# erc8004-agent-liveness

> erc8004-agent-liveness — nexus-mcp-infra-erc8004-agent-liveness. Use this tool when you need to verify the liveness of an ERC-8004-registered agent, solving problems of uncertain agent reachability and registration status. It takes an agent's on-chain registration as input and returns a verdict on its liveness, such as REGISTERED_UNREACHABLE or AGENT_NOT_FOUND, through an MCP handshake. Use it in contexts where agent availability is crucial, such as decentralized applications or blockchain-based services.

Canonical page: https://skillsregistry.net/skills/nexus-mcp-infra-erc8004-agent-liveness  
JSON: https://api.skillsregistry.net/v1/skills/nexus-mcp-infra-erc8004-agent-liveness

## Description

Enables users to verify whether an ERC-8004-registered agent is currently reachable by resolving its on-chain registration and performing a live MCP handshake, returning verdicts such as REGISTERED_UNREACHABLE or AGENT_NOT_FOUND.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pauek6tlug)
- **Repository:** <https://github.com/nexus-mcp-infra/erc8004-agent-liveness>

## 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": "nexus-mcp-infra-erc8004-agent-liveness"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nexus-mcp-infra-erc8004-agent-liveness` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nexus-mcp-infra-erc8004-agent-liveness/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