# How to integrate Storyblok MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Storyblok MCP with OpenAI Agents SDK",
  "toolkit": "Storyblok",
  "toolkit_slug": "storyblok",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/storyblok/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/storyblok/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-03-29T06:51:51.822Z"
}
```

## Introduction

This guide walks you through connecting Storyblok to the OpenAI Agents SDK 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 By the end, you'll have a working Storyblok agent that can create a new blog post draft, list all unpublished blog posts, update page content for the homepage through natural language commands.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 OpenAI Agents SDK 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

- [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 necessary dependencies
- Initialize Composio and create a Tool Router session for Storyblok
- Configure an AI agent that can use Storyblok as a tool
- Run a live chat session where you can ask the agent to perform Storyblok operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## 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 agent to Storyblok. It provides structured and secure access so your agent can perform Storyblok operations on your behalf through a secure, permission-based interface.
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

Before starting, make sure you have:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Storyblok project
- Some knowledge of Python or Typescript

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Storyblok.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only storyblok.
- The router checks the user's Storyblok connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Storyblok.
- This approach keeps things lightweight and lets the agent request Storyblok tools only when needed during the conversation.
```python
# Create a Storyblok Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["storyblok"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Storyblok
const session = await composio.create(userId as string, {
  toolkits: ['storyblok'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Storyblok. "
        "Help users perform Storyblok operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Storyblok. Help users perform Storyblok operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["storyblok"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Storyblok. "
        "Help users perform Storyblok operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['storyblok'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Storyblok. Help users perform Storyblok operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Storyblok MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Storyblok.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Storyblok MCP Agent with another framework

- [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 OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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)