"How to find people on LinkedIn by name" matching MCP servers:

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

A discovery tool for AI agents to search, evaluate, and install MCP servers from multiple registries.

MCP server for querying a database of 1 million Korean personas with full-text search, enabling AI agents to retrieve detailed demographic, professional, and personal profiles.

Enables Claude Code users to safely edit their own LinkedIn profile by drafting proposed changes as diffs and requiring explicit human approval before the single write tool applies them.

Enables AI assistants to search LinkedIn jobs and read LinkedIn profiles read-only using a real Chrome session via CDP, with tools for job listings, full job details, profile data, and session management.

Enables viewing your own LinkedIn account data—such as profile views, applications, saved jobs, job listings, and notifications—as structured tool results, with optional gated write actions for saving or unsaving jobs and unfollowing companies.

A standalone MCP server that exposes typed LinkedIn capabilities (jobs, people, companies, posts, invitations, messaging) through the visible LinkedIn web UI, enabling workflow automation.

Enables searching and scraping of LinkedIn for structured data on people, companies, and job listings. It allows AI clients to retrieve detailed profiles, experience, and activity sections using browser automation.

Enables publishing and scheduling LinkedIn posts through the official API, with content calendar and post brief tools for consistent growth.

Enables AI assistants to connect to LinkedIn, accessing profiles and companies, searching for jobs and people, managing saved jobs, updating job-search profile settings, and inspecting analytics.

MCP server that lets you analyze your own LinkedIn profile with a local LLM (LM Studio). It uses Playwright to reuse your browser session, fetch profile data as JSON, and provides tools for session management and profile analysis.

An MCP server that enables users to interact with LinkedIn feeds and search for job listings through natural language. It provides tools for retrieving recent feed posts and searching for professional opportunities based on specific keywords and locations.

Enables publishing to LinkedIn from a Second Brain using four tools and the official API, with a handbrake that requires confirmation before posting and supports deleting posts.

A powerful LinkedIn Profile Analyzer that seamlessly integrates with Claude AI to fetch and analyze public LinkedIn profiles, enabling users to extract, search, and analyze posts data through RapidAPI's LinkedIn Data API.

Enables interaction with LinkedIn tools and services through the Universal MCP framework, allowing operations like posting and profile management via natural language.

MCP server for LinkedIn that lets Claude and ChatGPT read your profile, post updates, and generate a resume PDF pre-formatted for LinkedIn's Import Resume feature.

Automates LinkedIn job search and Easy Apply using Playwright and Claude Code, with tools for login, job search, form filling, and batch applications.

Enables AI agents to publish posts, images, videos, and articles to LinkedIn.

Enables AI assistants to interact with LinkedIn for search, messaging, connections, and Sales Navigator features via the Unipile API.