Storyblok MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Storyblok through the 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="Storyblok Assistant",
instructions=(
"You help users interact with Storyblok. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Storyblok"
)
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 Storyblok MCP Server
Integrate the powerful headless CMS capabilities of Storyblok directly into your conversational AI. Empower your content teams and developers to organically draft narratives, parse complex asset repositories, and orchestrate page component definitions without relying entirely on the visual editor. Bind your AI local context directly to your Storyblok environment securely, enabling programmatic schema generation and continuous iteration utilizing a streamlined conversational interface designed to accelerate creative velocity.
The OpenAI Agents SDK auto-discovers all 9 tools from Storyblok through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Storyblok, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Space & Content Discovery — Instantly list active enterprise environments utilizing
list_spacesand fetch broad overarching overviews referencing stories vialist_stories. - Content Construction — Swiftly produce or update textual assets creating schemas directly from prompts invoking
create_content_storyandupdate_content_storysystematically. - Asset & Structure Exploration — Analyze media repositories via
list_assetsand precisely inspect available schema blueprints callinglist_componentsto standardize development. - Risk Management — Exercise safe administrative control over local projects, evaluating internal authorized operators implementing modifications using
list_space_users.
The Storyblok MCP Server exposes 9 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 Storyblok to OpenAI Agents SDK via MCP
Follow these steps to integrate the Storyblok 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 9 tools from Storyblok
Why Use OpenAI Agents SDK with the Storyblok MCP Server
OpenAI Agents SDK provides unique advantages when paired with Storyblok 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
Storyblok + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Storyblok MCP Server delivers measurable value.
Automated workflows: build agents that query Storyblok, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Storyblok, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Storyblok tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Storyblok to resolve tickets, look up records, and update statuses without human intervention
Storyblok MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Storyblok to OpenAI Agents SDK via MCP:
create_content_story
Provide a name, slug, and content JSON. Creates a new story in a Storyblok space
delete_content_story
This action is irreversible. Permanently deletes a Storyblok story
get_story_details
Retrieves details for a specific content story
list_assets
Lists media assets in a Storyblok space
list_components
Lists available content components
list_space_users
Lists all users with access to a specific space
list_spaces
Lists all accessible Storyblok spaces
list_stories
Requires a space ID. Lists content stories within a specific space
update_content_story
Requires space and story IDs. Updates fields of an existing Storyblok story
Example Prompts for Storyblok in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Storyblok immediately.
"List the recent articles from my Storyblok space and detail their structural components."
"List the structure blueprints by calling list_components and then formulate a new JSON to create a blog story."
"List all multimedia assets in my Storyblok space and display their URLs."
Troubleshooting Storyblok MCP Server with OpenAI Agents SDK
Common issues when connecting Storyblok to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Storyblok + OpenAI Agents SDK FAQ
Common questions about integrating Storyblok 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 Storyblok 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 Storyblok to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.