# How to integrate Storyblok MCP with Autogen ```json { "title": "How to integrate Storyblok MCP with Autogen", "toolkit": "Storyblok", "toolkit_slug": "storyblok", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/storyblok/framework/autogen", "markdown_url": "https://composio.dev/toolkits/storyblok/framework/autogen.md", "updated_at": "2026-03-29T06:51:51.822Z" } ``` ## Introduction This guide walks you through connecting Storyblok to AutoGen using the Composio tool router. By the end, you'll have a working Storyblok agent that can create a new blog post draft, list all unpublished blog posts, update page content for the homepage through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Storyblok account through Composio's Storyblok MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Storyblok with - [OpenAI Agents SDK](https://composio.dev/toolkits/storyblok/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/storyblok/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/storyblok/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/storyblok/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/storyblok/framework/codex) - [OpenClaw](https://composio.dev/toolkits/storyblok/framework/openclaw) - [Hermes](https://composio.dev/toolkits/storyblok/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/storyblok/framework/cli) - [Google ADK](https://composio.dev/toolkits/storyblok/framework/google-adk) - [LangChain](https://composio.dev/toolkits/storyblok/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/storyblok/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/storyblok/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/storyblok/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/storyblok/framework/crew-ai) ## TL;DR Here's what you'll learn: - Get and set up your OpenAI and Composio API keys - Install the required dependencies for Autogen and Composio - Initialize Composio and create a Tool Router session for Storyblok - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Storyblok tools - Run a live chat loop where you ask the agent to perform Storyblok operations ## What is AutoGen? Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows. Key features include: - Multi-Agent Systems: Build collaborative agent workflows - MCP Workbench: Native support for Model Context Protocol tools - Streaming HTTP: Connect to external services through streamable HTTP - AssistantAgent: Pre-built agent class for tool-using assistants ## What is the Storyblok MCP server, and what's possible with it? The Storyblok MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Storyblok account. It provides structured and secure access so your agent can perform Storyblok operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `STORYBLOK_FETCH_CONTENT_TYPE_ITEMS_GRAPHQL` | Fetch Content Type Items (GraphQL) | Fetch multiple stories/content items using Storyblok's GraphQL API with filtering and pagination. Use starts_with with language code prefix (e.g., 'es/*', 'hi/*') to retrieve translated content in specific languages. | | `STORYBLOK_FETCH_GRAPHQL_CONTENT_ITEM` | Fetch GraphQL Content Item | Tool to fetch a single story in a specific language using Storyblok GraphQL API with field-level translations. For each content type (e.g., Page), Storyblok generates a ContentTypeItem field (e.g., PageItem). Use when you need to retrieve a specific story by ID or slug with optional language translation. | | `STORYBLOK_GET_APP` | Get Extension/App | Tool to retrieve a Storyblok extension/app by ID using the Management API. Use when you need to fetch details about a specific extension or app installed in Storyblok. | | `STORYBLOK_GET_DATASOURCE_ENTRIES` | Get Datasource Entries | Tool to retrieve datasource entries from Storyblok via GraphQL API. Use when you need to fetch datasource data. Returns datasource entries with fields like id, name, value, and dimension_value. | | `STORYBLOK_GET_GRAPHQL_RATE_LIMIT` | Get GraphQL Rate Limit | Tool to retrieve rate limit information from Storyblok GraphQL API. Use when you need to check the maximum cost per request to calculate safe request rates (100 / maxCost = requests per second). | | `STORYBLOK_GET_PAGE_ITEM` | Get Page Item | Tool to retrieve a single page item by ID or slug from Storyblok using GraphQL. Use when you need to fetch specific page content with custom field selection. Supports both draft and published versions. | | `STORYBLOK_LIST_GRAPHQL_CONTENT_TYPE_ITEMS` | List GraphQL Content Type Items | Tool to retrieve multiple content items with pagination, filtering, and relation resolution for any Storyblok content type via GraphQL. Content types are dynamically generated as [ContentType]Items (e.g., PageItems, BlogArticleItems). Use when you need to query structured content with flexible field selection and filtering. | | `STORYBLOK_QUERY_PAGE_ITEMS_VIA_GRAPHQL` | Query page items via GraphQL | Execute GraphQL queries to retrieve multiple page items from Storyblok with filtering options. Use when you need to fetch page content with filters like path prefix, publish date, or slug exclusions. | | `STORYBLOK_RETRIEVE_LINKS_VIA_GRAPHQL` | Retrieve Links via GraphQL | Tool to retrieve links for navigation using Storyblok's GraphQL API. Use when you need to fetch navigation links with their metadata (id, uuid, slug, name, published status). | | `STORYBLOK_RETRIEVE_TAGS_VIA_GRAPHQL` | Retrieve Tags via GraphQL | Tool to retrieve tags from Storyblok via GraphQL API. Use when you need to fetch available tags for content organization and filtering. