# ContentIn — LinkedIn Ghostwriter [Health: Active]

**Category:** 🌐 Social Media  
**Repository:** https://contentin.io/linkedin-mcp-server/  
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**Directory Page:** https://allmcps.com/mcp/contentin-linkedin-ghostwriter

## Description
Write LinkedIn posts in your voice: ideas, drafts, scheduling, analytics from your personal AI.

## Claude Desktop Quick Installation
No confirmed install details yet, so no config is published. Follow the setup steps in the repository above.

## Documentation

## What ContentIn — LinkedIn Ghostwriter MCP server does

ContentIn — LinkedIn Ghostwriter is described as a personal-AI service for creating and managing LinkedIn posts. Its documented scope covers four related activities: generating ideas, preparing drafts, scheduling posts, and reviewing analytics. The writing workflow is intended to preserve the user's voice, so it is suited to developers or teams building an assistant around an individual's LinkedIn content process.

The available description does not identify whether the server connects to a personal LinkedIn account directly, uses an intermediate ContentIn account, or requires a separate publishing service. It also does not specify whether analytics cover individual posts, account-level trends, or another reporting view. Treat those details as implementation questions to verify before adoption.

## Tools and capabilities

The documented capabilities are:

- Generate ideas for LinkedIn posts.
- Create drafts in the user's voice.
- Schedule LinkedIn posts.
- Review analytics related to LinkedIn content.

These capabilities describe the supported workflow, but the supplied material does not provide exact MCP tool names, input fields, return values, permissions, or scheduling constraints. Developers should not assume that every capability is exposed as a separate tool or that all operations are available in every client.

## How it works

The ContentIn — LinkedIn Ghostwriter MCP server is presented as an MCP-based interface for a personal AI working with LinkedIn content. An AI assistant can use the documented workflow to move from ideas to drafts, then to scheduling and post analysis. The description specifically identifies writing in the user's voice, which indicates that voice-aware drafting is a central use case.

No protocol transport, authentication flow, account-linking process, or data-retention behavior is included in the available source material. Those details determine how the server should be deployed and what access it needs, but they cannot be established from the listing alone.

## Setup and configuration

The provided material does not include installation steps, required environment variables, configuration keys, authentication instructions, or example client settings. Before deployment, confirm how the server is installed, how LinkedIn access is authorized, and whether scheduling and analytics require additional ContentIn configuration.

Client compatibility is also not documented. The listing does not name Claude Desktop, Cursor, or any other MCP client, so client support should be verified independently.

## Limitations and notes

The available description is high-level and does not document API limits, supported post formats, analytics fields, scheduling time zones, draft storage, error handling, or publishing permissions. It also does not state whether the server can edit existing LinkedIn posts or only create and schedule new ones. Use the documented capabilities as a feature outline rather than a complete technical contract.

ContentIn — LinkedIn Ghostwriter may fit a personal LinkedIn publishing workflow, but developers should obtain the missing setup and integration details before relying on it in production.

_Full upstream README: https://allmcps.com/mcp/contentin-linkedin-ghostwriter/readme_