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

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

AI agent for LinkedIn outreach: finds the right people, writes in your voice, follows up, replies. Six campaign goals: sell a product or service, find a job, hire people, find partners or investors, find a vendor, research interviews. Campaigns stay drafts until you launch them.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

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 access to comprehensive LinkedIn data, including professional profile details, company information, and social engagement metrics. It supports searching for people, retrieving posts and comments, and fetching detailed experience, skills, and recommendations.

Provides access to the LinkedIn Sales Navigator API without requiring browser cookies for authentication. It enables AI assistants to interact with sales data and various utility endpoints including TV Maze and deck of cards.

MCP server that enriches LinkedIn profiles, companies, and enables people search using the Techtenstein LinkedIn Enrichment API.

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.

Enables AI agents to use an existing browser session to read profiles and companies, search jobs and people, and manage messages and connection requests on LinkedIn.

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.

Enables Claude AI to interact with LinkedIn through browser automation, including profile reading, people and job search, company research, post publishing, and profile editing.

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.

MCP server for safe LinkedIn automation: official-API posting, comments, and likes plus guest-endpoint job search and a local application tracker.

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.

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

Enables AI agents to publish text and link posts, comment, react, and delete posts on LinkedIn through the official OAuth API, with every write gated behind human approval via a two-phase prepare/execute flow. Includes exact-match digests, single-use expiring proposals, daily write caps, and private local token storage with zero third-party dependencies.

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

Enables MCP-capable agents to read and update a LinkedIn profile, check and publish posts through the official LinkedIn API. Includes a built-in quality gate that blocks drafts reading as machine-generated before anything reaches the public feed.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

Enables AI assistants to access LinkedIn data through the user's logged-in browser session, supporting profiles, companies, job searches, messaging, and feed/posts.

Enables searching and scraping of LinkedIn profiles, companies, jobs, and posts using natural language through MCP-compatible AI clients.

Enables MCP-compatible clients to read LinkedIn profiles, companies, and jobs, and to send connection requests after explicit confirmation, using interactive browser-based authentication instead of stored credentials.

Enables AI assistants to search LinkedIn Sales Navigator contacts and accounts by driving a real logged-in browser and capturing Sales Navigator's own search API responses.

Enables AI assistants to read LinkedIn profiles, company pages, jobs, messages, and feed through a user's logged-in browser session.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

Fully featured MCP server that provides automation tools for LinkedIn, supporting browser-based scraping and API-based operations for content management, media uploads, and reactions.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

Enables AI assistants to read a member's own LinkedIn data — profile, connections, messages, posts, and other snapshot domains — through LinkedIn's Member Data Portability API. Access is strictly read-only, with search, pagination, and recent-activity changelog support.