EasySendy MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Add Multiple Subscribers, Add Subscriber, Create List, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect EasySendy 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 EasySendy app connector for Pydantic AI is a standout in the Productivity 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 EasySendy "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in EasySendy?"
)
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 EasySendy MCP Server
Connect your EasySendy account to any AI agent and take full control of your email marketing lists and subscriber engagement workflows through natural conversation.
Pydantic AI validates every EasySendy 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
- Audience Orchestration — Create and manage email subscriber lists programmatically, including retrieving detailed metadata and custom tags
- Subscriber Lifecycle — Programmatically add, update, or remove subscribers from lists and manage detailed profiles directly from your agent
- Batch Intelligence — Perform large-scale subscriber imports and batch operations to streamline your high-volume marketing campaigns
- Engagement Control — Programmatically unsubscribe users or manage opt-in types (single/double) to ensure high-fidelity list hygiene and compliance
- Field Customization — Retrieve and manage custom contact fields and tags to maintain a structured and personalized communication ecosystem
The EasySendy 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 EasySendy tools available for Pydantic AI
When Pydantic AI connects to EasySendy through Vinkius, your AI agent gets direct access to every tool listed below — spanning easysendy, email-marketing, subscribers-api, 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.
Input should be an array of subscriber objects. Add multiple subscribers to a list
Requires the List UID and at least an EMAIL address. Add a single subscriber to a list
Create a new subscriber list
Delete a subscriber list
Delete a subscriber from a list
Get custom fields/tags for a list
Get details for a specific subscriber
List all subscriber lists
Unsubscribe a user from a list
Update an existing subscriber list
Update an existing subscriber
Connect EasySendy to Pydantic AI via MCP
Follow these steps to wire EasySendy 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 EasySendy MCP Server
Pydantic AI provides unique advantages when paired with EasySendy 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 EasySendy integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your EasySendy connection logic from agent behavior for testable, maintainable code
EasySendy + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the EasySendy MCP Server delivers measurable value.
Type-safe data pipelines: query EasySendy with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple EasySendy tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query EasySendy and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock EasySendy responses and write comprehensive agent tests
Example Prompts for EasySendy in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with EasySendy immediately.
"List all my email subscriber lists in EasySendy."
"Add subscriber 'john.doe@example.com' to list UID 'abc-123'."
"Find subscriber details for 'sarah@example.com' in list 'abc-123'."
Troubleshooting EasySendy MCP Server with Pydantic AI
Common issues when connecting EasySendy to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiEasySendy + Pydantic AI FAQ
Common questions about integrating EasySendy 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.