Linkedin Osint Mcp
What is Linkedin Osint Mcp
linkedin-osint-mcp is an MCP server designed to gather usernames from LinkedIn by utilizing the Serper API to perform Google searches.
Use cases
Use cases include retrieving lists of employees from specific companies, extracting contact information formatted as emails, and conducting comprehensive searches across multiple pages to gather extensive data.
How to use
To use linkedin-osint-mcp, first install the ‘uv’ package. Then, obtain an API key from Serper and add it to the ‘.env’ file. Configure the MCP client with the appropriate command and arguments to run the main.py script.
Key features
Key features include the ability to perform Google searches to extract employee lists from LinkedIn, support for multiple query formats, and the ability to save results in various formats such as CSV.
Where to use
linkedin-osint-mcp can be used in fields such as recruitment, market research, and competitive analysis where gathering employee information from LinkedIn is beneficial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Linkedin Osint Mcp
linkedin-osint-mcp is an MCP server designed to gather usernames from LinkedIn by utilizing the Serper API to perform Google searches.
Use cases
Use cases include retrieving lists of employees from specific companies, extracting contact information formatted as emails, and conducting comprehensive searches across multiple pages to gather extensive data.
How to use
To use linkedin-osint-mcp, first install the ‘uv’ package. Then, obtain an API key from Serper and add it to the ‘.env’ file. Configure the MCP client with the appropriate command and arguments to run the main.py script.
Key features
Key features include the ability to perform Google searches to extract employee lists from LinkedIn, support for multiple query formats, and the ability to save results in various formats such as CSV.
Where to use
linkedin-osint-mcp can be used in fields such as recruitment, market research, and competitive analysis where gathering employee information from LinkedIn is beneficial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
linkedin-osint-mcp
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
.envfile. - 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
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
