"How to find people on LinkedIn using their profiles" matching MCP servers:

An MCP server that reads and edits OrcaSlicer profiles, expanding the full inheritance chain and tracking the provenance of every value.

Local-first memory for AI agents about the people in your life. MCP server + CLI on SQLite. Never phones home.

An MCP server that gives AI agents a private, durable memory of people, providing a personal people graph in PostgreSQL with tools to search, remember, and connect people, plus imports from LinkedIn, Google Contacts, and WhatsApp, and a browser UI.

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 LM Studio Bionic to perform multimodal image search and tagging by bridging to a local Find Images MCP server, including preview download and scratchpad registration for further editing or processing.

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 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 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.

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

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.

Controls the user's LinkedIn account through a logged-in browser session, enabling post publishing, profile viewing and editing, job searching, and Easy Apply submissions from chat.

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.

Enables AI assistants to browse profiles and companies, manage messages and inboxes, and search jobs, posts, and people through a locally logged-in browser session. All actions run on the user's own machine.

Enables AI assistants to interact with LinkedIn by scraping profiles, companies, job postings, and getting personalized job recommendations using authenticated browser automation.

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

Enables compatible LLM clients to handle authorized professional-network workflows via OAuth, retrieve basic profiles, draft profile changes and posts, and publish posts only after explicit approval.

Enables AI agents to authenticate with LinkedIn via OAuth, look up profiles and organizations, create and manage posts, comments, reactions, and media uploads, and handle ad campaign management, all with dry-run previews for write operations.

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

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.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

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

LinkedIn prospection automation — find leads, score (fit+intent+urgency), qualify, personalize messages, run full pipeline, manage sales funnel. 7 MCP tools.

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.

LinkedIn MCP Assistant

Enables MCP clients to publish, edit, delete, comment on, and reshare posts; upload images, videos, and documents; and access optional reaction, engagement, and company-Page tools when authorized.