# mcp-webslinger

> mcp-webslinger — webslingerai-webslinger-mcp. Use this tool when you need to automate web-based tasks by recording and replaying user interactions. The mcp-webslinger enables users to execute scripts via the webSlinger browser extension, solving problems such as data extraction, form filling, and workflow automation. It accepts user demonstrations as input and outputs automated scripts that can be run on-demand, scheduled, or triggered via the mcp-server.

Canonical page: https://skillsregistry.net/skills/webslingerai-webslinger-mcp  
JSON: https://api.skillsregistry.net/v1/skills/webslingerai-webslinger-mcp

## Description

The webslinger-mcp server enables users to execute scripts to perform web-based tasks via the webSlinger browser extension. webSlinger is an automation tool where a user demonstrates a task to perform and records a session map which is used to create a script. Such scripts can be run demand, on a schedule, or via the mcp-server.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aoi7h1igzm)
- **Repository:** <https://github.com/webSlingerAI/webslinger-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": "webslingerai-webslinger-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/webslingerai-webslinger-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/webslingerai-webslinger-mcp/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