# LinkedIn Godmode

> LinkedIn Godmode — samihalawa-linkedin-godmode-plugin. Use this tool when you need to automate LinkedIn interactions or scrape data from the platform, as it provides a robust browser automation solution with HTTP primitives and support for local or cloud browsers. It solves problems related to LinkedIn data extraction, profile management, and automated messaging, offering a range of inputs including browser settings and HTTP requests. Outputs include automated LinkedIn session control and scraped data, making it ideal for use cases requiring efficient and deterministic LinkedIn operations.

Canonical page: https://skillsregistry.net/skills/samihalawa-linkedin-godmode-plugin  
JSON: https://api.skillsregistry.net/v1/skills/samihalawa-linkedin-godmode-plugin

## Description

An MCP server providing generic browser automation and HTTP primitives for operating a LinkedIn session, supporting local Chromium or cloud browsers, with deterministic tools and optional AI tasks.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m57e4zyznn)
- **Repository:** <https://github.com/samihalawa/linkedin-godmode-plugin>

## 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": "samihalawa-linkedin-godmode-plugin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/samihalawa-linkedin-godmode-plugin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/samihalawa-linkedin-godmode-plugin/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