Courier 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 Courier 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 Courier "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Courier?"
)
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 Courier MCP Server
Integrate Courier, the smart notification infrastructure, directly into your AI workflow. Design, orchestrate, and send messages across email, SMS, push, and chat apps using natural language.
Pydantic AI validates every Courier 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
- Send Notifications — Trigger complex notification workflows to any recipient via the Send API.
- Message Monitoring — List sent messages and track their real-time delivery status (sent, delivered, opened).
- Template Management — Browse available notification templates and custom brands.
- Audience & User Insights — Manage subscription lists and retrieve user profiles.
The Courier 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 Courier to Pydantic AI via MCP
Follow these steps to integrate the Courier 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 Courier with type-safe schemas
Why Use Pydantic AI with the Courier MCP Server
Pydantic AI provides unique advantages when paired with Courier 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 Courier integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Courier connection logic from agent behavior for testable, maintainable code
Courier + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Courier MCP Server delivers measurable value.
Type-safe data pipelines: query Courier with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Courier tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Courier and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Courier responses and write comprehensive agent tests
Courier MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Courier to Pydantic AI via MCP:
get_message_details
Touches delivery logs, provider responses, and rendering metadata boundary. Get details for a specific message by ID
get_message_history
Resolves event types (SENT, DELIVERED, etc.) and detailed provider logs. Get the delivery history logs for a message
get_user_profile
Resolves contact details (email, phone) and channel-specific delivery preferences. Get the profile data for a specific user
list_audiences
Resolves audience IDs, names, and filter criteria used for segmentation. List saved audiences for targeted notifications
list_brands
Resolves brand names, colors, and logo settings used for white-labeling notifications. List custom brands configured in Courier
list_messages
Resolves message IDs, recipient identifiers, status (SENT, DELIVERED, OPENED, CLICKED), and timestamps. List sent messages and their current status
list_subscription_lists
Resolves list IDs, names, and subscriber counts. List subscription lists for managing recipients
list_templates
Resolves template names, IDs, and supported channels. List available notification templates
list_users
Resolves user IDs, roles, and account association details. List users registered in the Courier workspace
send_notification
Touches recipient profile, template engine, and multi-channel provider boundaries. Send a notification to a recipient
Example Prompts for Courier in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Courier immediately.
"Check the delivery status of the last message sent to 'user@example.com'."
"Send a 'Welcome' notification to the new user with ID 'user_123'."
"List all notification templates available in my account."
Troubleshooting Courier MCP Server with Pydantic AI
Common issues when connecting Courier to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCourier + Pydantic AI FAQ
Common questions about integrating Courier 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 Courier 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 Courier to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.