AI-Assistants-Control-LinkedIn

Name: AI-Assistants-Control-LinkedIn
Availability: InStock
Author: Linked API

MCP server that lets AI assistants control LinkedIn accounts and retrieve real-time data.

MCP Free Verified stdio 17 lines By Linked API Awesome List - punkpeye/awesome-mcp-servers Social Media

Description

MCP server that lets AI assistants control LinkedIn accounts and retrieve real-time data.

Quick Install

npx linkedapi-mcp

Installation

1. Run: npx linkedapi-mcp
2. Add the MCP server configuration to your Claude Code settings
3. Restart Claude Code to connect to the MCP server

Stack & Dependencies

sdk linkedapi-node zod

Related Skills & MCPs

Frequently Asked Questions

What technologies does AI-Assistants-Control-LinkedIn require?

This MCP server requires sdk, linkedapi-node, and zod. Ensure these are available in your environment before configuring it with Claude Code.

How does AI-Assistants-Control-LinkedIn communicate with Claude?

AI-Assistants-Control-LinkedIn uses the stdio transport protocol to communicate with Claude Code via the Model Context Protocol.

How do I install AI-Assistants-Control-LinkedIn?

You can install AI-Assistants-Control-LinkedIn using npx: `npx linkedapi-mcp`. Add it to your Claude Code MCP configuration to start using it.

Is AI-Assistants-Control-LinkedIn free to use?

AI-Assistants-Control-LinkedIn is completely free to use. You can download the configuration or copy it directly from the page.

Download Config GitHub

Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code. Ask them to search for leads, send messages, analyze profiles, and much more – they'll handle it through our cloud browser, safely and automatically.

## Use cases
- **Sales automation assistant**. Ask your AI to find leads, check their profiles, and draft personalized outreach. It can search for "software engineers at companies with 50-200 employees in San Francisco", analyze their backgrounds, and suggest connection messages that actually make sense.
- **Recruitment assistant**. Let your assistant search for candidates with specific skills, review their experience, and send initial outreach. It handles the time-consuming parts while you focus on actually talking to people.
- **Conversation assistant**. Your AI can read your existing LinkedIn conversations and help you respond naturally. It understands the context of your chats, suggests relevant replies, and can even send follow-up messages.
- **Market research assistant**. Need competitor analysis? Your assistant can gather data about companies, their employees, and recent activities. Get insights about industry trends without spending hours on LinkedIn.

## Get started
To start using Linked API MCP, spend 2 minutes reading these essential guides:

1. [Installation](https://linkedapi.io/mcp/installation/) – set up MCP in Claude, Cursor, VS Code, or Windsurf.
2. [Available tools](https://linkedapi.io/mcp/available-tools/) – explore all the LinkedIn tools your assistant can call.
3. [Usage examples](https://linkedapi.io/mcp/usage-examples/) – see real-world examples to get you started quickly.

## License
This project is licensed under the MIT – see the [LICENSE](https://github.com/Linked-API/linkedapi-mcp/blob/main/LICENSE) file for details.

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