How to Use the Contentstack MCP in OpenAI Agents SDK
Feed Contentstack headless CMS data directly into your OpenAI Agents SDK pipelines with this zero-config MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Contentstack MCP to OpenAI Agents SDK
Create your Vinkius account to connect Contentstack 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.
Rebuild Contentstack schemas in OpenAI Agents SDK
Your OpenAI Agents SDK agent uses `get_content_type_details` to inspect Contentstack schemas before writing any content. It checks the fields, validation rules, and relationships so it doesn't try to send junk data to your CMS. Once it knows the layout, the agent queries the stack metadata using `get_stack_summary` through the MCP interface to orient itself. This setup ensures your production agents write valid content that actually fits your headless structure on the first try.
Query entries via native OpenAI agent handoffs
You can build a specialized router agent that uses `search_entries` to find specific Contentstack entries using the MCP protocol. The OpenAI Agents SDK manages the handoff to a delivery agent that grabs the full body using `get_entry`. This multi-agent setup keeps your code clean because the discovery agent only worries about finding the right ID. The retrieval agent then handles the heavy lifting of parsing the actual JSON content.
Track asset changes inside your OpenAI agent loop
The agent monitors your media library by calling `list_assets` to see what files are live. It extracts the raw URL and metadata using `get_asset_details` to feed your vision models or processing pipelines. Because the OpenAI Agents SDK handles tracing natively, you can see every single asset call in your dashboard. You know exactly which image metadata your agent analyzed and when.
Set up Contentstack 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 Contentstack tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Contentstack tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Contentstack 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="Contentstack Agent",
instructions="You have access to Contentstack 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 Contentstack. 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.
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Common questions about Contentstack MCP in OpenAI Agents SDK
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