Metricool▌
by metricool
Integrate with Metricool to track analytics and use the Instagram or Facebook post scheduler for easy multi-network cont
Integrates with Metricool's social media analytics platform to retrieve performance metrics and schedule content across multiple networks including Instagram, Facebook, Twitter, LinkedIn, TikTok, and YouTube.
best for
- / Social media managers tracking performance
- / Marketing teams analyzing campaign results
- / Content creators optimizing post scheduling
- / Agencies managing multiple brand accounts
capabilities
- / Fetch social media performance metrics
- / Schedule posts across multiple platforms
- / Analyze Instagram Reels data
- / Get Instagram post analytics
- / Retrieve brand information from Metricool account
- / Access campaign data and insights
what it does
Retrieves social media analytics and schedules posts across Instagram, Facebook, Twitter, LinkedIn, TikTok, and YouTube through the Metricool platform.
about
Metricool is an official MCP server published by metricool that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Metricool to track analytics and use the Instagram or Facebook post scheduler for easy multi-network cont It is categorized under developer tools, analytics data.
how to install
You can install Metricool in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
Metricool is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Integrate with Metricool to track analytics and use the Instagram or Facebook post scheduler for easy multi-network cont
TL;DR: Retrieves social media analytics and schedules posts across Instagram, Facebook, Twitter, LinkedIn, TikTok, and YouTube through the Metricool platform.
What it does
- Fetch social media performance metrics
- Schedule posts across multiple platforms
- Analyze Instagram Reels data
- Get Instagram post analytics
- Retrieve brand information from Metricool account
- Access campaign data and insights
Best for
- Social media managers tracking performance
- Marketing teams analyzing campaign results
- Content creators optimizing post scheduling
- Agencies managing multiple brand accounts
Highlights
- Supports 6 major social platforms
- Requires Metricool Advanced Tier account
FAQ
- What is the Metricool MCP server?
- Metricool is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Metricool?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Metricool is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Metricool against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Metricool is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Metricool reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Metricool for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Metricool surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Metricool has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Metricool benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Metricool into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Metricool is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.