Observed since 20 Oct, 22:21 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
Neuronto - Agentic Resource Discovery (ARD) Index. Make your API, MCP server or AI agent discoverable by AI agents. Alias for ard-publish.
Alias package. This installs ard-publish
and re-exports it, so the tool is installable under the full term as well as the
short one.
pip install agentic-resource-discovery # this package
pip install ard-publish # identical, shorter to type
Both give you the same module and the same CLI.
Build, validate and verify an Agentic Resource Discovery (ARD) manifest — the
/.well-known/ard.json file that lets AI agents find your API, MCP server or agent at
runtime, without anyone installing it in advance.
from agentic_resource_discovery import Manifest, Entry
m = Manifest(host="example.com", display_name="Example Inc")
m.add(Entry.mcp_server(
name="weather", display_name="Weather API", host="example.com",
url="https://example.com/.well-known/mcp/server-card.json",
description="Current conditions and forecasts for any location.",
queries=["what is the weather in Berlin", "will it rain in London tomorrow"],
))
m.save(".well-known/ard.json")
ard-publish check example.com # which registries actually return you
ARD stands for Agentic Resource Discovery: the open specification for how AI agents find the tools, skills, agents and APIs they need, published in June 2026 by a working group including Google, Microsoft, Hugging Face, AWS, Cisco, GitHub, Nvidia, Salesforce and Snowflake.
Full documentation lives on the main package: pypi.org/project/ard-publish
Apache-2.0
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 1.0.1 | 31 Aug 2026 | 1 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 22:21 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:fba8cfdee43f1baa9c6e2d49aa83bcd4d11dcc20d35b58c88328b8a1fd61805e