Webiny CMS MCP Server for Pydantic AI 9 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Webiny CMS through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Webiny CMS "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in Webiny CMS?"
)
print(result.data)
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.
Pydantic AI validates every Webiny CMS tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Webiny CMS MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 9 tools from Webiny CMS with type-safe schemas
Why Use Pydantic AI with the Webiny CMS MCP Server
Pydantic AI provides unique advantages when paired with Webiny CMS through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Webiny CMS integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Webiny CMS connection logic from agent behavior for testable, maintainable code
Webiny CMS + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Webiny CMS MCP Server delivers measurable value.
Type-safe data pipelines: query Webiny CMS with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Webiny CMS tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Webiny CMS and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Webiny CMS responses and write comprehensive agent tests
Webiny CMS MCP Tools for Pydantic AI (9)
These 9 tools become available when you connect Webiny CMS to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Webiny CMS to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiWebiny CMS + Pydantic AI FAQ
Common questions about integrating Webiny CMS MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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.
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 Webiny CMS to Pydantic AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.