# linkedin-mcp

> Use this tool when you need to automate LinkedIn interactions, such as publishing posts or engaging with content, while ensuring safety and efficiency through features like daily budgets and deduplication. It enables AI agents to interface with LinkedIn as an authenticated user, accepting inputs like post content and images, and producing outputs like published posts and comments. Ideal for use cases requiring automated social media management and content distribution on LinkedIn.

Canonical page: https://skillsregistry.net/skills/2060-io-linkedin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/2060-io-linkedin-mcp

## Description

Enables AI agents to publish posts, images, comments, and reactions to LinkedIn as the authenticated user, with built-in safety features like daily budgets and deduplication.

## Trust

- **Trust score (0–1):** 0.66
- **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/lye5p6c92j)
- **Repository:** <https://github.com/2060-io/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": "2060-io-linkedin-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/2060-io-linkedin-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/2060-io-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