Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"linkedin": {
"args": [
"linkedin-mcp-server"
],
"command": "uvx"
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
A powerful Model Context Protocol (MCP) server that enables AI agents like Claude to interact seamlessly with LinkedIn's professional network. Built with FastMCP for high performance and reliability.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'linkedin-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked linkedin-mcp-server against OSV.dev.
Click any tool to inspect its schema.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in communication / marketing
Asynchronous coordination layer for AI coding agents: identities, inboxes, searchable threads, and advisory file leases over FastMCP + Git + SQLite
DataForSEO API modelcontextprotocol server
An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages.
一键同步文章到多个内容平台,支持今日头条、WordPress、知乎、简书、掘金、CSDN、typecho各大平台,一次发布,多平台同步发布。解放个人生产力
MCP Security Weekly
Get CVE alerts and security updates for Linkedin_mcp_custom_server and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
A powerful Model Context Protocol (MCP) server that enables AI agents like Claude to interact seamlessly with LinkedIn's professional network. Built with FastMCP for high performance and reliability.
This MCP server bridges the gap between AI assistants and LinkedIn, allowing them to:
Perfect for professionals who want to leverage AI to manage their LinkedIn presence efficiently.
The fastest way to get started:
uvx linkedin-mcp-server
Install from PyPI:
pip install linkedin-mcp-server
For development or customization:
git clone https://github.com/SARAMALI15792/LinkedIn_mcp_custom_server.git
cd LinkedIn_mcp_custom_server
pip install -e .
http://localhost:8000Create a .env file in your working directory:
LINKEDIN_CLIENT_ID=your_client_id_here
LINKEDIN_CLIENT_SECRET=your_client_secret_here
LINKEDIN_REDIRECT_URI=http://localhost:8000
Security Note: Never commit the .env file to version control. It's already in .gitignore.
Edit your Claude Desktop configuration file:
Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json
Add the LinkedIn MCP server:
{
"mcpServers": {
"linkedin": {
"command": "uvx",
"args": ["linkedin-mcp-server"]
}
}
}
If installed via pip:
{
"mcpServers": {
"linkedin": {
"command": "linkedin-mcp-server"
}
}
}
For local development:
{
"mcpServers": {
"linkedin": {
"command": "python",
"args": ["-m", "linkedin_mcp_server"],
"env": {
"LINKEDIN_CLIENT_ID": "your_client_id",
"LINKEDIN_CLIENT_SECRET": "your_client_secret",
"LINKEDIN_REDIRECT_URI": "http://localhost
... [View full README on GitHub](https://github.com/SARAMALI15792/Linkedin_mcp_custom_server#readme)