Neuronto - Agentic Resource Discovery (ARD) Index
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.
What it does
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
What is ARD?
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
Links
- Neuronto - Agentic Resource Discovery (ARD) Index
- Publishing guide
- Free ARD audit
- ARD specification
- Source
Licence
Apache-2.0
Metadata
Release files for agentic-resource-discovery 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| agentic_resource_discovery-1.0.1.tar.gz | 7.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agentic_resource_discovery-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.8 kB
Release files / agentic_resource_discovery-1.0.1.tar.gz
| Download URL | agentic_resource_discovery-1.0.1.tar.gz |
|---|---|
| Size | 7.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cb941184e8a8213b0599c1e8e0469c080ad45ce4aed037afe6a8363f3ee41530
|
|
BLAKE2b-256 checksum How to use checksums |
ca56a2cd8772e16813ee9f4c6f8ae0e2cf1063e2cd648b81150e3c95d978eaf3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
|
Release files / agentic_resource_discovery-1.0.1-py3-none-any.whl
| Download URL | agentic_resource_discovery-1.0.1-py3-none-any.whl |
|---|---|
| Size | 7.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c494188aa3a6fdcebebde9cb1cf512f4c19aa9791c047887f4f134e7fedfdcf1
|
|
BLAKE2b-256 checksum How to use checksums |
623863276d40bfe7d54f4e3165b2bed6f1786d9b9f1e9a908be8bb2819ac4151
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
|