MCP Basics: What It Is and What It's For
MCP stands for Model Context Protocol. It's a standardized protocol that connects an AI client to your Metricool account, letting the AI read and act on your posts, analytics, and campaigns in natural language instead of code.
What is an MCP?
An MCP is the bridge between an AI client and the data and tools it needs. It defines what data the AI can access and what actions it can take, so the AI understands your context without you repeating it.
Think of it as an instruction manual for the AI that tells it:
What info it has access to
What goals it should focus on
What rules to follow
What tone to use (like casual or professional)
What to do if it doesn't know something
Real-life example
Say you want to connect your AI assistant (like Claude or another compatible client) to your Metricool account. The MCP tells the AI:
"You're helping someone who manages social media with Metricool. You can suggest content ideas based on real data, analyze post performance, and explain how scheduling works. If you don't have enough data, ask the user to connect their account."
That way, your AI understands your context and gives you better answers without starting from scratch.
What is it for?
MCPs make AI more useful, accurate, and personalized. Instead of talking to a generic AI, you're chatting with one that gets your product, your role, and your goals.
Example
Without MCP: "How's my content doing?" — the generic AI replies, "Depends on the content. Can you give me more details?"
With MCP: the AI already knows you're using Metricool, pulls your data, and replies:
"Your Instagram reels had 20% more engagement this week compared to last. Want some ideas to keep it going?"
Key benefits
Smarter, more relevant answers
Fewer errors or confusion
Saves time — no need to repeat your context over and over
What do you need to use Metricool's MCP?
To connect your Metricool account to an AI using MCP, you need:
A Metricool account
A client compatible with MCP
A setup process — see How to connect Metricool's MCP, or the step-by-step guides for ChatGPT and Claude
Metricool MCP works with any Metricool plan, including Free. Your plan limits still apply after you connect.
What's a "client"? A client is an app that lets you chat with an AI model. It's where you type your questions; the MCP defines the context your AI uses to help you.
What can Metricool's MCP do?
Metricool's MCP connects your Metricool account with your favorite AI client. That means you can analyze data, create content, and automate tasks without leaving your workflow or copying and pasting information.
Analytics and reporting
Check key metrics (followers, engagement, reach, and more)
Analyze posts by platform and format (Instagram, TikTok, Facebook, LinkedIn...)
Compare time periods (for example, February 2024 vs February 2025)
Generate reports with insights and tips
Competitive analysis
See your defined competitors in Metricool
Compare growth, engagement, and posting frequency
Get strategy suggestions based on the data
Content management
Schedule posts (even auto-translated to multiple languages)
Edit scheduled content
View your content calendar
Get best times to post
Advanced automation with custom prompts
Extract content by campaign and date range
Spot patterns in high-performing content (formats, CTAs, topics)
Generate interactive reports
Compare formats (like Reels vs TikToks)
Create multilingual content across accounts with a single prompt
Use cases
Compare your performance month over month
Analyze campaign impact
Find out what topics and formats work best
Post the same content across multiple languages and accounts
Discover why certain posts performed better than others
Tools available in the MCP
From your AI client (like Claude), go to the Integrations section to access these tools:
Get available metrics — Gather available metrics for a specific social network.
Get Analytics Data — Metrics from any connected social network, including competitor data.
Get Best Time to post — Best performing days and times for each network, based on your data.
Get Schedule posts — List all your scheduled posts, including already published ones.
Create Scheduled Post — Schedule posts across multiple brands and networks.
Update Scheduled Post — Update the text, date, or network of a scheduled post.
Quick summary
If MCP is new to you, this table sums up the basics before you go deeper.
Concept | What it means |
|---|---|
MCP | A protocol that defines the context an AI needs to help you properly |
Used for… | Making sure AI understands your tools, goals, and workflows |
In Metricool | We use MCP to connect your AI to your Metricool account with real context and data |
MCP at a glance
This side-by-side shows what changes when you use an MCP.
Feature | Without MCP | With MCP |
|---|---|---|
Prompt | Blind input | Prompt + structured context |
Memory | Very limited | Persistent and organized |
Data access | Manual | Direct and contextual |
Personalization | Minimal | Scalable and smart |
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