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 发布官方发布者v0.3.0更新于 Oct 25, 2026
Audit agent-distribution surfaces and create an evidence-based distribution plan.
远程 MCP 服务器,审计公开应用的面向智能体的表面,并把结果转化为按优先级排序的分发计划。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/com.deploytoagents%2Fserver/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"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
来源: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.
无需输入参数。
已满足适用检查项的 100%
该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。
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