pulsemcp Safe content atomic mcp-remote

LinkedIn MCP Server provides a bridge to the LinkedIn API, enabling AI assistants to search for profiles, retrieve detailed professional information, search job postings, and send messages through a standardized protocol. Built with TypeScript using the Model Context Protocol SDK, it implements OAuth authentication with LinkedIn's API and includes comprehensive metrics tracking for performance monitoring. The server exposes seven tools for LinkedIn interactions including people search, profile retrieval, job search, and messaging capabilities, making it ideal for recruitment workflows, professional networking, and career research applications.

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: social-media
Source: PulseMCP
Repository: github.com/felipfr/linkedin-mcpserver
Author type: human
Updated: 2026-05-27

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MCP

Resolve LinkedIn 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"