# linkedin-discovery-mcp

> linkedin-discovery-mcp — ayaankhan0111-linkedindiscoverymcp. Use this tool when you need to discover public LinkedIn profiles based on specific criteria without requiring a login. It solves problems related to finding relevant professionals or individuals on LinkedIn by utilizing natural-language search and providing a ranked shortlist with match reasoning. The tool takes in natural-language criteria as input and returns a list of matching profiles with explanations, making it ideal for research, recruitment, or networking purposes.

Canonical page: https://skillsregistry.net/skills/ayaankhan0111-linkedindiscoverymcp  
JSON: https://api.skillsregistry.net/v1/skills/ayaankhan0111-linkedindiscoverymcp

## Description

Enables discovering public LinkedIn profiles via natural-language criteria, using DuckDuckGo search snippets to return a ranked shortlist with match reasoning, without logging into LinkedIn.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vgyf9c8yx0)
- **Repository:** <https://github.com/AyaanKhan0111/LinkedInDiscoveryMCP>

## 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": "ayaankhan0111-linkedindiscoverymcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ayaankhan0111-linkedindiscoverymcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ayaankhan0111-linkedindiscoverymcp/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