Cyberimpact 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 Cyberimpact 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 Cyberimpact "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Cyberimpact?"
)
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 Cyberimpact MCP Server
Integrate Cyberimpact, the Canadian email marketing platform, directly into your AI workflow. Manage your subscriber lists, monitor campaign performance, and track marketing automations using natural language.
Pydantic AI validates every Cyberimpact 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
- Subscriber Management — List, search, and retrieve profiles for your email subscribers.
- Campaign Monitoring — Track sent and scheduled email campaigns and their engagement metrics.
- Automated Workflows — Monitor active marketing automations and message templates.
- Group Oversight — Manage mailing lists and subscriber segments effectively via chat.
The Cyberimpact 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 Cyberimpact to Pydantic AI via MCP
Follow these steps to integrate the Cyberimpact 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 Cyberimpact with type-safe schemas
Why Use Pydantic AI with the Cyberimpact MCP Server
Pydantic AI provides unique advantages when paired with Cyberimpact 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 Cyberimpact integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Cyberimpact connection logic from agent behavior for testable, maintainable code
Cyberimpact + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Cyberimpact MCP Server delivers measurable value.
Type-safe data pipelines: query Cyberimpact with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Cyberimpact tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Cyberimpact and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Cyberimpact responses and write comprehensive agent tests
Cyberimpact MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Cyberimpact to Pydantic AI via MCP:
add_subscriber
Resolves the newly created subscriber ID. Mutates the subscriber database state. Add a new subscriber to a specific group
get_account_details
Resolves account identifiers and usage metrics. Interacts with the account and billing boundary. Retrieve metadata and limits for your Cyberimpact account
get_campaign_details
Resolves open rates, click rates, and bounce metrics. Interacts with the messaging analytics boundary. Get performance metrics and settings for a specific campaign
get_subscriber_details
Resolves custom fields, interaction history, and group memberships. Touches the granular subscriber profile boundary. Get full profile and history for a specific subscriber
list_email_campaigns
Resolves campaign IDs, titles, and delivery statuses. Touches the campaign management and messaging boundary. List all sent and scheduled email campaigns
list_marketing_automations
Resolves automation IDs and operational statuses. Interacts with the workflow automation engine. List active automated marketing workflows
list_message_templates
Resolves template identifiers and names. Touches the content management boundary. List available email and automation templates
list_subscriber_groups
Resolves group IDs, names, and member counts. Interacts with the audience segmentation boundary. List all mailing lists and groups
list_subscribers
Resolves subscriber IDs, email addresses, and subscription statuses. Interacts with the subscriber database boundary. List all email subscribers in Cyberimpact
search_subscribers_by_email
Resolves matching subscriber profiles. Touches the search and discovery boundary. Search for a subscriber profile by email keyword
Example Prompts for Cyberimpact in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Cyberimpact immediately.
"List all my email subscriber groups."
"Show me the performance metrics for my last sent campaign."
"Search for subscriber 'user@example.com'."
Troubleshooting Cyberimpact MCP Server with Pydantic AI
Common issues when connecting Cyberimpact to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCyberimpact + Pydantic AI FAQ
Common questions about integrating Cyberimpact 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 Cyberimpact 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 Cyberimpact to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.