How to Use the Flotiq MCP in OpenAI Agents SDK

Q: How do I configure Flotiq schema validation in the OpenAI Agents SDK?

You call getcontenttypeschema to retrieve the active validation rules from your Flotiq tenant. The OpenAI Agents SDK maps these rules to its tool definitions, forcing the agent to output valid JSON payloads that match your delivery model.

Q: Can my OpenAI Agents SDK system search assets in Flotiq?

Yes, your agent uses listmediaassets and searchglobalcontent to find images, files, and text blocks inside your Flotiq workspace. The OpenAI Agents SDK processes the returned metadata to reference assets in new content objects.

Q: What happens if my agent hits Flotiq API rate limits?

The gettenantlimits tool checks your active plan boundaries to prevent rate-limiting errors. If your agent detects that it is close to your rented identity limits, it pauses execution or throttles its requests automatically.

Give your OpenAI Agents SDK production agents direct access to Flotiq headless CMS schemas, media assets, and structured content via this MCP Server.

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Connect Flotiq MCP to OpenAI Agents SDK

Create your Vinkius account to connect Flotiq 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.

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Setup Flotiq with OpenAI Agents SDK

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Build safe content pipelines with OpenAI Agents SDK

You use `get_content_type_schema` and `list_content_objects` to let your OpenAI Agents SDK system inspect your Flotiq content architecture before making any edits. The agent reads the exact structural rules of your delivery model, preventing it from hallucinating fields or sending malformed payloads. This structure keeps your production CMS safe from corrupted entries. OpenAI's built-in validation rules run these schemas on every turn. If your agent tries to write a bad block, the SDK stops the execution before the API ever sees it. You get clean, validated headless content without babysitting the run.

Automated media and content updates

The `create_cms_object` and `patch_cms_object` tools let your OpenAI Agents SDK agent write and modify live Flotiq entries dynamically. It handles raw JSON payloads natively, matching your exact content models. This means your agent can write blog posts, update product specs, or sync CRM fields on the fly. Because the OpenAI Agents SDK manages state handoffs between specialized agents, you can have one agent draft the text and another check it against Flotiq rules. They pass the payload back and forth until it matches your schema requirements.

Safe schema audits and database cleanup

You deploy `list_all_content_types` and `wipe_cms_object` to audit your Flotiq workspace and delete obsolete data nodes directly through your OpenAI Agents SDK agent. This MCP integration pulls active type vectors to find abandoned schemas or stale content blocks. It keeps your workspace clean without requiring you to log into the Flotiq web console. To prevent catastrophic mistakes, you can wrap the destructive tools in OpenAI's native guardrails. The agent must request human approval before executing a deletion, keeping your production database safe.

Setup guide

Set up Flotiq MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Flotiq tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Flotiq tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Flotiq tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="Flotiq Agent",
            instructions="You have access to Flotiq tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Flotiq MCP in OpenAI Agents SDK

You call `get_content_type_schema` to retrieve the active validation rules from your Flotiq tenant. The OpenAI Agents SDK maps these rules to its tool definitions, forcing the agent to output valid JSON payloads that match your delivery model.

Yes, your agent uses `list_media_assets` and `search_global_content` to find images, files, and text blocks inside your Flotiq workspace. The OpenAI Agents SDK processes the returned metadata to reference assets in new content objects.

Yes, the server handles parallel execution when your OpenAI Agents SDK agent needs to query multiple endpoints at once. For example, it can run `get_tenant_limits` and `list_content_objects` simultaneously to verify API quota before executing a bulk import.

The `get_tenant_limits` tool checks your active plan boundaries to prevent rate-limiting errors. If your agent detects that it is close to your rented identity limits, it pauses execution or throttles its requests automatically.

Your Flotiq content objects, media metadata, and API tokens never leave the secure V8 sandbox. Vinkius runs this MCP Server in an isolated, ephemeral environment, passing requests directly to the Flotiq API without caching or storing your raw JSON payloads.

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