# LinkedIn MCP Server

> Use this tool when you need to streamline your LinkedIn content creation and publishing process. It enables drafting, formatting, analyzing, and publishing posts directly from compatible clients, solving problems of inefficient content management and cross-platform compatibility. Ideal for social media managers and marketers, it accepts post drafts and formatting inputs, and outputs published LinkedIn posts.

Canonical page: https://skillsregistry.net/skills/utsavagg2007-linkedin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/utsavagg2007-linkedin-mcp

## Description

Enables drafting, formatting, analyzing, and publishing LinkedIn posts directly from MCP-compatible clients like Claude.

## 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:** social-media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zqzgfds7it)
- **Repository:** <https://github.com/utsavagg2007/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": "utsavagg2007-linkedin-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/utsavagg2007-linkedin-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/utsavagg2007-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