linkedin-osint-mcp

by djackreuter

2 290 downloads Not rated yet Apache-2.0

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About

MCP server to gather usernames from LinkedIn using Serper

Details

License: Apache-2.0

Explore

- Uses Serper API for Google search
- Gathers employee listings from LinkedIn
- Supports multi-page searches for comprehensive results
- Can format names into email addresses (e.g., [email protected])
- Exports results to CSV files

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name linkedin-osint-mcp

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

From the repository

Install uv 
Get an API key from Serper and add it to .env file.

Configure MCP client:

E.g., Claude Desktop

{

    "mcpServers": {

        "linkedin_osint": {

            "command": "uv",

            "args": [

                "--directory",

                "C:\\path\\\\to\\linkedin-osint-mcp",

                "run",

                "main.py"

            ]

        }

    }

}

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "linkedin-osint-mcp": {
            "linkedin_osint": {
                "command": "uv",
                "args": [
                    "--directory",
                    "C:\\path\\\\to\\linkedin-osint-mcp",
                    "run",
                    "main.py"
                ]
            }
        }
    }
}

McpServers

{
    "linkedin_osint": {
        "command": "uv",
        "args": [
            "--directory",
            "C:\\path\\\\to\\linkedin-osint-mcp",
            "run",
            "main.py"
        ]
    }
}

Uses Serper to perform a Google search to gather a list of employees from LinkedIn.

Usage

Install uv  Get an API key from Serper and add it to .env file.

Configure MCP client:

E.g., Claude Desktop

{
    "mcpServers": {
        "linkedin_osint": {
            "command": "uv",
            "args": [
                "--directory",
                "C:\\path\\\\to\\linkedin-osint-mcp",
                "run",
                "main.py"
            ]
        }
    }
}

Example Queries

"Get a list of users that work at Bullworth Academy." // basic "Get a list of users that work at Bullworth Academy and find as many as you can." // will search through multiple pages "Find all users that work at Bullworth Academy and format the results as "[email protected]" and save to a csv file." // format names into emails

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Details

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Setting up with Highlight

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