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Storyblok MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Storyblok. Instead of manually wiring Storyblok APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites You will need: - A Composio API key - An OpenAI API key (used by Autogen's OpenAIChatCompletionClient) - A Storyblok account you can connect to Composio - Some basic familiarity with Autogen and Python async ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider. - Keep the API key safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install Composio, Autogen extensions, and dotenv. What's happening: - composio connects your agent to Storyblok via MCP - autogen-agentchat provides the AssistantAgent class - autogen-ext-openai provides the OpenAI model client - autogen-ext-tools provides MCP workbench support ```bash pip install composio python-dotenv pip install autogen-agentchat autogen-ext-openai autogen-ext-tools ``` ### 3. Set up environment variables Create a .env file in your project folder. What's happening: - COMPOSIO_API_KEY is required to talk to Composio - OPENAI_API_KEY is used by Autogen's OpenAI client - USER_ID is how Composio identifies which user's Storyblok connections to use ```bash COMPOSIO_API_KEY=your-composio-api-key OPENAI_API_KEY=your-openai-api-key USER_ID=your-user-identifier@example.com ``` ### 4. Import dependencies and create Tool Router session What's happening: - load_dotenv() reads your .env file - Composio(api_key=...) initializes the SDK - create(...) creates a Tool Router session that exposes Storyblok tools - session.mcp.url is the MCP endpoint that Autogen will connect to ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Storyblok session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["storyblok"] ) url = session.mcp.url ``` ### 5. Configure MCP parameters for Autogen Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for. What's happening: - url points to the Tool Router MCP endpoint from Composio - timeout is the HTTP timeout for requests - sse_read_timeout controls how long to wait when streaming responses - terminate_on_close=True cleans up the MCP server process when the workbench is closed ```python # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) ``` ### 6. Create the model client and agent What's happening: - OpenAIChatCompletionClient wraps the OpenAI model for Autogen - McpWorkbench connects the agent to the MCP tools - AssistantAgent is configured with the Storyblok tools from the workbench ```python # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Storyblok assistant agent with MCP tools agent = AssistantAgent( name="storyblok_assistant", description="An AI assistant that helps with Storyblok operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) ``` ### 7. Run the interactive chat loop What's happening: - The script prompts you in a loop with You: - Autogen passes your input to the model, which decides which Storyblok tools to call via MCP - agent.run_stream(...) yields streaming messages as the agent thinks and calls tools - Typing exit, quit, or bye ends the loop ```python print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Storyblok related question or task to the agent.\n") # Conversation loop while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, "content") and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Storyblok session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["storyblok"] ) url = session.mcp.url # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Storyblok assistant agent with MCP tools agent = AssistantAgent( name="storyblok_assistant", description="An AI assistant that helps with Storyblok operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Storyblok related question or task to the agent.\n") # Conversation loop while True: user_input = input("You: ").strip() if user_input.lower() in ['exit', 'quit', 'bye']: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, 'content') and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You now have an Autogen assistant wired into Storyblok through Composio's Tool Router and MCP. From here you can: - Add more toolkits to the toolkits list, for example notion or hubspot - Refine the agent description to point it at specific workflows - Wrap this script behind a UI, Slack bot, or internal tool Once the pattern is clear for Storyblok, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Storyblok MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/storyblok/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/storyblok/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/storyblok/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/storyblok/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/storyblok/framework/codex) - [OpenClaw](https://composio.dev/toolkits/storyblok/framework/openclaw) - [Hermes](https://composio.dev/toolkits/storyblok/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/storyblok/framework/cli) - [Google ADK](https://composio.dev/toolkits/storyblok/framework/google-adk) - [LangChain](https://composio.dev/toolkits/storyblok/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/storyblok/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/storyblok/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/storyblok/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/storyblok/framework/crew-ai) ## Related Toolkits - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze. - [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing. - [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages. - [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections. - [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach. - [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Affinda](https://composio.dev/toolkits/affinda) - Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Storyblok MCP? With a standalone Storyblok MCP server, the agents and LLMs can only access a fixed set of Storyblok tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Storyblok and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Autogen? Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Storyblok tools. ### Can I manage the permissions and scopes for Storyblok while using Tool Router? Yes, absolutely. You can configure which Storyblok scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do. ### How safe is my data with Composio Tool Router? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Storyblok data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)