PlanVortex MCP server

planvortex-mcp

The official Model Context Protocol server for PlanVortex. It lets an AI assistant — Claude Desktop, Claude Code, Cursor, VS Code — schedule posts, read the comment inbox and answer private messages across thirteen social networks: Facebook, Instagram, Threads, LinkedIn, TikTok, X, WhatsApp, YouTube, Google Business, Bluesky, Discord, Telegram and Slack.

You need a PlanVortex app, and every plan has them — the free one included.

The server authenticates with a clientid and a clientsecret that you create in the

PlanVortex panel under Settings → Apps. How many apps you get is what changes with the plan:

1 on Free, 2 on Basic, 5 on Pro, 10 on Custom.

Install

Nothing to install: your MCP client starts it with npx.

Claude Desktop, Cursor, VS Code

{
    "mcpServers": {
        "planvortex": {
            "command": "npx",
            "args": ["-y", "planvortex-mcp"],
            "env": {
                "PLANVORTEX_CLIENT_ID": "...",
                "PLANVORTEX_CLIENT_SECRET": "...",
                "PLANVORTEX_ORGANIZATION_ID": "optional, but saves a call per conversation"
            }
        }
    }
}

Claude Code

claude mcp add planvortex \
  --env PLANVORTEX_CLIENT_ID=... \
  --env PLANVORTEX_CLIENT_SECRET=... \
  -- npx -y planvortex-mcp

Then ask for something: "what do I have scheduled this week, and which comments are still unread?"

What it can do

Twenty-nine tools, grouped by what they act on — and a thirtieth, createaiplan, that you switch on yourself (see Generating with AI).

Plus three prompts — weeklyplan, inboxtriage, publishfrombrief — and four resources with the per-network limits, capabilities, comment matrix and your organizations.

Generating with AI

PlanVortex does not just schedule what you wrote: it can write the week for you. Its planner turns a theme, your own photos, an article or a connected shop's catalogue into a week of posts, and getplannertemplates publishes the five templates with what each one costs.

Reading is always available. Creating a plan is not, unless you switch it on:

"env": { "PLANVORTEX_MCP_ALLOW_AI": "1" }

Shortened. The full README is on GitHub.