

作者:holistisバージョン 1.0.3i★ –iクラウドで動く
レジストリ名io.github.holistis/bug-bounty-intelligence-mcp

インストール

概要

作者による説明(英語の原文)

AI security scanner for Solidity + free CC0 dataset of Sherlock audit-competition acceptance rates.

PopNx MCPの3つの柱

この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。

できること

このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。

  • 接続方法: クラウドで動く
  • トランスポート: Streamable HTTP
  • カテゴリ: データベース・データセット

インストール

使っているAIアプリを選んで、設定をコピーしてください。

インストールの前に

  • 基本チェック:1項目中1項目に合格
  • 作者のサーバーで動きます。あなたが頼んだ内容は、作者のサーバーを通ります。
  • レジストリには、入力が必要なキーは載っていません。

必要なもの

どのアプリを使っていますか?

上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。

ウェブ、デスクトップ、モバイルのClaudeで使えます:

  1. Settings → Connectors を開く
  2. Add custom connector を押す
  3. 下のアドレスを貼り付けて Add を押す
  4. サインインを求められたら、作者のサービスにサインインする
SettingsConnectors1+ Add2https://…3
https://wazir-x402.duckdns.org/api/bug-intel

ターミナルでこれを実行します

claude mcp add --transport http bug-bounty-intelligence https://wazir-x402.duckdns.org/api/bug-intel

Cursorで開く

または、設定を自分でコピーする

プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます

{
  "mcpServers": {
    "bug-bounty-intelligence": {
      "url": "https://wazir-x402.duckdns.org/api/bug-intel"
    }
  }
}

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

VS Codeで開く

または、設定を自分でコピーする

プロジェクトの .vscode/mcp.json に貼り付けます

{
  "servers": {
    "bug-bounty-intelligence": {
      "type": "http",
      "url": "https://wazir-x402.duckdns.org/api/bug-intel"
    }
  }
}

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

ChatGPTがつなげるのは、インターネット上のサーバーだけです:

  1. ウェブ版のChatGPTを開き → Settings → Connectors (Apps)
  2. Create または Add を押す(プランによっては、先に Advanced で Developer mode をオンにする必要があります)
  3. 下のアドレスを貼り付け、名前を付けて保存する
  4. サインインを求められたら、作者のサービスにサインインする
SettingsConnectors1+ Create2https://…3
https://wazir-x402.duckdns.org/api/bug-intel

メニューの名前は、プランや時期によって少し違うことがあります。

選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。

この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。

できること

このサーバーのツール一覧はまだ読み取っていません。エンドポイントは順番にチェックしています。

基本チェックi

誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック

  • ✓ 合格

    作者とリポジトリが一致

    レジストリ名は、リポジトリを所有するGitHubアカウント holistis で確認済みです

  • … 未チェック

    今もメンテナンスされている

    このリポジトリはまだGitHubから読み取っていません

  • … 未チェック

    ライセンスがある

    このリポジトリはまだGitHubから読み取っていません

  • … 未チェック

    エンドポイントが応答する

    まだチェックしていません。エンドポイントは順番にチェックしています

  • … 未チェック

    OAuthでサインイン

    まだチェックしていません。エンドポイントは順番にチェックしています

  • … 未チェック

    ツールの説明に隠れた指示がない

    まだチェックしていません。エンドポイントをチェックするときにツール一覧を読み取ります

データベース・データセットのほかのサーバーとの比較i

  • このカテゴリのほかの956件のうち0%よりスターが多い
  • このカテゴリのほかの956件のうち21%より最近レジストリに公開
  • 基本チェックの結果が、このカテゴリのほかの956件のうち100%と同じかそれ以上

レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。

よくある質問

Bug Bounty Intelligenceは安全ですか?

当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。

どんなキーやコードが必要ですか?

レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。

パソコンで動きますか、それともクラウドですか?

作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。

今もメンテナンスされていますか?

GitHubリポジトリの最終更新は–、最新バージョン(1.0.3)がレジストリに届いたのは4 か月前です。

どのアプリで使えますか?

Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。

代わりに使えるものは?

同じカテゴリには:Supabase, MongoDB MCP Server, Elasticsearch MCP Server

代わりの候補

同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。

カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i

Supabase

作者:supabase

MCP server for interacting with the Supabase platform

パソコンでもクラウドでも★ 2,993Apache-2.0昨日更新
インストール

作者のREADME

READMEを開く

作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。

Bug Bounty Intelligence: MCP Server

AI-powered smart contract security analysis for AI agents and developers.

