# ATKN (Agent Trust & Knowledge Network)

> Use this tool when you need to establish trust and verify identities within agent ecosystems, as it scores trust, certifies agents, and manages registrations through a Neo4j-backed knowledge graph, providing a robust interface for querying and interacting with agent networks. It solves problems related to agent authentication, authorization, and knowledge management, enabling secure and reliable interactions between agents. Ideal for use cases requiring decentralized trust management and complex knowledge querying.

Canonical page: https://skillsregistry.net/skills/jlazoff-atkn  
JSON: https://api.skillsregistry.net/v1/skills/jlazoff-atkn

## Description

Trust-and-knowledge MCP server for agent ecosystems: score trust, verify/certify agents, register identities, and query a Neo4j-backed knowledge graph.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-10

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/jlazoff/atkn)

## 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": "jlazoff-atkn"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jlazoff-atkn` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jlazoff-atkn/pull`

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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