How to Use the Zealy MCP in OpenAI Agents SDK
Automate community growth and manage Zealy interactions with your OpenAI Agents SDK agent.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Zealy MCP to OpenAI Agents SDK
Create your Vinkius account to connect Zealy 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.
Manage user progress and rewards.
The `add_xp` tool lets you manually boost a user's XP count. You can also use `remove_xp` if someone cheats or needs to be rolled back. For disciplinary action, `ban_user` immediately removes them from the community. You need more granular control? Use `check_member` to verify membership status before taking any actions. The agent handles these checks automatically.
Build automated Zealy workflows with MCP Server.
Need a new objective for your community? Run `create_quest` to deploy it right away. If you want the community to generate unique content, use `create_secret` to set up a mystery prompt. Alternatively, you can write and execute structured API calls via `create_webhook`. The agent keeps track of all these endpoints for you. You'll never have to manually manage webhooks again; just call `list_webhooks` or `delete_webhook`.
Monitor community health and activity.
To understand who's doing what, use `get_user` to fetch specific user details by their Zealy ID. You can also run `search_users` if you only know a social handle. If you need to see the big picture, `get_leaderboard` pulls data for all-time or sprint rankings. Finally, if someone claims a quest, use `list_reviews` to get those submissions waiting for approval.
Set up Zealy 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 Zealy tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Zealy tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Zealy 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="Zealy Agent",
instructions="You have access to Zealy 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 Zealy. 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 Zealy MCP in OpenAI Agents SDK
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