# Grasp

> Use this tool when you need to automate web browsing tasks through natural language instructions, enabling AI apps and agents to interact with websites in a human-like manner. Grasp solves problems related to web automation, such as data extraction and website interaction, by providing a dockerized browser environment. It takes natural language inputs and outputs automated browser interactions, making it ideal for use cases that require simulating human-like web browsing behavior.

Canonical page: https://skillsregistry.net/skills/aircodelabs-grasp  
JSON: https://api.skillsregistry.net/v1/skills/aircodelabs-grasp

## Description

An open-source self-hosted browser agent that provides a dockerized browser environment for AI automation, allowing other AI apps and agents to perform human-like web browsing tasks through natural language instructions.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p4hkqtvbgh)
- **Repository:** <https://github.com/aircodelabs/grasp>

## 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": "aircodelabs-grasp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aircodelabs-grasp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aircodelabs-grasp/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