LinkedIn Post

v1.0.0Communicationstable

MCP server for linkedin post

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What is LinkedIn Post?

LinkedIn Post is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for linkedin post

MCP server for linkedin post

This server falls under the Communication category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for linkedin post

Use Cases

MCP server for linkedin post
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y linkedin-post

Manual Installation

npx -y linkedin-post

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about LinkedIn Post

What is LinkedIn Post?

LinkedIn Post is a Model Context Protocol (MCP) server that mcp server for linkedin post It connects AI assistants to external tools and data sources through a standardized interface.

How do I install LinkedIn Post?

Install via npm with the command: npx -y linkedin-post. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with LinkedIn Post?

LinkedIn Post works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is LinkedIn Post free to use?

Yes, LinkedIn Post is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Communication MCP Servers

Explore all communication servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "linkedin-post": { "command": "npx", "args": ["-y", "linkedin-post"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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