Metricool MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Metricool through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"metricool": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Metricool Agent",
instructions:
"You help users interact with Metricool " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Metricool?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Metricool tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Metricool MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Metricool via MCP
Why Use Mastra AI with the Metricool MCP Server
Mastra AI provides unique advantages when paired with Metricool through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Metricool without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Metricool tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Metricool + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Metricool MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Metricool, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Metricool as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Metricool on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Metricool tools alongside other MCP servers
Metricool MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Metricool to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Metricool to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpMetricool + Mastra AI FAQ
Common questions about integrating Metricool MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Metricool with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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.
Type-safe agent development for Python with first-class MCP support.
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.