Smaily MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Create Subscriber, Delete Subscriber, Get Automation, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Smaily through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Smaily app connector for Pydantic AI is a standout in the Marketing Automation category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Smaily "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Smaily?"
)
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 Smaily MCP Server
Connect your Smaily account to any AI agent and simplify your email marketing and automation workflows through natural conversation.
Pydantic AI validates every Smaily tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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
- Subscriber Management — List all contacts in your database, retrieve detailed profile metadata, and create new subscribers programmatically
- Campaign Control — Query past and scheduled email campaigns to monitor your marketing outreach
- Automation & Autoresponders — List configured automated workflows and trigger specific autoresponder emails directly from your agent
- Template catalog — Query available email templates to choose the right look for your messages
- Operational tracking — Stay on top of your marketing performance and subscriber engagement
The Smaily MCP Server exposes 11 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.
All 11 Smaily tools available for Pydantic AI
When Pydantic AI connects to Smaily through Vinkius, your AI agent gets direct access to every tool listed below — spanning subscriber-management, campaign-tracking, email-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a new subscriber
Remove a subscriber
Get details for an automation workflow
Get details for a specific campaign
Get details for a specific subscriber
Get details for an email template
List automated responders
List email campaigns
List message templates
List Smaily subscribers
Trigger an automation email
Connect Smaily to Pydantic AI via MCP
Follow these steps to wire Smaily into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Smaily MCP Server
Pydantic AI provides unique advantages when paired with Smaily 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 Smaily integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Smaily connection logic from agent behavior for testable, maintainable code
Smaily + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Smaily MCP Server delivers measurable value.
Type-safe data pipelines: query Smaily with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Smaily tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Smaily and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Smaily responses and write comprehensive agent tests
Example Prompts for Smaily in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Smaily immediately.
"List all subscribers in Smaily."
"Show me the campaign performance for all email campaigns sent this quarter with engagement trends."
"Create a new subscriber and add them to the VIP customer automation workflow."
Troubleshooting Smaily MCP Server with Pydantic AI
Common issues when connecting Smaily to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSmaily + Pydantic AI FAQ
Common questions about integrating Smaily 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.