# shrinkedin-mcp

> shrinkedin-mcp — james-see-shrinkedin-mcp. Use this tool when you need to integrate LinkedIn data into your application, such as searching profiles, posts, and company information. It solves problems related to social media data aggregation and enrichment, providing access to LinkedIn's vast repository of professional data. With git capabilities, it accepts API queries as input and returns relevant LinkedIn data as output.

Canonical page: https://skillsregistry.net/skills/james-see-shrinkedin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/james-see-shrinkedin-mcp

## Description

MCP server for LinkedIn integration — search profiles, posts, and company data

## Trust

- **Trust score (0–1):** 0.93
- **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/james-see/shrinkedin-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": "james-see-shrinkedin-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/james-see-shrinkedin-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/james-see-shrinkedin-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