# linkedit-mcp

> linkedit-mcp — simbiolabs-linkedit-mcp. Use this tool when you need to manage and update LinkedIn profiles programmatically, solving problems such as outdated work experience or missing skills. It enables AI assistants to read and edit profile sections like headline, about section, and education through OAuth 2.0 authentication. Ideal for use cases requiring automated profile maintenance, data synchronization, or content optimization.

Canonical page: https://skillsregistry.net/skills/simbiolabs-linkedit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/simbiolabs-linkedit-mcp

## Description

Enables AI assistants to read and edit LinkedIn profiles including headline, about section, work experience, education, and skills through OAuth 2.0 authentication.

## Trust

- **Trust score (0–1):** 0.69
- **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/y0ct4et4f1)
- **Repository:** <https://github.com/SimbioLabs/linkedit-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": "simbiolabs-linkedit-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/simbiolabs-linkedit-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/simbiolabs-linkedit-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