How to Use the Loomly MCP in OpenAI Agents SDK
Connect your Loomly calendars to OpenAI Agents SDK for automated social media drafting and real-time interaction tracking.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Loomly MCP to OpenAI Agents SDK
Create your Vinkius account to connect Loomly to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate content creation with OpenAI Agents SDK
Use `create_new_post` to push drafts directly into your Loomly calendar. Your agent handles the heavy lifting of scheduling while you maintain oversight. This MCP Server lets your agent build posts based on your specific brand guidelines. It ensures every piece of content hits the calendar without manual input.
Monitor engagement via OpenAI Agents SDK
Call `list_post_interactions` to pull comments and replies directly into your agent's context. You get immediate visibility into audience sentiment. Your agent can summarize these interactions or flag urgent inquiries. It turns passive social data into actionable insights for your team.
Manage your Loomly assets with OpenAI Agents SDK
Retrieve your library files using `list_media_assets` so your agent knows exactly what content is available for upcoming posts. This keeps your agent informed about existing media. It avoids the guesswork of trying to attach missing or incorrect files to your scheduled updates.
Set up Loomly MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Loomly tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Loomly tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Loomly tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Loomly Agent",
instructions="You have access to Loomly tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Loomly. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Loomly MCP in OpenAI Agents SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Loomly MCP today
We host it, we monitor it, we maintain it. You just paste one token.