"Finding people named Altman on LinkedIn" matching MCP servers:

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

Generates deterministic, reviewable drafts of source-available named-exclusion licenses with SPDX identifiers and digests, without modifying files or performing external actions.

Automates LinkedIn recruiting tasks such as login, search with filters, paginated people search, and profile detail retrieval via Playwright.

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.

A local MCP server that lets Claude log in to LinkedIn and publish image posts to your personal profile feed, backed by LinkedIn's REST Images API and Posts API.

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 Claude to manage your LinkedIn account and pages (post, schedule, read feed, comments) by driving a real local Chrome browser under your logged-in session.

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

Enables an AI agent to fully operate a LinkedIn account—posting, messaging, profile edits, and network management—with self-healing selectors, human-like pacing, and approval-based planning to avoid breakage or lockouts.

Enables full control over LinkedIn profiles through browser automation, allowing reading, editing, adding, removing entries, and publishing posts directly from conversations.

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 for programmable LinkedIn automation via Playwright, offering 20 tools for profile management, messaging, feed interaction, and job searching through real browser automation.

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.

Analyzes LinkedIn profiles for specific companies and roles to extract career patterns and insights using AI.

MCP server for LinkedIn automation that enables AI agents to perform LinkedIn actions (search, inbox, feed, jobs, etc.) safely with human-like evasion and two-phase commit preview.

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.

Enables running the entire LinkedIn sales motion inside Claude Code, including content creation, audience warming, outreach, and booking calls.