Metricool MCP. Get combined social media metrics for every channel.
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Metricool MCP Server gives your AI agent full control over social media analytics and scheduling. Connect it to track performance, manage content planning, and pull detailed metrics for Instagram, Facebook, Twitter, LinkedIn, and ad spend all in one conversation.
What your AI agents can do
Get ads performance
Retrieves spending and conversion metrics for social advertising campaigns.
Get facebook analytics
Gets detailed performance data specifically from Facebook.
Get instagram analytics
Pulls real-time metrics and statistics for an Instagram profile.
Run get_unified_summary to get one report covering reach and engagement rates from every platform you track.
Call tools like get_instagram_analytics or get_facebook_analytics to pull detailed, real-time data for a single network.
Use get_ads_performance to check spending and conversion metrics across your social ad campaigns.
Call get_social_planner to list every post already set up for future publication, helping you plan ahead.
Run list_metricool_profiles to enumerate all brands and social accounts linked under your workspace.
Ask AI about this MCP
Supported MCP Clients
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Metricool MCP Server: 10 Tools for Social Media Analytics
These tools allow your agent to pull detailed metrics, manage schedules, and summarize performance across all connected social accounts.
019d75d4get ads performance
Retrieves spending and conversion metrics for social advertising campaigns.
019d75d4get facebook analytics
Gets detailed performance data specifically from Facebook.
019d75d4get instagram analytics
Pulls real-time metrics and statistics for an Instagram profile.
019d75d4get linkedin analytics
Retrieves professional network performance data from LinkedIn.
019d75d4get profile details
Fetches general details for a specified social media profile.
019d75d4get social planner
Lists all content currently scheduled in the platform's post planner.
019d75d4get twitter analytics
Gathers performance and engagement metrics specifically from Twitter (X).
019d75d4get unified summary
Provides a single summary report of combined cross-channel performance data.
019d75d4list metricool profiles
Lists every brand and social account connected to the Metricool workspace.
019d75d4list published posts
Retrieves a list of content that was recently published across all linked channels.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Metricool, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Your AI client gets full control over social media analytics and scheduling using this server. You don't gotta jump between a dozen different platform dashboards just to figure out what's happening. It lets your agent pull every metric and review every post across Instagram, Facebook, LinkedIn, Twitter (X), and more.
To get a bird’s-eye view of everything, run get_unified_summary. This tool pulls one single report that covers reach and engagement rates from every channel you're tracking. It gives you an immediate picture of your total digital footprint without having to look anywhere else.
If you need to deep-dive into a specific platform, you've got several options. For Instagram, call get_instagram_analytics to pull real-time metrics and stats for that profile. Facebook performance data is handled by get_facebook_analytics, which delivers detailed reports specifically tailored to the platform. When it comes to professional networking, use get_linkedin_analytics; this retrieves specialized performance numbers from LinkedIn.
For X (Twitter), run get_twitter_analytics to gather specific engagement metrics and overall performance data.
You also gotta manage your ad spend. Use get_ads_performance when you need to check conversion rates, spending totals, and other critical metrics across all your social advertising campaigns. If you just want general background info on a brand’s account, get_profile_details will fetch those basic details for any specified profile.
When it comes to content planning and history, the server keeps track of everything. To see what's scheduled up next, call get_social_planner. This lists every single post you've already set up in the platform’s internal planner. For a review of recent activity, use list_published_posts to retrieve a clean list of content that was recently pushed out across all your linked accounts.
To audit the scope of your workspace, run list_metricool_profiles; this enumerates every brand and social account connected under your main Metricool workspace.
Your agent can also check on general performance data for any given profile via get_profile_details. You don't have to worry about manually compiling reports; the server makes sure that whether you want a cross-channel summary, specific platform metrics, ad spend analysis, or just a list of everything posted last week, your AI client pulls it all up in one go.
How Metricool MCP Works
- 1 Subscribe to this server and provide your Metricool Access Token.
- 2 Your AI client routes data requests through the MCP Server's established tools.
- 3 The agent executes specific functions (like
get_facebook_analytics) and returns structured, usable metrics directly in conversation.
The bottom line is you talk to your agent, not the platform dashboard. It handles all the data gathering.
Who Is Metricool MCP For?
The Digital Marketing Manager who spends hours jumping between Facebook Insights and Instagram Analytics. Or maybe the Content Strategist who needs to check a month's worth of ad spend against planned content calendars. If you manage more than two social channels, this is for you.
Uses the agent to cross-reference get_social_planner with real-time metrics from get_instagram_analytics before approving a campaign rollout.
Calls get_unified_summary and get_ads_performance to build comprehensive reports on ROI, avoiding manual data exports and spreadsheet merging.
Uses list_metricool_profiles first to see which brands are connected, then uses the planner tools to ensure content remains consistent across all platforms.
What Changes When You Connect
- See your total reach immediately. Instead of looking at five separate dashboards, use
get_unified_summaryto pull one number that represents all your channels' performance. - Keep track of content without logging in. Running
get_social_plannerlists every post you've scheduled for the next month, so nothing slips through the cracks. - Compare ad spend against organic reach effortlessly. You can combine data from
get_ads_performancewith specific platform stats like those fromget_instagram_analyticsto calculate true ROI. - Avoid confusion about linked accounts. Start by running
list_metricool_profilesto quickly audit every single brand connected to your workspace before building reports. - Streamline reporting for multiple platforms. With dedicated tools for Facebook, Instagram, and LinkedIn, you pull the exact data points needed without writing custom scripts.