Verify us in two minutes

You need Node 22 or newer (what our recount workflow uses) and nothing else.

git clone https://github.com/holistis/bug-bounty-intelligence-mcp

cd bug-bounty-intelligence-mcp node results/2026-11-02-shop-setup-five-audits/check.mjs node tools/checker-selftest.mjs node tools/ranges-check.mjs

The first command recounts one result folder from its verdict files and checks its hashes. It runs offline.

The second command tests the checkers. It copies every result folder to a temp directory, plants a made-up finding id and a flipped verdict, and runs the check.mjs of that folder. CAUGHT is good. BLIND means the checker accepted the planted fault. Today no folder is BLIND. The last one, results/2026-10-26-evmbench, was fixed on 3 November 2026 in pull request 89. To see where we started, test the state before our fixes:

The third command checks the central index (results/README.md): every folder it names with a voided-answer count above zero must also be named under its "Ranges if the voided answers are counted" section. Tom Smart found that this was missing for five older folders on 4 November 2026 (issue 41). It covers that one index, not yet a newer folder's own README.

git worktree add ../selftest-before 0fafa23

node tools/checker-selftest.mjs ../selftest-before/results

Three of the five checkers a made-up id can reach were BLIND then.

First issues, each scoped to one folder or one audit: good first issues. How a change is reviewed and how credit works: CONTRIBUTING.md. The scan engine itself is not in this repository.

Every public statement of ours that turned out wrong is listed, with the date and the fix, in ERRATA.md. The counting rule behind our results is MEASUREMENT-RULE-two-judge-strict.md.

Update, 2 November 2026: the scan you can buy, counted

The setup behind our deep scan found 14 of 20 known High findings on five public audits, one run each, graded by a copy of the benchmark's own judge. On the same five audits the leader's own report finds 15 of 20 under that copy. Every verdict, the exact reports the judge read and a script that recounts everything are in results/2026-11-02-shop-setup-five-audits, with the limits listed. All our result folders are listed in results/README.md, and the longer story is on our blog.

Update, 25 October 2026, night: two free tools next to the scan

We ran Slither 0.11.6 and Aderyn 0.6.8 with default settings on the same contests and had the same two judges compare their output with the known High and Medium findings. They found none: Slither 0 of 34 and Aderyn 0 of 70, on the contests where our setup could run them. On the same contests our scan found 6 of 34 and 10 of 70 in its first 15 hypotheses. Static tools are not built for the business-logic flaws that contests reward, the older contests may be in the training data of the model behind our scan, and the judges are language models, so read it as a description and not as a ranking: results/2026-10-25-free-tools/README.md.

Update, 25 October 2026, night: a quick scan for 1 dollar

There are now two prices. The quick scan, POST https://x402.tokenizen.nl/api/bug-intel-quick for 1 USDC on Base, returns the 15 hypotheses the model is most confident about. The full scan, POST https://x402.tokenizen.nl/api/bug-intel for 5 USDC, adds 15 more with lower confidence. It is the same engine and the same kind of report. The hit rates we measured (8 of 105 and 5 of 66) are for the first 15 hypotheses, so they are the numbers of the quick scan; the second list is the extra of the full scan. The quick scan costs exactly 1 dollar because the official x402 client refuses payments above 1 dollar per request unless its owner raises the limit, and we checked with a real purchase that an agent with default settings can buy it: results/2026-10-25-v31/quick-scan-purchase/README.md. Both routes sign their offers.

Update, 25 October 2026, night: a standard x402 client can now buy the scan

Until today the scan endpoint accepted only a transaction hash from a payment you had made by hand, and it answered 400 to the signed authorization that standard x402 clients send, although its 402 answer said that would work. That is fixed. A standard client (@x402/fetch 2.28.0) bought the scan from a throwaway address, got the receipt in the response, and the six checks on the receipt pass: results/2026-10-25-v31/standard-client-purchase/README.md. It was a self test with our own money, one purchase. One thing a buyer needs to know: the official client refuses payments above 1 dollar per request unless its owner raises the limit, and the scan costs 5 dollars.

Update, 25 October 2026, night: the scan on contests from the last year

We ran the scan once on 9 Code4rena contests from September 2025 to March 2026 (66 known High and Medium findings), with the rule for reading the result written beforehand. The first 15 hypotheses of a report held 5 of the 66 (7.6 percent) and the first 30 held 8 (12.1 percent). That is the same rate as on the 8 Sherlock contests, so by our own rule the result holds on newer contests. It is still a low rate: 58 of the 66 known findings were not in the first 15. Numbers, judgements, the whole lists and the limits: results/2026-10-25-c4-fresh/README.md.

A report can now show up to 30 hypotheses, in two lists: the 15 the model is most confident about and 15 more with lower confidence. On the stored lists the second list held 8 known findings that the first list did not (5 on Sherlock, 3 on Code4rena), at a slightly lower precision. We chose this after seeing the numbers, so it is a product choice and not a pre-registered test.

