# LinkedIn MCP Server

> Use this tool when you need to integrate LinkedIn functionality into AI assistants, enabling them to manage posts, events, and interactions on the platform. It solves problems related to social media automation, content management, and user engagement, providing a seamless interface for creating, listing, and deleting posts, as well as uploading images and commenting. With OAuth 2.0 authentication and local post history tracking, it offers a secure and reliable way to interact with the LinkedIn REST API v2.

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

## Description

An MCP server for LinkedIn REST API v2 that enables AI assistants to create, list, and delete posts, manage events, upload images, comment, and react—featuring OAuth 2.0 with session persistence, local post history tracking, and multiple automated tests

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tch276q5rc)
- **Repository:** <https://github.com/souravdasbiswas/linkedin-mcp-server>

## 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": "souravdasbiswas-linkedin-mcp-server"
    }
  }
}
```

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