# LinkedIn

> Use this tool when you need to automate interactions with LinkedIn for job applications, profile retrieval, and feed searching. It solves problems such as manual job searching, candidate screening, and content curation by providing inputs like profile IDs, job search queries, and resume PDFs, and outputs like profile information, job listings, and parsed resume data. It is ideal for use cases like job matching, automated candidate screening, and personalized content recommendation, simplifying LinkedIn engagement without requiring direct interaction with the API.

Canonical page: https://skillsregistry.net/skills/hritik003-linkedin-integration  
JSON: https://api.skillsregistry.net/v1/skills/hritik003-linkedin-integration

## Description

This MCP server for LinkedIn, developed by Hritik Raj, enables AI agents to interact with LinkedIn's platform for job applications and feed searching. Built using Python and leveraging the unofficial LinkedIn API, it provides tools for profile retrieval, advanced job searching, feed post retrieval, and resume analysis. The implementation focuses on simplifying LinkedIn interactions, offering functionality to extract key profile information, perform customizable job searches, and parse resumes in PDF format. It's particularly useful for applications requiring automated LinkedIn engagement, enabling use cases such as job matching, content curation, and candidate screening without directly dealing with LinkedIn's API complexities.

## Trust

- **Trust score (0–1):** 0.96
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/hritik003-linkedin-integration)
- **Repository:** <https://github.com/hritik003/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": "hritik003-linkedin-integration"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hritik003-linkedin-integration` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hritik003-linkedin-integration/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