Metricool MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Metricool through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Metricool Assistant",
instructions=(
"You help users interact with Metricool. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Metricool"
)
print(result.final_output)
asyncio.run(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.
The OpenAI Agents SDK auto-discovers all 10 tools from Metricool through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Metricool, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Metricool MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Metricool
Why Use OpenAI Agents SDK with the Metricool MCP Server
OpenAI Agents SDK provides unique advantages when paired with Metricool through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Metricool + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Metricool MCP Server delivers measurable value.
Automated workflows: build agents that query Metricool, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Metricool, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Metricool tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Metricool to resolve tickets, look up records, and update statuses without human intervention
Metricool MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Metricool to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Metricool to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Metricool + OpenAI Agents SDK FAQ
Common questions about integrating Metricool MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.