pulsemcp Safe content atomic mcp-remote

LinkedIn Data API

LinkedIn Profile Analyzer MCP server enables AI assistants to fetch, analyze, and search LinkedIn posts using the LinkedIn Data API. Built by Rugved Patil, it provides tools to retrieve posts for specific usernames, search content by keywords, filter by date ranges, and identify top-performing content based on engagement metrics. The implementation requires a RapidAPI key for authentication and stores retrieved data locally in JSON format, making it particularly valuable for social media analysis, content strategy development, and competitive research workflows.

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/rugvedp/linkedin-mcp
Author type: human
Updated: 2026-04-25

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MCP

Resolve LinkedIn Data API 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"