The LinkedIn MCP server provides AI agents with access to LinkedIn's API, allowing them to fetch user profiles, posts, and connections. It connects directly to LinkedIn's REST API and exposes endpoints for retrieving profile data, managing posts, and handling connection requests. Developers use it to build AI assistants that can interact with LinkedIn data, automate profile updates, and manage professional networking tasks.
The LinkedIn MCP server provides AI agents with access to LinkedIn's API, allowing them to fetch user profiles, posts, and connections. It connects directly to LinkedIn's REST API and exposes endpoints for retrieving profile data, managing posts, and handling connection requests. Developers use it to build AI assistants that can interact with LinkedIn data, automate profile updates, and manage professional networking tasks.
npx -y linkedin-mcp-serverAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"felipfr-linkedin-mcpserver-github": {
"command": "npx",
"args": [
"-y",
"npx -y linkedin-mcp-server"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from linkedin mcpserver?"
API Key Required
This server requires an API key from linkedin mcpserver. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| LINKEDIN_MCPSERVER_API_KEY | Yes | Your linkedin mcpserver API key |
"What resources are available in linkedin mcpserver?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in linkedin mcpserver"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in linkedin mcpserver with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.