Metricool FAQs

Name: Metricool
Author: metricool

Question 1

What can I do with the Metricool MCP Server?

Accepted Answer

You can use it to build AI-powered solutions for social media analysis, automated post scheduling, competitor analysis, and data-driven campaign optimization.

Question 2

What is the Metricool MCP Server?

Accepted Answer

The Metricool MCP Server allows AI agents to connect to your Metricool account and access social media metrics, campaign data, and schedule posts via the Multi-Agent Collaboration Protocol (MCP).

Question 3

What are the prerequisites for using the Metricool MCP Server?

Accepted Answer

You need Python 3.8 or higher, a Metricool account with API access (Advanced Tier), an MCP Client like Claude Desktop, uv, and git.  See the setup guide for detailed instructions.

Question 4

What type of data can I access via the API?

Accepted Answer

You can access data on posts, reels, stories, and ads campaigns. Currently supports retrieving data from Instagram, Facebook, X (Twitter), Threads, LinkedIn, TikTok, Bluesky, Pinterest, Twitch and Youtube

Question 5

What platforms does the Metricool MCP Server support?

Accepted Answer

It supports fetching data from various social media platforms including Instagram, Facebook, X (Twitter), TikTok, LinkedIn, YouTube, and more, providing a comprehensive view of your social media performance.

Metricool

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Key Features

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Key Features

Use Cases