Metricool MCP

How to Install and Use Metricool MCP

Metricool MCP is a helpful tool that lets AI agents connect with your Metricool account to analyze social media data and manage posts. Here’s a simple guide on how to install and use Metricool MCP with easy-to-follow steps and examples.

Step 1: Prepare Your Environment

Before installing Metricool MCP, you need to have some basic tools set up. This will help everything work smoothly. Make sure you have:

• Python 3.8 or higher installed on your computer.
• A Metricool account with API access (this comes with the Advanced Tier plan).
• Claude Desktop or any other MCP client (like Cursor) for communicating with the server.
• The uv tool, which helps run MCP servers.
• Git, a tool to download the Metricool MCP files.

Once you have these ready, you can move on to the installation.

Step 2: Install Metricool MCP

To install Metricool MCP, you will use the uv command line tool. Open your terminal or command prompt and enter this command:

uvx --upgrade mcp-metricool

This command downloads and installs the latest version of Metricool MCP on your system.

Step 3: Configure Claude Desktop for Metricool MCP

Now that you have Metricool MCP installed, you need to connect it to your Metricool account. To do this, create a configuration file for Claude Desktop, which helps run MCP servers.

• On MacOS, create the file here:

~/Library/Application Support/Claude/claude_desktop_config.json

• On Windows, create the file here:

%APPDATA%/Claude/claude_desktop_config.json

Inside this file, paste the following:

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

Be sure to replace <METRICOOL_USER_TOKEN> and <METRICOOL_USER_ID> with your real Metricool API token and user ID. These details come from your Metricool account.

Step 4: Use Metricool MCP Tools

Once set up, you can start using different tools in Metricool MCP to get social media data or schedule posts. Here are some examples of what you can do.

• To get a list of your brands, use:

get_brands()

• To get Instagram posts within a date range, use:

get_instagram_posts(init_date="2023-01-01", end_date="2023-01-31", blog_id=123)

• To schedule a post, use the:

post_schedule_post()

Each tool usually asks for specific information, such as dates or brand IDs. You can find a full list of available tools in Metricool MCP.

Step 5: Start Interacting with Metricool MCP

Now that everything is ready, launch Claude Desktop and connect to the Metricool MCP server. You can send commands through Claude or other MCP clients to get data or schedule posts. The tool will help analyze your social media metrics easily.

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With these simple steps, you can install and start using Metricool MCP to manage and analyze your social media accounts with ease. Just follow the setup, configure your API details, and explore the available tools to get the most out of your Metricool data.