Flotiq 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 Flotiq 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="Flotiq Assistant",
instructions=(
"You help users interact with Flotiq. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Flotiq"
)
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 Flotiq MCP Server
Connect your Flotiq account to any AI agent and take full control of your API-first headless CMS and structured content delivery through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Flotiq through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Flotiq, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Content Object Orchestration — Identify bounded routing spaces inside the headless Flotiq CMS and extract explicitly attached REST arrays targeting specific content types natively
- Live Record Management — Provision highly-available JSON payloads to write or update Flotiq models, or irreversibly vaporize specific nodes to clear live database bytes
- Schema Auditing — Retrieve the exact structural matching for delivery models and enumerate explicitly attached structured rules exporting active type vectors
- Global Semantic Search — Execute immediate queries across all content by tapping raw status configurations validating words bounding Elastic/Graph limits flawlessly
- Media Asset Discovery — Perform structural extraction of properties driving active media limits by hitting physical CDN uploads mapped in your tenant environment
- Relational Data Hydration — Analyze specific ID configurations mapping to internal dependencies and parsing relations securely through hydrated object retrieval
- Tenant Oversight — Identify precise active arrays spanning your rented identity limits, analyzing quotas and base endpoints available synchronously
The Flotiq 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 Flotiq to OpenAI Agents SDK via MCP
Follow these steps to integrate the Flotiq 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 Flotiq
Why Use OpenAI Agents SDK with the Flotiq MCP Server
OpenAI Agents SDK provides unique advantages when paired with Flotiq 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
Flotiq + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Flotiq MCP Server delivers measurable value.
Automated workflows: build agents that query Flotiq, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Flotiq, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Flotiq tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Flotiq to resolve tickets, look up records, and update statuses without human intervention
Flotiq MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Flotiq to OpenAI Agents SDK via MCP:
create_cms_object
Provision a highly-available JSON Payload writing models natively
get_content_details
Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly
get_content_type_schema
Retrieve the exact structural matching verifying Delivery Model blocks
get_tenant_limits
Identify precise active arrays spanning rented Identity limits
list_all_content_types
Enumerate explicitly attached structured rules exporting active Type vectors
list_content_objects
Identify bounded routing spaces inside the Headless Flotiq CMS
list_media_assets
Perform structural extraction of properties driving active Media limits
patch_cms_object
Mutate global Web CRM boundaries substituting Attributes safely
search_global_content
Inspect deep internal arrays mitigating specific Picture constraints
wipe_cms_object
Irreversibly vaporize explicit App nodes dropping live Database bytes
Example Prompts for Flotiq in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Flotiq immediately.
"List all items of content type 'blogpost'"
"Show me the JSON schema for content type 'product'"
"Search global content for 'feature launch'"
Troubleshooting Flotiq MCP Server with OpenAI Agents SDK
Common issues when connecting Flotiq to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Flotiq + OpenAI Agents SDK FAQ
Common questions about integrating Flotiq 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 Flotiq 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 Flotiq to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.