Neuronto Agentic Resource Discovery (ARD) Index. Federated search across every public ARD registry, plus a verified tool index read from each MCP server's own tools/list, hybrid lexical and semantic r
Neuronto ARD Registry: Agentic Resource Discovery (ARD) Index
One search across every public ARD registry, plus a verified index of what MCP servers actually expose.
neuronto.com · API · Submit your server · Benchmark · Dataset · Manifest
ARD is short for Agentic Resource Discovery, an 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.
An agentic resource is anything an AI client can call to get work done: an MCP server, an A2A agent, a skill, an API, a workflow.
ARD answers one question, "what is available for this task?", and then gets out of the way. It is not a runtime and does not replace MCP or A2A. It tells an agent what exists; the agent connects using the resource's own protocol.
Today an agent can only use capabilities someone installed for it in advance. Every tool has to be wired in by hand, and every tool description has to sit in the context window, competing for space with the actual work. That model does not survive contact with an ecosystem of thousands of tools, let alone millions.
ARD moves the selection problem out of the context window and into a search service, the same shift the early web made when it went from curated link directories to search engines.
For that to work, two sides have to exist. Publishers describe what they offer at a well-known location on their own domain. Registries index those descriptions and answer queries. Neuronto is both.
From the project README.
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