# EigenLayer Documentation

> Use this tool when you need to access EigenLayer documentation resources through the Model Context Protocol, solving problems of information retrieval and structured data exchange for AI assistants. It provides inputs through SSE and HTTP POST endpoints, and outputs EigenLayer documentation, including blog articles, overview documentation, and developer guides. It is ideal for use cases requiring detailed information about EigenLayer's architecture, capabilities, and implementation details.

Canonical page: https://skillsregistry.net/skills/layr-labs-eigenlayer  
JSON: https://api.skillsregistry.net/v1/skills/layr-labs-eigenlayer

## Description

EigenLayer MCP Server provides a Next.js-based implementation that exposes EigenLayer documentation resources through the Model Context Protocol. The server uses Redis for managing connections and message passing between clients and the MCP handler, supporting both SSE (Server-Sent Events) for persistent connections and HTTP POST endpoints for message exchange. It serves multiple EigenLayer documentation resources including blog articles, overview documentation, middleware, contracts, and developer guides, making it valuable for AI assistants that need to access structured information about EigenLayer's architecture, capabilities, and implementation details.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/layr-labs-eigenlayer)
- **Repository:** <https://github.com/layr-labs/eigenlayer-mcp-server>

## 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": "layr-labs-eigenlayer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/layr-labs-eigenlayer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/layr-labs-eigenlayer/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