Deploy to Agents

com.deploytoagentsPublished by deploytoagents.comOfficial publisherv0.3.0Updated Oct 25, 2026

Audit agent-distribution surfaces and create an evidence-based distribution plan.

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingDeveloper Tools

Overview

AI-generated overview

Remote MCP server that audits a public app's agent-facing surfaces and turns the results into a prioritized distribution plan.

What you can do
Queue a bounded audit of a public HTTP or HTTPS app and get an unlisted receipt URL back, then poll the result until processing finishes to see status, score, findings, privacy state and evidence link. Turn a completed technical audit into a prioritized remediation and distribution plan covering official registries, public repositories, customer evidence and independent discovery. Retrieve the provider's own public self-audit evidence, including the stated boundary between technical readiness and independent discovery.
When to use it
Useful when you want an assistant to check how ready a public site or app is for agent-facing distribution and to draft a concrete, evidence-based remediation and listing plan from the audit findings.
Requirements
A remote Streamable HTTP endpoint; no local runtime or package needed. The README says the server verifies that the signed-in organization owns the target hostname, so an account and sign-in are implied for audits.
Before you install
Audits target public HTTP or HTTPS apps and produce unlisted receipt URLs, so treat those links as sensitive. The README states the service does not guarantee recommendation by any model and that independent discovery is not yet proven; do not treat scores as endorsement. The README also says it avoids fake testimonials, automated posts and ranking manipulation.

Installation

In SourceWeft

  1. Open Deploy to Agents in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.deploytoagents%2Fserver/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "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

Source: README.md at commit 52d35c2

Tools

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.

Parametersurlrequired

get_audit_result

Get an audit result

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

Parametersaudit_idrequired

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.

Parametersaudit_idrequired

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.

Takes no parameters.

Version history

1
  1. v0.3.0LatestSep 16, 2026

Score

100% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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