How to Use the EasySendy MCP in Pydantic AI

Q: Does this MCP Server support list management operations?

Yes, you have access to EasySendy tools like createlist, updatelist, and deletelist in your Pydantic AI code. Every argument passed to these tools is strictly typed, preventing schema drift.

Run type-safe EasySendy subscriber operations with strict runtime validation using Pydantic AI.

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Connect EasySendy MCP to Pydantic AI

Create your Vinkius account to connect EasySendy to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup EasySendy with Pydantic AI

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Type-safe subscriber management with Pydantic AI

Stop silent data corruption in your email lists by using this MCP Server. When your agent calls `add_subscriber`, Pydantic AI validates the email format and custom fields against strict schemas before hitting the EasySendy API. If the model attempts to pass an invalid email structure, the Pydantic AI runtime throws a validation error immediately. This keeps bad data out of your EasySendy lists and protects your reputation.

Bulk import validation without silent failures

Import thousands of contacts safely using `add_multiple_subscribers` with Pydantic AI. The framework validates the array of subscriber objects at the boundary, ensuring every record matches your expected EasySendy type definitions. This prevents partial batch failures where some records succeed and others fail due to bad formatting. You get clean, predictable updates to your EasySendy subscriber databases every time.

Inspect list schemas programmatically

Let your agent discover EasySendy list configurations dynamically using `get_list_fields` inside your Pydantic AI application. The returned fields are parsed into type-safe models that your agent can use to construct subsequent updates. This makes calls to `update_subscriber` highly reliable, as the Pydantic AI agent knows the exact types allowed for each custom field. No more guessing whether an EasySendy tag should be a string or a boolean.

Setup guide

Set up EasySendy MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "easysendy-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to EasySendy tools.",
)

result = await agent.run("List recent EasySendy transactions")
print(result.output)

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Common questions about EasySendy MCP in Pydantic AI

Instantiate MCPToolset with your server URL and pass it to the Pydantic AI agent's toolsets list. The framework automatically registers the EasySendy tools and enforces runtime validation on all inputs and outputs.

The Pydantic AI framework will raise a validation error before the EasySendy tool execution completes. This ensures that tools like `update_subscriber` are never called with invalid email formats.

Yes, you can write a Pydantic AI agent that identifies inactive users and calls `unsubscribe_user` or `delete_subscriber`. The agent's decisions are validated against your Pydantic models to ensure correctness on your EasySendy lists.

Yes, you have access to EasySendy tools like `create_list`, `update_list`, and `delete_list` in your Pydantic AI code. Every argument passed to these tools is strictly typed, preventing schema drift.

Your subscriber email addresses and list configurations are processed in memory through an ephemeral V8 sandbox. The MCP server processes your email addresses securely, and no data is persisted or logged.

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