Real-World Use Cases
Need a Quarterly Performance Review
The Digital Marketing Analyst needs to present total reach. They ask their agent for get_unified_summary. The agent queries all channels, returning one master report showing overall growth and average engagement rate in seconds.
Checking Content Consistency Before Launch
The Content Strategist needs to make sure the next week's posts are scheduled correctly. They run get_social_planner and confirm that three posts landed on Facebook and two on Instagram, ensuring all planned content is accounted for.
Troubleshooting Poor Ad Performance
The Social Media Manager notices engagement dropping. They use get_ads_performance to review ad spend vs. the organic metrics from get_instagram_analytics. This comparison quickly identifies if they need better creative or just more budget.
Auditing Connected Brands
The Ops Engineer joins a new client and needs to know exactly which social handles are active. They run list_metricool_profiles first, getting an immediate list of every connected account before writing any reports.
The Tradeoffs
Manual data aggregation
The analyst spends 3 hours downloading separate CSVs from Facebook Insights, Twitter Analytics, and LinkedIn to build a single 'Total Reach' spreadsheet.
→
Don't download anything. Ask your agent to run get_unified_summary. It pulls the combined data points you need into one report instantly.
Forgetting scheduled content
The team drafts a campaign but forgets to check if posts were actually added to the calendar, assuming they are live.
→
Always run get_social_planner first. It shows you exactly what's queued up and when it’s set to publish.
Mixing ad data with organic reports
The marketing team tries to compare paid ad spend metrics from one source against raw follower count metrics from a separate dashboard.
→
Use get_ads_performance for the budget side, and then use platform-specific tools like get_instagram_analytics for pure organic performance data.
When It Fits, When It Doesn't
You need this server if your job requires comparing metrics across multiple distinct social platforms (Instagram, Facebook, X, LinkedIn). If you only manage a single channel—say, just running a Twitter account and checking its daily stats—this is overkill; the native platform tools are fine. However, if you ever have to answer the question, 'How did our overall digital presence perform last quarter?' then this server is essential. It makes sure that whether you need ad spend data (get_ads_performance) or simple scheduled post lists (get_social_planner), all those specialized endpoints feed into a single, actionable workflow via get_unified_summary. Don't use it if you only want to check one thing; use it when you need the whole picture.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Metricool. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Cross-platform reporting shouldn't require logging into five different dashboards.
Today, generating a high-level performance report is a nightmare. You jump from Facebook Insights to Instagram Analytics, copy key numbers for reach and engagement, then switch to LinkedIn just to get professional sentiment data. It’s slow, it’s tedious, and you always worry about missing one crucial metric or miscalculating the total.
With this MCP server, that whole process vanishes. You ask your agent for a summary report, and it runs `get_unified_summary`. You get the combined metrics instantly—total reach, average engagement rate, and cross-channel performance—all in one structured output.
Metricool MCP Server: Get all social data using your AI client.
You no longer need to manually check if a post is scheduled or what the latest ad spend was. Your agent can run `get_social_planner` to review upcoming content, and then use `get_ads_performance` to verify the budget for those posts—all in one chat session.
It's simple: you tell your AI client what you need (e.g., 'Show me performance across all brands'), and it handles calling the right tools (`list_metricool_profiles`, `get_facebook_analytics`, etc.) to deliver a single, comprehensive answer.
Common Questions About Metricool MCP
How do I get my overall cross-channel summary using Metricool MCP Server? +
You ask your agent to run the get_unified_summary tool. It collects and returns a single report showing aggregate metrics across all connected platforms, saving you manual calculation time.
Can I check my ad performance with Metricool MCP Server? +
Yes, use the get_ads_performance tool. This function specifically pulls data regarding your advertising spend and conversion metrics for social ads.
What is the difference between getting analytics vs. listing posts on Metricool MCP Server? +
Analytics tools (like get_instagram_analytics) give you performance numbers—stats, reach, followers. The planner tool (get_social_planner), however, just lists the content that's scheduled to go live.
Does Metricool MCP Server support all social media platforms? +
It supports major platforms including Instagram, Facebook, Twitter (X), and LinkedIn. You can call specific tools like get_facebook_analytics or get_linkedin_analytics for tailored reports.
How do I authenticate and connect the Metricool MCP Server? +
You must provide your Metricool Access Token for connection. After subscribing, paste this token into the server's configuration field to establish a secure link with your data.
What does the `list_metricool_profiles` tool do in Metricool MCP Server? +
This tool enumerates all connected brands and social accounts linked to your workspace. Running it confirms exactly which profiles are available for analysis across other tools.
What kind of data can I get using the `get_social_planner` tool with Metricool MCP Server? +
The tool lists and inspects content scheduled in your social media planner. You can review upcoming posts, platform assignments, and planned dates before they publish.
How does the `list_published_posts` function work with Metricool MCP Server? +
It retrieves records of posts that have already gone live on your channels. Use this tool to audit recent content and verify what was successfully published across all connected platforms.
How do I find my Metricool Access Token? +
Log in to Metricool, go to Account Settings > API, and you can generate or copy your Access Token there.
Can I see metrics for multiple platforms? +
Yes, Metricool supports Instagram, Facebook, Twitter, LinkedIn, and more. Use the specific tool for each platform.
Is my social media data secure? +
Absolutely. Your token is encrypted at rest and injected securely at runtime.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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