# EigenLayer AVS Explorer

> Use this tool when you need to explore and understand the Active Validator Services (AVS) within EigenLayer's decentralized validation ecosystem. It solves problems of data discovery and analysis by providing detailed information about AVS through a simple query interface that accepts user prompts and optional AVS names. The tool outputs structured responses to help users make informed decisions about the ecosystem.

Canonical page: https://skillsregistry.net/skills/omarwarraich-eigenlayer-avs-explorer  
JSON: https://api.skillsregistry.net/v1/skills/omarwarraich-eigenlayer-avs-explorer

## Description

EigenLayer AVS service is a Model Context Protocol server that connects to the EigenLayer API to provide detailed information about Active Validator Services (AVS). The implementation uses Claude 3.7 Sonnet to analyze AVS data retrieved from the EigenExplorer API and respond to user queries with structured, informative responses. It exposes a single tool called 'getAVSs' that accepts user prompts and optional specific AVS names, making it particularly valuable for users seeking to understand EigenLayer's decentralized validation ecosystem without leaving their conversation interface.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/omarwarraich-eigenlayer-avs-explorer)
- **Repository:** <https://github.com/omarmwarraich/eigenlayer-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": "omarwarraich-eigenlayer-avs-explorer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/omarwarraich-eigenlayer-avs-explorer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/omarwarraich-eigenlayer-avs-explorer/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