Update, 25 October 2026, evening: the offer is signed

The paid endpoint now declares the x402 offer-receipt extension and signs its offer. You can check it yourself without paying: npx -y agent-receipt-verify https://x402.tokenizen.nl/api/bug-intel reaches level 2 (asks for payment the way x402 says, declares the extension, and the signature of the offer verifies). The signer is 0xf30b0706E78b3166745E6a2f351992321088058f. That key only signs offers and receipts and holds no funds. The key is bound to the service domain in DNS, the way section 4.5.1 of the offer-receipt specification describes: dig TXT _controllers.x402.tokenizen.nl lists it as a controller (set on 25 October 2026). The address that receives payments is the one in the payment section below.

After a payment the answer to the paid request carries a signed receipt for that payment transaction, in the body as receipt and in the PAYMENT-RESPONSE header (level 3). We have seen this on one real payment, a self test on Base mainnet with 5.1 USDC from the project's own address to the payment address of the service. The receipt, the transaction, the delivered report and a script that checks all of it are in results/2026-10-25-v31/first-real-payment/. Nobody else has used the receipt yet, and the conformance checker still shows level 3 as not measured because it checks without paying. A receipt says that our service saw payment transaction X for this resource. It says nothing about how good the report is.

Update, 25 October 2026: version 3.1 is live

Paid scans now run on a newer version, V3.1. On the same 8 contests as the sealed run it found 8 of 105 known High and Medium findings (7.6 percent), against 4 for the version before it and 1 for the scan that was in production until the evening of 25 October: results/2026-10-25-v31/README.md. Two things changed at once and those contests are no longer secret, so this is a doubling from a low level and not a proof. 97 of the 105 were still not found. A scan takes about 20 to 45 seconds and costs us 0.02 to 0.15 dollar. The earlier version stays in place as the fallback.

Update, 24 October 2026, evening: the sealed run

The one run on the sealed set is done, with the rule written before it: results/2026-10-24-sealed/README.md. On 8 contests that nobody here had run anything on, the scan as it runs today found 1 of 105 known High and Medium findings. A newer version, not in production, found 4 of 105. The rule needed at least 5 findings that production does not find, and it found 3, so production stays as it is. The scan still produces hypotheses to review by hand, and it has not been shown to find what a human audit finds.

Update, 24 October 2026, later the same day: version 2 of the scan

The defects described below were fixed and the new version is live. What changed: git submodules are fetched when they point to github.com, tests, mocks, scripts, interfaces and vendored libraries are left out, files are ranked by how likely they move funds and sent in at most six parts, every report states how much of the in-scope code was read, a scan without hypotheses is delivered as such and not as a normal report, hypotheses that name files or functions that are not in the code are dropped, and file links inside a repository are never followed. A free precheck at https://x402.tokenizen.nl/api/bug-intel/precheck?repo=owner/name says before you pay whether the scan counts any Solidity in your repository and roughly how much of it will be read.

The measurement of this version was pre-registered before it ran: PREREGISTRATION-v2-2026-10-24.md. The frozen files are in pipeline/v2.

Result, in RESULTS-v2-2026-10-24.md: none of the 40 known High and Medium findings was found, 0 of 31 on the four contests of the first run and 0 of 9 on three new contests, while 29 percent of the in-scope code was read (8 to 100 percent per contest). 15 of the 40 known findings sit in a file that was read, and none of those was found. The scan produces hypotheses to review by hand. It has not been shown to find the issues that audit contests reward.

Correction and limits (24 October 2026, before version 2)

Reading the production scan code on 24 October 2026 showed that earlier text on this page overstated what the paid scan does. What it does today:

  • It sends the model at most about 22,000 characters of Solidity source per job, taken from up to 60 files in directory order, and it does not skip test or mock folders. On three recent audit-contest repositories (code-423n4/2025-11-merkl, 2025-11-sukukfi and 2026-04-monetrix) that is 3 to 7 percent of the Solidity source.
  • The 7-gate filter is not part of the paid scan. It was taken out because the small model also eliminated real bugs. The report lists raw hypotheses with a self-reported confidence of 0.4 or higher, at most eight, and its disclaimer says so.
  • The sample below ran on a repository that belongs to the corpus the framework was built from. It does not show how the scan does on projects it has not seen, and its label "CONFIRMED by Al-Mizaan validation" does not apply to the scan as it runs today.
  • We have not measured how many real bugs the scan finds on contests it has not seen. A test on closed audit contests is pre-registered in PREREGISTRATION-2026-10-24.md. The baseline ran on 24 October 2026: 0 of 31 findings found, 2 hypotheses reported and neither matches, one job failed and two reports were empty

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