mcpField
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LinkedIn Ghostwriter

LinkedIn Ghostwriter

VerifiedFeaturedRemote
contentin.ioProductivity0

About LinkedIn Ghostwriter

Write LinkedIn posts in your own voice from Claude, ChatGPT, or any MCP client. ContentIn trains a personal AI on your own LinkedIn posts, then generates ideas, drafts in your voice, schedules, publishes via LinkedIn.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.contentin.io/mcp-server
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.contentin.io/mcp-serverAuth required

Tools

8
ParameterTypeRequiredDescription
statusarrayNoFilter by post status. Omit for all statuses. 'draft' = written but not queued, 'scheduled' = queued for automatic publishing, 'posted' = already live on LinkedIn.
fromstringNoISO-8601 date. Only posts created on or after this.
tostringNoISO-8601 date. Only posts created on or before this.
searchstringNoFree-text match against the post body and title.
limitintegerNoHow many posts to return (1-50, default 20).

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.