# agentic-resource-discovery

> agentic-resource-discovery — neuronto-agentic-resource-discovery. Use this tool when you need to discover and retrieve resources across multiple registries and servers, solving problems of resource fragmentation and discovery in decentralized systems. It provides a federated search function with hybrid lexical and semantic retrieval, taking in search queries and returning relevant resources from public ARD registries and verified tool indexes. Ideal for use cases requiring comprehensive resource discovery, such as development, research, and integration projects.

Canonical page: https://skillsregistry.net/skills/neuronto-agentic-resource-discovery  
JSON: https://api.skillsregistry.net/v1/skills/neuronto-agentic-resource-discovery

## Description

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 retrieval, and ARD-Bench.

## Trust

- **Trust score (0–1):** 0.23
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/neuronto/agentic-resource-discovery)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "neuronto-agentic-resource-discovery"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neuronto-agentic-resource-discovery` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neuronto-agentic-resource-discovery/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
