Metricool MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Metricool through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Metricool and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"metricool": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Metricool MCP Server
Connect your Metricool account to any AI agent and take full control of your social media performance and planning through natural conversation.
Windsurf's Cascade agent chains multiple Metricool tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Social Analytics — Retrieve detailed metrics for Instagram, Facebook, Twitter, and LinkedIn profiles in real-time
- Unified Summary — Access high-level cross-channel performance reports to understand your total digital reach
- Content Planning — List and inspect your social media planner to stay ahead of upcoming scheduled posts
- Ads Performance — Monitor spend and conversion data for social advertising platforms directly from your agent
- Profile Management — Enumerate all connected brands and social accounts linked to your workspace
The Metricool MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Metricool to Windsurf via MCP
Follow these steps to integrate the Metricool MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Metricool
Open Cascade and ask: "Using Metricool, help me...". 10 tools available
Why Use Windsurf with the Metricool MCP Server
Windsurf provides unique advantages when paired with Metricool through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Metricool + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Metricool MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Metricool and generate models, types, or handlers based on real API responses
Live debugging: query Metricool tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Metricool and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Metricool data with Cascade's code generation to scaffold entire features in minutes
Metricool MCP Tools for Windsurf (10)
These 10 tools become available when you connect Metricool to Windsurf via MCP:
get_ads_performance
Get performance for ads
get_facebook_analytics
Get Facebook analytics
get_instagram_analytics
Get Instagram analytics
get_linkedin_analytics
Get LinkedIn analytics
get_profile_details
Get details for a specific profile
get_social_planner
Get scheduled posts planner
get_twitter_analytics
Get Twitter analytics
get_unified_summary
Get unified cross-channel summary
list_metricool_profiles
List all connected social profiles
list_published_posts
List recently published posts
Example Prompts for Metricool in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Metricool immediately.
"Show my Instagram analytics for the last 30 days."
"What posts are scheduled in my planner?"
"Show a summary of my performance across all channels."
Troubleshooting Metricool MCP Server with Windsurf
Common issues when connecting Metricool to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Metricool + Windsurf FAQ
Common questions about integrating Metricool MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Metricool with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Metricool to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.