# linkedin-mcp

> linkedin-mcp — tss99-linkedin-mcp. Use this tool when you need to automate LinkedIn job searches and profile research, solving problems of manual data collection and scraping. It provides read-only access to LinkedIn data via browser automation, taking in search queries and job parameters as inputs and outputting relevant job listings and profile information. Ideal for use cases requiring efficient and automated data extraction from LinkedIn, such as recruitment research or market analysis.

Canonical page: https://skillsregistry.net/skills/tss99-linkedin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tss99-linkedin-mcp

## Description

Read-only MCP server for LinkedIn job search and profile research via browser automation (CDP)

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/TSS99/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": "tss99-linkedin-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tss99-linkedin-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tss99-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