# linkedin-mcp

> linkedin-mcp — hdhnezherparking-cum-y638-intl-ltd-linkedin-mcp. Use this tool when you need to automate LinkedIn account management, such as posting, scheduling, and reading feeds, to streamline social media tasks. It solves problems like manual posting and comment management by driving a local Chrome browser under a logged-in session. The tool takes inputs like post content and schedule, and outputs like feed updates and comment notifications, making it ideal for social media managers and marketers.

Canonical page: https://skillsregistry.net/skills/hdhnezherparking-cum-y638-intl-ltd-linkedin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hdhnezherparking-cum-y638-intl-ltd-linkedin-mcp

## Description

Enables Claude to manage your LinkedIn account and pages (post, schedule, read feed, comments) by driving a real local Chrome browser under your logged-in session.

## Trust

- **Trust score (0–1):** 0.69
- **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/jmnsrqa627)
- **Repository:** <https://github.com/HDHNezherParking-cum-Y638-Intl-Ltd/linkedin-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": "hdhnezherparking-cum-y638-intl-ltd-linkedin-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hdhnezherparking-cum-y638-intl-ltd-linkedin-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hdhnezherparking-cum-y638-intl-ltd-linkedin-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