# LinkedIn MCP Server

> LinkedIn MCP Server — jahnavi-yarramsetty-linkedin-mcp-server. Use this tool when you need to access and read your own LinkedIn posts and articles within Claude Desktop, solving the problem of fragmented content management across multiple platforms. It utilizes LinkedIn's official OAuth 2.0 API to securely authenticate and retrieve your content. Ideal for users seeking to integrate their LinkedIn publications into a centralized workspace.

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

## Description

Enables reading your own LinkedIn posts and articles inside Claude Desktop via LinkedIn's official OAuth 2.0 API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wf1whhs61m)
- **Repository:** <https://github.com/jahnavi-yarramsetty/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": "jahnavi-yarramsetty-linkedin-mcp-server"
    }
  }
}
```

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