"A server for exploring LinkedIn, the professional networking platform" matching MCP servers:

Local-first MCP server for research on AI-assisted browsing of a user-owned professional-network account (e.g., LinkedIn), providing read-focused tools such as profile, company, search, and feed reads.

Query your Juniper Mist network in natural language directly from Claude Desktop, providing read-only access to network inventory, clients, alarms, and more via the Mist API.

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 users to interact with professional digital twin data via Claude Desktop, including searching experience, managing contact and scheduling, and generating introductions and project showcases.

Post to LinkedIn from Claude — create posts, upload images, edit/delete posts, and manage company pages via natural language. Uses the official LinkedIn REST API with OAuth 2.0.

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 posting content, sharing articles, and managing LinkedIn profile through natural language using the official LinkedIn REST API with OAuth 2.0.

Read-only MCP server that exposes Kubernetes platform state (tenants, pods, SLOs, ArgoCD applications, chaos schedules, and catalog services) to AI agents, enabling natural language queries about cluster health and configuration.

Enables LinkedIn profile reads and post operations through a local-first MCP server, with OAuth token management and approval-friendly tools for OpenWorker.

An MCP server that lets AI assistants read LinkedIn data through the user's logged-in browser session, providing tools for profiles, companies, job searches, messaging, and feeds.

Enables fetching detailed LinkedIn profile data by automating a browser session with your LinkedIn cookie to access full profiles.

MCP server for posting to LinkedIn, managing drafts, scheduling, commenting, and reacting, all from the terminal.

Enables AI assistants to publish public text posts to an authenticated LinkedIn profile via the Model Context Protocol.

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 wrapping a mock internal ops platform (FastAPI + SQLite) so Claude Code can read and write employee, project, task, and time data through natural language.

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.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

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 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.