Deploy to Agents

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.

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取開發者工具

概覽

AI 產生的概覽

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。

可以做什麼
對公開的 HTTP 或 HTTPS 應用程式排入一次有範圍限制的稽核,並回傳一個未公開列出的收據連結,然後反覆查詢結果直到處理完成,查看狀態、評分、發現項目、隱私狀態和證據連結。把已完成的技術稽核轉化為依優先順序排序的修復與散布計畫,涵蓋官方登錄庫、公開程式碼儲存庫、客戶證據和獨立探索。取得服務方自身的公開自稽核證據,包括技術就緒度與獨立探索之間明確劃定的界線。
適用情境
當你希望助理評估某個公開網站或應用程式面向代理散布的就緒程度,並依據稽核發現草擬具體、有證據支撐的修復與上架計畫時適用。
執行需求
遠端 Streamable HTTP 端點,不需要本機執行環境或安裝套件。README 說明伺服器會驗證登入組織是否擁有目標主機名稱,因此稽核隱含需要帳號並登入。
安裝前請注意
稽核針對公開的 HTTP 或 HTTPS 應用程式,並產生未公開列出的收據連結,應把這些連結視為敏感資訊。README 說明此服務不保證任何模型會推薦,獨立探索也尚未獲得證實,不要把評分當作背書。README 也說明它避免虛假證言、自動發文和操縱排名。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Deploy to Agents,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

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。

交給代理程式安裝

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。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

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"
    }
  }
}

README

Deploy to Agents SDK

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.

Agent-first CLI

bash
npx deploytoagents loginnpx deploytoagents whoaminpx deploytoagents portfolio --jsonnpx deploytoagents discovery --jsonnpx deploytoagents discovery-record --input observation.json --jsonnpx deploytoagents audit https://example.com --json

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.

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"]}

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.

Connect directly through MCP

Use this Streamable HTTP endpoint in any compatible MCP client:

text
https://deploytoagents.com/mcp

Available tools:

  • audit_app
  • get_audit_result
  • create_distribution_plan
  • get_customer_zero_evidence

JavaScript client

bash
npm install deploytoagents
js
import { 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();}

Python client

bash
pip install deploytoagents
python
from deploytoagents import DeployToAgentsClient
async with DeployToAgentsClient() as client:    queued = await client.audit_app("https://example.com")    print(queued["receipt_url"])

Customer Zero

Deploy 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.

Development

bash
npm installnpm testnpm run smoke

Evidence policy

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.

License

MIT

來源:README.md,提交 52d35c2

工具

4

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.

輸入參數url必填

get_audit_result

Get an audit result

Retrieve the current status, score, findings, privacy state, and evidence URL for an audit UUID.

輸入參數audit_id必填

create_distribution_plan

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.

輸入參數audit_id必填

get_customer_zero_evidence

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。

版本歷史

1
  1. v0.3.0最新Sep 16, 2026

評分

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。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分

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