# agent-passport-system-mcp

> Use this tool when you need to establish secure and trusted interactions between AI agents, solving problems of identity verification, communication security, and compliance. The agent-passport-system-mcp provides a comprehensive protocol with 38 tools across 8 layers, accepting inputs such as identity credentials and policy rules, and outputting trusted communication and task coordination. Use it in contexts where secure multi-agent collaboration and decision-making are critical, such as distributed AI systems or autonomous networks.

Canonical page: https://skillsregistry.net/skills/aeoess-agent-passport-system-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aeoess-agent-passport-system-mcp

## Description

Cryptographic identity and trust protocol for AI agents. 38 MCP tools across 8 protocol layers: Ed25519 identity, delegation chains, values compliance, signed communication, policy engine, task coordination, cross-layer integration, and agentic commerce. 264 tests passing.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w5xgutm764)
- **Repository:** <https://github.com/aeoess/agent-passport-mcp>

## 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": "aeoess-agent-passport-system-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aeoess-agent-passport-system-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aeoess-agent-passport-system-mcp/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