# linkedin-mcp-custom

> linkedin-mcp-custom — outpost2026-linkedin-mcp-analyzer. Use this tool when you need to analyze and prioritize saved LinkedIn jobs based on their effectiveness and potential return on investment. It solves the problem of manually evaluating job listings by applying EROI scoring and automating the reporting process. The tool takes in saved LinkedIn jobs as input and outputs analyzed data to a knowledge base for informed decision-making.

Canonical page: https://skillsregistry.net/skills/outpost2026-linkedin-mcp-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/outpost2026-linkedin-mcp-analyzer

## Description

Analyzes LinkedIn saved jobs with EROI scoring and writes analysis back to a knowledge base for automated reporting.

## Trust

- **Trust score (0–1):** 0.58
- **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/sqt16fo6g4)
- **Repository:** <https://github.com/outpost2026/linkedin-mcp-analyzer>

## 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": "outpost2026-linkedin-mcp-analyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/outpost2026-linkedin-mcp-analyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/outpost2026-linkedin-mcp-analyzer/pull`

---
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