Cronofy 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 Cronofy 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 Cronofy "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Cronofy?"
)
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 Cronofy MCP Server
Connect your Cronofy account to any AI agent and take full control of your unified calendar and scheduling workflows through natural conversation.
Pydantic AI validates every Cronofy 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
- Unified Event Management — List, retrieve, and create events across aggregated Google, iCloud, and Exchange overlays limitlessly
- Multi-User Availability — Query availability for up to 10 participants simultaneously, calculating strict intersections to find the perfect meeting time
- Free/Busy Auditing — Execute bulk iterations to map time matrices and return exact available boundaries without exposing event payloads
- Automated Scheduling — Generate live-availability links and shared scheduling requests to simplify meeting coordination with external members
- Identity & Profile Mapping — Inspect unified account canonical IDs and list distinct identity providers connected natively to your Cronofy profile
- Sync Control — Irreversibly vaporize explicit validations and delete events to maintain absolute consistency across all connected upstream providers
The Cronofy 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 Cronofy to Pydantic AI via MCP
Follow these steps to integrate the Cronofy 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 Cronofy with type-safe schemas
Why Use Pydantic AI with the Cronofy MCP Server
Pydantic AI provides unique advantages when paired with Cronofy 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 Cronofy integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Cronofy connection logic from agent behavior for testable, maintainable code
Cronofy + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Cronofy MCP Server delivers measurable value.
Type-safe data pipelines: query Cronofy with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Cronofy tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Cronofy and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Cronofy responses and write comprehensive agent tests
Cronofy MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Cronofy to Pydantic AI via MCP:
create_event
Provision a highly-available JSON Payload generating explicit Sync links
create_scheduling_request
Fetch elaborate explicit mapped limits via native forms dispatch
delete_event
Irreversibly vaporize explicit validations extracting rich Provider syncs
get_account
Inspect deep internal arrays mitigating specific Sub Provider lists
get_free_busy
Enumerate explicitly attached structured rules exporting active Overlaps
get_user_info
Identify precise active arrays spanning native Gateway auth bounds
list_calendars
Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly
list_profiles
Retrieve the exact structural matching verifying Blueprint directories
query_availability
Dispatch an automated validation check routing explicit Cross-Provider checks
read_events
cronofy.com/v1/events` pulling unified aggregated Google, iCloud, and Exchange overlays limitlessly. Identify bounded CRM records inside the Headless Cronofy Engine
Example Prompts for Cronofy in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Cronofy immediately.
"List my calendar events from tomorrow to next week"
"Find a 30-minute slot for a meeting with john@example.com tomorrow"
"Create a scheduling link for a 'Project Review' meeting"
Troubleshooting Cronofy MCP Server with Pydantic AI
Common issues when connecting Cronofy to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCronofy + Pydantic AI FAQ
Common questions about integrating Cronofy 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 Cronofy 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 Cronofy to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.