Mailsoftly MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Mailsoftly 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 Mailsoftly "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Mailsoftly?"
)
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 Mailsoftly MCP Server
Connect your Mailsoftly account to any AI agent to automate your email marketing and audience management. This MCP server enables your agent to manage subscriber lists, create contacts, and trigger campaign sends directly from natural language interfaces.
Pydantic AI validates every Mailsoftly tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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
- Campaign Management — List all email campaigns, retrieve detailed metadata, and trigger official dispatches to targeted segments
- Audience Oversight — List and manage your subscriber collections (lists) and retrieve their unique identifiers
- Contact Control — Create new subscriber records and add contacts to specific lists programmatically
- Engagement Auditing — Retrieve a history of sent campaigns and monitor click-through data for performance analysis
- Database Ingestion — Sync contact information and manage subscriber data effortlessly via AI commands
The Mailsoftly MCP Server exposes 8 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 Mailsoftly to Pydantic AI via MCP
Follow these steps to integrate the Mailsoftly 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 8 tools from Mailsoftly with type-safe schemas
Why Use Pydantic AI with the Mailsoftly MCP Server
Pydantic AI provides unique advantages when paired with Mailsoftly 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 Mailsoftly integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Mailsoftly connection logic from agent behavior for testable, maintainable code
Mailsoftly + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Mailsoftly MCP Server delivers measurable value.
Type-safe data pipelines: query Mailsoftly with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Mailsoftly tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Mailsoftly and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Mailsoftly responses and write comprehensive agent tests
Mailsoftly MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect Mailsoftly to Pydantic AI via MCP:
add_contact_to_list
Requires email and contact_list ID. Subscribe a contact to a specific list
create_base_contact
Requires email. Add a new contact to the database
get_campaign_click_data
Retrieve click engagement for a sent campaign
get_campaign_details
Get details for a specific campaign
list_marketing_campaigns
List all marketing campaigns
list_sent_history
List campaigns that have been sent
list_subscriber_collections
List all contact lists
send_campaign_to_all
Trigger the send process for a campaign
Example Prompts for Mailsoftly in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Mailsoftly immediately.
"List all my email campaigns in Mailsoftly."
"Add 'user@example.com' to my 'VIP Customers' list (ID: 'list-987')."
"Show click statistics for sent campaign ID 'cp456'."
Troubleshooting Mailsoftly MCP Server with Pydantic AI
Common issues when connecting Mailsoftly to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiMailsoftly + Pydantic AI FAQ
Common questions about integrating Mailsoftly 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 Mailsoftly 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 Mailsoftly to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.