audit_app
Audit an app for agent distribution
Queue a bounded audit of a public HTTP or HTTPS app and return an unlisted receipt URL. Reuse get_audit_result until processing completes.
url必填
com.deploytoagents由 deploytoagents.com 發布官方發布者v0.3.0更新於 Oct 25, 2026
Audit agent-distribution surfaces and create an evidence-based distribution plan.
遠端 MCP 伺服器,稽核公開應用程式面向代理的表面,並把結果轉化為依優先順序排序的散布計畫。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/com.deploytoagents%2Fserver/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"deploy-to-agents": {
"type": "http",
"url": "https://deploytoagents.com/mcp"
}
}
}Public JavaScript client and registry metadata for the Deploy to Agents remote MCP server.
The remote server is published in the official MCP Registry as com.deploytoagents/server and is served from https://deploytoagents.com/mcp. The JavaScript client and authenticated agent-first CLI are published as [email protected] on npm, with an equivalent deploytoagents==0.1.1 client on PyPI.
The package installs both deploytoagents and the shorter d2a command. Google login uses Authorization Code with PKCE and a temporary loopback callback. On Windows the refresh credential is encrypted for the current OS user with DPAPI; CI can provide a short-lived identity token through DEPLOYTOAGENTS_TOKEN. Discovery Lab can be read or supplied with a JSON observation file (or stdin via --input -). All command results and errors have stable JSON forms for agent use.
Valid outcomes are recommended, mentioned, not-mentioned, and error. The server verifies that the signed-in organization owns the target hostname.
Deploy to Agents currently audits public agent-facing surfaces, returns unlisted evidence receipts, and creates prioritized technical and external-authority distribution plans. It does not yet claim to publish every customer artifact or guarantee recommendation by any model.
Use this Streamable HTTP endpoint in any compatible MCP client:
Available tools:
audit_appget_audit_resultcreate_distribution_planget_customer_zero_evidenceDeploy to Agents uses its own system as its first customer. The current 100/100 receipt verifies technical surfaces only. Independent, unbranded discovery remains explicitly not-yet-proven.
This project distinguishes owned evidence, externally verified artifacts, and independent recommendations. It does not create fake testimonials, automated community posts, coordinated votes, or links intended primarily to manipulate rankings.
MIT
來源:README.md,提交 52d35c2
Audit an app for agent distribution
Queue a bounded audit of a public HTTP or HTTPS app and return an unlisted receipt URL. Reuse get_audit_result until processing completes.
url必填Get an audit result
Retrieve the current status, score, findings, privacy state, and evidence URL for an audit UUID.
audit_id必填Create an evidence-based distribution plan
Turn a completed technical audit into prioritized remediation plus official-registry, public-repository, customer-evidence, and independent-discovery actions.
audit_id必填Get Deploy to Agents Customer Zero evidence
Return the public self-audit evidence and the explicit boundary between technical readiness and independent discovery.
無需輸入參數。
已滿足適用檢查項的 100%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
npx deploytoagents loginnpx deploytoagents whoaminpx deploytoagents portfolio --jsonnpx deploytoagents discovery --jsonnpx deploytoagents discovery-record --input observation.json --jsonnpx deploytoagents audit https://example.com --json{ "hostname": "example.com", "surface": "claude", "model": "model label shown by the surface", "prompt": "Exact generic, unbranded prompt", "outcome": "not-mentioned", "freshSession": true, "responseExcerpt": "Optional relevant excerpt", "citations": ["https://example.org/source"]}https://deploytoagents.com/mcpnpm install deploytoagentsimport { DeployToAgentsClient } from "deploytoagents";
const client = new DeployToAgentsClient();
try { const queued = await client.auditApp("https://example.com"); console.log(queued.receipt_url);
const result = await client.getAuditResult(queued.audit_id); if (result.status === "completed") { console.log(await client.createDistributionPlan(queued.audit_id)); }} finally { await client.close();}pip install deploytoagentsfrom deploytoagents import DeployToAgentsClient
async with DeployToAgentsClient() as client: queued = await client.audit_app("https://example.com") print(queued["receipt_url"])npm installnpm testnpm run smoke