pulsemcp Safe content atomic mcp-remote

LinkedIn Job Assistant

LinkedIn MCP Server provides a bridge between AI assistants and LinkedIn's professional networking platform. This implementation enables automated interactions with LinkedIn including job searching, profile viewing, resume generation, and job applications through both API and browser-based methods. The server handles authentication, session management, and data caching while offering AI-powered features for tailoring resumes and generating cover letters based on job descriptions. Particularly useful for job seekers looking to automate their application process, recruiters searching for candidates, or professionals wanting to maintain their LinkedIn presence through AI assistance.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: browser-automation
Source: PulseMCP
Repository: github.com/rayyan9477/linkedin_mcp
Author type: human
Updated: 2026-04-25

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MCP

Resolve LinkedIn Job Assistant from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"