Novu MCP Server for Pydantic AIGive Pydantic AI instant access to 39 tools to Bulk Update Subscriber Preferences, Cancel Trigger, Check Topic Subscriber, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Novu 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 for Pydantic AI
The Novu MCP Server for Pydantic AI is a standout in the Developer Tools category — giving your AI agent 39 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 Novu "
"(39 tools)."
),
)
result = await agent.run(
"What tools are available in Novu?"
)
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 Novu MCP Server
Connect your Novu account to any AI agent and take full control of your notification infrastructure through natural conversation.
Pydantic AI validates every Novu tool response against typed schemas, catching data inconsistencies at build time. Connect 39 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
- Triggering & Events — Trigger single, bulk, or broadcast notifications across Email, SMS, Push, and Chat using workflow identifiers.
- Subscriber Management — Create, retrieve, update, and search for subscribers to maintain an up-to-date communication database.
- Preference Controls — Inspect and update subscriber-specific notification preferences to ensure compliance and user satisfaction.
- Workflow Cancellation — Cancel active or pending workflows, such as digests or delayed notifications, using transaction IDs.
- Tenant Context — Manage notifications within specific tenant contexts for multi-tenant applications.
The Novu MCP Server exposes 39 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 39 Novu tools available for Pydantic AI
When Pydantic AI connects to Novu through Vinkius, your AI agent gets direct access to every tool listed below — spanning notification-infrastructure, multi-channel, subscriber-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Bulk update subscriber preferences on Novu
Bulk update subscriber preferences
Cancel trigger on Novu
Cancel active or pending workflows (e.g., digests, delays)
Check topic subscriber on Novu
Check if a subscriber is subscribed to a topic
Create environment variable on Novu
Create an environment variable
Create integration on Novu
Create a new integration
Create layout on Novu
Create a new layout
Create subscriber on Novu
Create a new subscriber
Create topic on Novu
Create a new topic
Create topic subscriptions on Novu
Create subscriptions for a topic
Create workflow on Novu
Create a new workflow
Delete integration on Novu
Delete an integration
Delete message on Novu
Delete a message
Delete messages by transaction on Novu
Delete messages by transaction ID
Delete subscriber on Novu
Delete a subscriber
Delete subscriber credentials on Novu
Delete subscriber credentials
Delete topic on Novu
Delete a topic
Delete topic subscriptions on Novu
Delete subscriptions from a topic
Get environment variable usage on Novu
Retrieve usage of an environment variable
Get subscriber on Novu
Retrieve a subscriber by ID
Get subscriber preferences on Novu
Retrieve subscriber preferences
Get topic on Novu
Retrieve a topic by key
Get topic subscription on Novu
Retrieve a topic subscription
List active integrations on Novu
List active integrations
List environment variables on Novu
List all environment variables
List integrations on Novu
List all integrations
List messages on Novu
List messages
List topic subscriptions on Novu
List subscriptions for a topic
Search subscribers on Novu
Search for subscribers
Set primary integration on Novu
Set an integration as primary
Trigger broadcast on Novu
Send a notification to all existing subscribers
Trigger bulk event on Novu
Trigger multiple events in a single request
Trigger event on Novu
Trigger a notification to one or more subscribers
Update environment variable on Novu
Update an environment variable
Update integration on Novu
Update an integration
Update subscriber on Novu
Update an existing subscriber
Update subscriber credentials on Novu
Update subscriber credentials
Update subscriber preference on Novu
Update a subscriber preference
Update topic on Novu
Update a topic
Upsert subscriber credentials on Novu
Upsert subscriber credentials
Connect Novu to Pydantic AI via MCP
Follow these steps to wire Novu into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind 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 Novu MCP Server
Pydantic AI provides unique advantages when paired with Novu 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 Novu integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Novu connection logic from agent behavior for testable, maintainable code
Novu + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Novu MCP Server delivers measurable value.
Type-safe data pipelines: query Novu with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Novu tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Novu and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Novu responses and write comprehensive agent tests
Example Prompts for Novu in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Novu immediately.
"Trigger the 'welcome-onboarding' workflow for subscriber 'user_99' with the payload { "name": "Alice" }."
"Search for a subscriber with the email 'support@example.com'."
"Cancel the notification trigger with transaction ID 'tx_abc123'."
Troubleshooting Novu MCP Server with Pydantic AI
Common issues when connecting Novu to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiNovu + Pydantic AI FAQ
Common questions about integrating Novu 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?
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