"A tool for automatically generating LinkedIn posts" matching MCP servers:

Enables AI agents to discover and fetch LinkedIn posts with engagement metrics (reactions, comments, shares) and author details, returning structured JSON per post.

Enables users to read and analyze their own LinkedIn posts and shares using OAuth login and LinkedIn's Member Data Portability API. Supports post listing, analysis, draft matching, and engagement enrichment.

Provides tools for automating LinkedIn job post search and management. Job opportunities often appear in LinkedIn posts first, before they're posted on traditional job boards. By monitoring LinkedIn posts, you can discover opportunities earlier and get a competitive advantage in your job search.

Enables AI assistants to publish text, link, and image posts to a personal LinkedIn profile, as well as comment, react, and delete posts, through the official LinkedIn API.

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 like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

Enables publishing explicitly approved text posts to LinkedIn and checking connection status via a stateless MCP connector.

Enables signed-in users to create, edit, and delete their own LinkedIn posts, including text, images, video, documents, or article links, and to list locally tracked posts and check the authenticated account.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables analyzing LinkedIn developer profiles for optimization and generating high-engagement LinkedIn posts.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

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.

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.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

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.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

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 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.

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

MCP server for LinkedIn publishing from AI coding assistants. Dry run by default, SKILL.md for safe workflows, 28 unit tests. MIT licensed.

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.

MCP server that posts to LinkedIn through the LinkedIn API. Enables creating text posts on your LinkedIn profile using natural language from any MCP-compatible client.

Lets AI agents publish posts to personal profiles or administered company pages, comment on posts, list recent posts, and retrieve analytics such as impressions, reactions, comments, shares, and clicks.

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 LinkedIn API integration for managing profiles, posts, feed, connections, and sending messages through MCP-compatible clients.

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.

Lets MCP clients sign a member in through LinkedIn's three-legged OAuth flow, read that member's OpenID profile, and publish text posts on their behalf, with stored sessions kept in a local mode-0600 file. It uses only public member APIs, so messaging, invitations, media uploads, and other people's data stay out of scope.

Enables secure LinkedIn OAuth connection and publishing of text and single-image posts with explicit human approval before anything goes live.

Enables managing LinkedIn posts (create, delete) and making arbitrary LinkedIn API calls through natural language.