Webiny CMS 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 Webiny CMS 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="Webiny CMS Assistant",
instructions=(
"You help users interact with Webiny CMS. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Webiny CMS"
)
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 Webiny CMS MCP Server
Connect your Webiny CMS instance to any AI agent and manage your headless content infrastructure through natural conversation.
The OpenAI Agents SDK auto-discovers all 9 tools from Webiny CMS through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Webiny CMS, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Content Lifecycle — Create, update, publish, and delete content entries for any model directly from your agent
- Model Discovery — List all entries for specific content models and browse available data structures using introspection
- Advanced GraphQL — Execute raw GraphQL queries or mutations for custom logic and complex nested data operations
- Revision Control — Retrieve specific entry details by ID to inspect metadata and field-level property values
- API Management — Discover available types, fields, and models in your current environment through automated introspection
- Global Config — Verify high-level tenant settings and configurations to ensure your CMS environment is healthy
- Multi-Locale Support — Seamlessly manage content across different language locales (e.g., en-US, pt-BR)
The Webiny CMS 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 Webiny CMS to OpenAI Agents SDK via MCP
Follow these steps to integrate the Webiny CMS 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 Webiny CMS
Why Use OpenAI Agents SDK with the Webiny CMS MCP Server
OpenAI Agents SDK provides unique advantages when paired with Webiny CMS 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
Webiny CMS + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Webiny CMS MCP Server delivers measurable value.
Automated workflows: build agents that query Webiny CMS, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Webiny CMS, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Webiny CMS tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Webiny CMS to resolve tickets, look up records, and update statuses without human intervention
Webiny CMS MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Webiny CMS to OpenAI Agents SDK via MCP:
create_cms_entry
Provide the singular model name and field data as a JSON object. Creates a new draft entry for a content model
delete_cms_entry
This action is irreversible. Permanently deletes a content entry revision
execute_graphql_query
Specify api_type (manage, read, preview) and locale. Executes a raw GraphQL query or mutation against the Webiny CMS API
get_api_introspection
Retrieves the GraphQL schema introspection for the Webiny instance
get_model_entry_details
ID refers to the specific revision. Retrieves details for a specific content model entry
get_tenant_config
Retrieves global settings for the Webiny tenant
list_model_entries
Provide the model plural name (e.g. "Articles"). Specify api_type (manage for drafts, read for live). Lists all entries for a specific content model in Webiny
publish_cms_entry
Provide the specific revision ID. Publishes a draft entry, making it available via the "read" API
update_cms_entry
Provide the entry ID and a JSON object containing the field updates. Updates fields of an existing content entry revision
Example Prompts for Webiny CMS in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Webiny CMS immediately.
"List all entries for the 'BlogPosts' model in en-US."
"Create a new 'Author' entry: { 'name': 'John Doe', 'bio': 'Tech Writer' } in en-US."
"Publish the entry with ID 'post-123' for model 'Article'."
Troubleshooting Webiny CMS MCP Server with OpenAI Agents SDK
Common issues when connecting Webiny CMS to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Webiny CMS + OpenAI Agents SDK FAQ
Common questions about integrating Webiny CMS 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 Webiny CMS 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 Webiny CMS to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.