Metricool MCP Server

Metricool MCP Server Overview

The Metricool MCP server bridges the gap between AI assistants and the Metricool social‑media analytics platform. By exposing a rich set of tools that mirror Metricool’s API endpoints, the server lets Claude or any MCP‑compatible client retrieve, analyze, and manipulate campaign data without writing custom code. This capability is especially valuable for marketers, analysts, and developers who want to embed real‑time social metrics into conversational workflows or automated decision systems.

At its core, the server provides a unified interface for dozens of content and advertising metrics across major platforms—Instagram, TikTok, Facebook, X (Twitter), LinkedIn, Pinterest, YouTube, Twitch, and more. Each tool accepts a date range and a brand or blog identifier, returning structured lists of posts, stories, reels, videos, or ad campaigns. For example, fetches all Instagram posts within a specified window, while pulls Facebook advertising data. This granularity enables agents to query exactly the subset of data they need, keeping responses lightweight and focused.

The server’s design supports a typical AI workflow in several ways. First, the and tools let an assistant enumerate all brands linked to a Metricool account, enabling dynamic selection of target accounts. Second, the date‑range parameters allow agents to perform trend analyses or compare performance across periods without manual filtering. Third, by exposing both content‑level and campaign‑level data, the server lets a single agent generate comprehensive reports—combining engagement metrics with ad spend—to answer questions like “Which posts drove the most conversions last month?” or “How does our TikTok reach compare to Facebook?”

Real‑world scenarios include automated reporting dashboards, conversational marketing assistants that recommend posting times, or compliance bots that audit content across multiple platforms. For developers, the MCP server means they can integrate Metricool data into existing Claude prompts or workflow scripts with a single tool call, rather than managing OAuth tokens and paginated API requests manually. The server’s environment‑variable configuration keeps credentials secure while still being straightforward to set up in a local development or production environment.

Unique advantages of the Metricool MCP server stem from its comprehensive coverage and seamless integration with AI assistants. Unlike generic social‑media APIs, Metricool aggregates data from all supported platforms into a single account, simplifying cross‑channel analysis. The MCP interface translates this complexity into clear, declarative tool calls that fit naturally into conversational prompts, empowering agents to provide actionable insights in real time.