# E2LLM

> E2LLM — com-e2llm-element-to-llm. Use this tool when you need to interact with web pages in a more human-like way, enabling your AI to perceive and understand structured web data and perform actions within a real browser environment. E2LLM solves problems related to web automation, data extraction, and testing by providing a unique combination of structured perception and action capabilities. It takes in web page inputs and outputs actionable data and interactions, making it ideal for use cases that require AI-driven web browsing and automation.

Canonical page: https://skillsregistry.net/skills/com-e2llm-element-to-llm  
JSON: https://api.skillsregistry.net/v1/skills/com-e2llm-element-to-llm

## Description

E2LLM gives your AI eyes and hands in a real browser: structured perception (SiFR) plus action.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.5.78
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.e2llm%2Felement-to-llm)
- **Repository:** <https://github.com/e2llm/e2llm-sifr>

## Use it

MCP endpoint published by the skill: `https://mcp.e2llm.com/mcp`

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": "com-e2llm-element-to-llm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-e2llm-element-to-llm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-e2llm-element-to-llm/pull`

---
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