Crafter CMS MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Crafter 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 Crafter CMS "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Crafter 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 Crafter CMS MCP Server
Connect your Crafter CMS instance to any AI agent and take full control of your enterprise headless CMS and Git-based content workflows through natural conversation.
Pydantic AI validates every Crafter CMS tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- GraphQL Orchestration — Execute absolute explicit nesting requirements against the delivery schema using raw GraphQL payloads natively
- Studio Tree Navigation — Perform structural extraction of properties driving active Git hierarchies and trace nested XML structures safely
- Git-Based Content Writing — Provision highly-available XML payloads to write physical Git boundaries and generate new pages or components
- Live Publishing — Trigger automated workflow bounds to migrate changes from Crafter Studio onto the high-performance Delivery Engine
- Elasticsearch Discovery — Inspect deep internal arrays leveraging integrated Elasticsearch to perform full-text queries spanning all content nodes
- Platform Governance — Identify precise active arrays spanning rented Context domains and list configured sites and studio users securely
- Environment Audit — Discovered disconnected physical limits fetching site configurations and global variables tied to your frontend SDKs
The Crafter CMS MCP Server exposes 10 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 Crafter CMS to Pydantic AI via MCP
Follow these steps to integrate the Crafter 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 10 tools from Crafter CMS with type-safe schemas
Why Use Pydantic AI with the Crafter CMS MCP Server
Pydantic AI provides unique advantages when paired with Crafter 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 Crafter 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 Crafter CMS connection logic from agent behavior for testable, maintainable code
Crafter CMS + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Crafter CMS MCP Server delivers measurable value.
Type-safe data pipelines: query Crafter CMS with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Crafter CMS tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Crafter CMS and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Crafter CMS responses and write comprehensive agent tests
Crafter CMS MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Crafter CMS to Pydantic AI via MCP:
execute_graphql_payload
Identify bounded routing spaces inside the Headless Crafter Engine
get_site_config
json` isolating GraphQL URL limits. Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly
get_site_globals
Enumerate explicitly attached structured rules exporting active Configuration
get_studio_tree
json` identifying exact folders tracing nested XML structures safely. Perform structural extraction of properties driving active Git hierarchies
list_platform_sites
Identify precise active arrays spanning rented Context domains
list_studio_users
Retrieve the exact structural matching verifying Blueprint constraints
publish_crafter_content
json` executing workflow bounds migrating a Studio change onto the Delivery Engine live endpoint. Dispatch an automated validation check routing explicit Deployments
search_crafter_delivery
Inspect deep internal arrays mitigating specific Picture constraints
wipe_studio_xml
Irreversibly vaporize explicit App nodes dropping live Database bytes
write_studio_xml
json` generating pages. Provision a highly-available XML Payload generating new Content nodes
Example Prompts for Crafter CMS in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Crafter CMS immediately.
"List all sites in my Crafter CMS deployment"
"Execute GraphQL query on site 'corporate': '{ articles { items { title_s } } }'"
"Show me the Git tree for site 'marketing' at path '/site/website/landing-pages'"
Troubleshooting Crafter CMS MCP Server with Pydantic AI
Common issues when connecting Crafter CMS to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCrafter CMS + Pydantic AI FAQ
Common questions about integrating Crafter 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 Crafter 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 Crafter CMS to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.