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by Dishant27 • Analytics & Monitoring
An open-source MCP server that provides typed, secure, and extensible access to LinkedIn data for LLMs and agents.
Search and filter LinkedIn profiles by keywords, company, industry, and location to surface candidate or lead lists.
Retrieve detailed LinkedIn profile information (publicId or urnId) to enrich CRM or ATS records.
Integrate LinkedIn-derived insights (job market intelligence, organizational mapping, or outreach data) into automated workflows while handling OAuth and token refresh securely.
LinkedInMCP is a Model Context Protocol (MCP) server that wraps LinkedIn API interactions—searching people, retrieving profiles, job and messaging capabilities—behind a typed, context-aware interface. It includes OAuth2 authentication, token management, Zod-based validation, and an extensible architecture so LLMs (Claude, OpenAI, etc.) can call LinkedIn tooling as MCP tools. The project emphasizes security, minimal data storage, and compliance features such as GDPR-friendly handling and audit logging. It is published under an MIT license and presented as an independent (unaffiliated) implementation.
Authenticate with LinkedIn OAuth - works with standard LinkedIn Developer Application
Revoke LinkedIn authentication and clear stored tokens
Get my LinkedIn profile information using OpenID Connect - works with standard OAuth scopes
Get basic company information - limited access, may require Marketing Solutions partnership in future
Get detailed company profile information - limited access, may require Marketing Solutions partnership in future
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