# @isteam/linkedin-mcp

> Use this tool when you need to automate interactions on LinkedIn, such as posting updates, commenting on posts, or liking content. It enables AI agents to manage LinkedIn content and engage with users, solving problems like social media management and content automation. The tool accepts commands and content as input and outputs posted, commented, or liked content on LinkedIn.

Canonical page: https://skillsregistry.net/skills/isteamhq-linkedin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/isteamhq-linkedin-mcp

## Description

MCP server for LinkedIn that enables AI agents to post, comment, like, and manage content on LinkedIn.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/acao5mi9d4)
- **Repository:** <https://github.com/isteamhq/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": "isteamhq-linkedin-mcp"
    }
  }
}
```

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