# LinkedIn Archive MCP

> LinkedIn Archive MCP — nudavinci64-linkedin-archive-mcp. Use this tool when you need to access and manage your LinkedIn profile data locally, without relying on API keys or web scraping. It enables reading and editing of profile information, including positions, skills, posts, and connections, and supports cross-checking against résumés. Ideal for drafting and refining professional profiles, résumés, and online presence, with direct import from LinkedIn data exports.

Canonical page: https://skillsregistry.net/skills/nudavinci64-linkedin-archive-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nudavinci64-linkedin-archive-mcp

## Description

Enables Claude to read your own LinkedIn profile directly from a local data export, with no API keys, OAuth, or scraping. Tools cover profile, positions, skills, posts, connections, and more, supporting editing drafts and cross-checking against résumés.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/ittu4qjngd)
- **Repository:** <https://github.com/nudavinci64/linkedin-archive-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": "nudavinci64-linkedin-archive-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nudavinci64-linkedin-archive-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nudavinci64-linkedin-archive-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