# LinkedIn Competitor Analysis MCP Server

> LinkedIn Competitor Analysis MCP Server — satvikjain012-cmyk-linkedin-mcp-server. Use this tool when you need to analyze competitor activity on LinkedIn and create engaging content. It solves problems of social media monitoring, content creation, and competitor research by providing insights and generating post concepts. The tool takes in competitor LinkedIn post data and outputs original post concepts, graphics-ready content, and metadata, making it ideal for social media managers and marketers.

Canonical page: https://skillsregistry.net/skills/satvikjain012-cmyk-linkedin-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/satvikjain012-cmyk-linkedin-mcp-server

## Description

Enables users to monitor and analyze competitor LinkedIn posts, extract insights, generate original post concepts, and create graphics-ready content with metadata.

## Trust

- **Trust score (0–1):** 0.68
- **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/df20167dz2)
- **Repository:** <https://github.com/satvikjain012-cmyk/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": "satvikjain012-cmyk-linkedin-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/satvikjain012-cmyk-linkedin-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/satvikjain012-cmyk-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