Storyblok MCP Server for AutoGen 9 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Storyblok as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="storyblok_agent",
tools=tools,
system_message=(
"You help users with Storyblok. "
"9 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Storyblok tools. Connect 9 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Storyblok MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 9 tools from Storyblok automatically
Why Use AutoGen with the Storyblok MCP Server
AutoGen provides unique advantages when paired with Storyblok through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Storyblok tools to solve complex tasks
Role-based architecture lets you assign Storyblok tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Storyblok tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Storyblok tool responses in an isolated environment
Storyblok + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Storyblok MCP Server delivers measurable value.
Collaborative analysis: one agent queries Storyblok while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Storyblok, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Storyblok data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Storyblok responses in a sandboxed execution environment
Storyblok MCP Tools for AutoGen (9)
These 9 tools become available when you connect Storyblok to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Storyblok to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Storyblok + AutoGen FAQ
Common questions about integrating Storyblok MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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.
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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 AutoGen
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.