Metricool MCP Server connects an AI assistant to the Metricool API, letting it retrieve social media metrics and content, pull campaign data, and schedule posts across multiple social platforms from one place instead of switching between each network's own dashboard.

Use it when you want an AI assistant to pull post history and performance data from your connected social accounts, retrieve ad campaign data from Facebook Ads, Google Ads, or TikTok Ads, schedule posts and multiposts, analyze competitor content, or check optimal posting times for a network. It requires a Metricool account with API access, specifically the Advanced plan, plus your METRICOOL_USER_TOKEN and METRICOOL_USER_ID, so it is not usable on Metricool's free tier without API access. It is scoped to accounts you already manage in Metricool, not a general social-listening tool for arbitrary public accounts.

Brand tools, get_brands and get_brands_complete, list the brands in your Metricool account: get_brands is a simplified lookup meant for auxiliary use inside other tool calls, while get_brands_complete returns all available information for each brand. Platform content tools retrieve posts, reels, or stories per network: get_instagram_reels, get_instagram_posts, and get_instagram_stories for Instagram; get_tiktok_videos for TikTok; get_facebook_reels, get_facebook_posts, and get_facebook_stories for Facebook; get_thread_posts for Threads; get_x_posts for X (Twitter); get_bluesky_posts for Bluesky; get_linkedin_posts for LinkedIn; get_pinterest_pins for Pinterest; and get_youtube_videos for YouTube. Beyond content retrieval, the server also covers ad campaign data from Facebook Ads, Google Ads, and TikTok Ads, post and multipost scheduling, competitor post analysis, optimal-posting-time recommendations, and management of scheduled posts and content calendars, with coverage extending to Twitch as well.

Install and run via uvx:

uvx --upgrade mcp-metricool

Configure Claude Desktop with your Metricool credentials:

{
    "mcpServers": {
        "mcp-metricool": {
            "command": "uvx",
            "args": ["--upgrade", "mcp-metricool"],
            "env": {
                "METRICOOL_USER_TOKEN": "<METRICOOL_USER_TOKEN>",
                "METRICOOL_USER_ID": "<METRICOOL_USER_ID>"
            }
        }
    }
}

Requires Python 3.8+ along with uv and git. The Claude Desktop configuration file lives in a different place depending on your OS: ~/Library/Application Support/Claude/claude_desktop_config.json on macOS, or %APPDATA%/Claude/claude_desktop_config.json on Windows.

Social media managers and marketers who want an AI assistant to pull cross-platform metrics, review campaign performance, and schedule posts from Metricool, instead of checking each social network's dashboard separately. Published directly by Metricool, the server requires both METRICOOL_USER_TOKEN and METRICOOL_USER_ID to be set as environment variables before any tool call will authenticate successfully.