LinkedIn MCP Server

What is MCP (Model Context Protocol)?

MCP is a protocol that allows AI assistants (like Claude) to interact with external tools and data sources. This MCP server connects to various APIs and services.

How to Use MCP Servers

1. Install the MCP server in Claude Desktop's config
2. The server provides tools the AI can use
3. Ask Claude to use the tools (e.g., "Search for local businesses...")

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MCP Server for LinkedIn - enables AI assistants like Claude to scrape profiles, analyze posts, train voice models, and generate content. Integrates with Claude Desktop and other MCP clients.

Features

• Model Context Protocol (MCP) compatible
• Works with Claude and other AI assistants
• Structured data output
• Multiple data sources

Quick Start

{
  "input": "your input here"
}

Demo Mode

Set demoMode: true to test with sample data (no charges). When you're ready for real results, set demoMode: false or omit it.

{
  "demoMode": true,
  ...
}

Input Parameters

Parameter	Type	Required	Description
See input schema

Output Format

{
  "data": [...]
}

Pricing

This actor uses pay-per-event billing:

• data_point: $0.01 per result

Use Cases

Personal Branding

• Voice consistency: Maintain your unique voice across all posts
• Content ideation: Get topic suggestions based on your style
• Draft improvement: Polish drafts to match your voice

Ghostwriting

• Client voice training: Learn a client's writing style
• Authentic content: Generate posts that sound like them
• Quality control: Ensure drafts match the trained voice

Content Agencies

• Scale content creation: Generate drafts for multiple clients
• Consistency: Maintain unique voices across accounts
• Research: Analyze competitor content strategies

Lead Generation

• Profile research: Gather info on prospects
• Connection outreach: Research before connecting
• Content targeting: Find people engaging with relevant topics

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Common Problems & Solutions

"Invalid API key" error

Cause: Your API key is wrong, expired, or doesn't have the right permissions. Fix: Double-check your API key. Make sure you copied it exactly without extra spaces.

"Rate limit exceeded" error

Cause: You've hit the API's rate limits. Fix: Wait a few minutes, then try again. Consider reducing the number of concurrent requests.

Empty or incomplete results

Cause: The target may have anti-scraping protection or the data doesn't exist. Fix:

• Check if the URL/search query is correct
• Try with different parameters
• Some sites may block automated access

Demo data showing instead of real results

Cause: demoMode is still set to true. Fix: Set demoMode: false and provide your API key(s).

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Built by John Rippy | Actor Arsenal