# LinkedIn Automated Post Creator

> Use this tool when you need to streamline your LinkedIn content management and automate posting schedules. It solves the problem of manual post creation and scheduling, saving time and increasing productivity for social media managers. The tool takes in content and scheduling inputs and outputs automated LinkedIn posts, ideal for use in social media marketing and content management contexts.

Canonical page: https://skillsregistry.net/skills/vijayaahirejadhav-mcp-server-project  
JSON: https://api.skillsregistry.net/v1/skills/vijayaahirejadhav-mcp-server-project

## Description

Automates the creation and scheduling of LinkedIn posts using MCP server integration, allowing users to manage content and automatically publish to their LinkedIn accounts.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o6m91h33jo)
- **Repository:** <https://github.com/vijayaahirejadhav/MCP-Server-Project>

## 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": "vijayaahirejadhav-mcp-server-project"
    }
  }
}
```

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