Novu MCP Server for CrewAIGive CrewAI instant access to 39 tools to Bulk Update Subscriber Preferences, Cancel Trigger, Check Topic Subscriber, and more

Name: Novu
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Novu through Vinkius, pass the Edge URL in the `mcps` parameter and every Novu tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Novu MCP Server for CrewAI is a standout in the Developer Tools category — giving your AI agent 39 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Novu Specialist",
    goal="Help users interact with Novu effectively",
    backstory=(
        "You are an expert at leveraging Novu tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Novu "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 39 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Novu MCP Server

Connect your Novu account to any AI agent and take full control of your notification infrastructure through natural conversation.

When paired with CrewAI, Novu becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Novu tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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

Bulk update subscriber preferences on Novu

Bulk update subscriber preferences

cancel

Cancel trigger on Novu

Cancel active or pending workflows (e.g., digests, delays)

check

Check topic subscriber on Novu

Check if a subscriber is subscribed to a topic

create

Create environment variable on Novu

Create an environment variable

create

Create integration on Novu

Create a new integration

create

Create layout on Novu

Create a new layout

create

Create subscriber on Novu

Create a new subscriber

create

Create topic on Novu

Create a new topic

create

Create topic subscriptions on Novu

Create subscriptions for a topic

create

Create workflow on Novu

Create a new workflow

delete

Delete integration on Novu

Delete an integration

delete

Delete message on Novu

Delete a message

delete

Delete messages by transaction on Novu

Delete messages by transaction ID

delete

Delete subscriber on Novu

Delete a subscriber

delete

Delete subscriber credentials on Novu

Delete subscriber credentials

delete

Delete topic on Novu

Delete a topic

delete

Delete topic subscriptions on Novu

Delete subscriptions from a topic

get

Get environment variable usage on Novu

Retrieve usage of an environment variable

get

Get subscriber on Novu

Retrieve a subscriber by ID

get

Get subscriber preferences on Novu

Retrieve subscriber preferences

get

Get topic on Novu

Retrieve a topic by key

get

Get topic subscription on Novu

Retrieve a topic subscription

list

List active integrations on Novu

List active integrations

list

List environment variables on Novu

List all environment variables

list

List integrations on Novu

List all integrations

list

List messages on Novu

List messages

list

List topic subscriptions on Novu

List subscriptions for a topic

Search subscribers on Novu

Search for subscribers

set

Set primary integration on Novu

Set an integration as primary

trigger

Trigger broadcast on Novu

Send a notification to all existing subscribers

trigger

Trigger bulk event on Novu

Trigger multiple events in a single request

trigger

Trigger event on Novu

Trigger a notification to one or more subscribers

update

Update environment variable on Novu

Update an environment variable

update

Update integration on Novu

Update an integration

update

Update subscriber on Novu

Update an existing subscriber

update

Update subscriber credentials on Novu

Update subscriber credentials

update

Update subscriber preference on Novu

Update a subscriber preference

update

Update topic on Novu

Update a topic

upsert

Upsert subscriber credentials on Novu

Upsert subscriber credentials

Connect Novu to CrewAI via MCP

Follow these steps to wire Novu into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 39 tools from Novu

Why Use CrewAI with the Novu MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Novu through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Novu + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Novu MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Novu for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Novu, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Novu tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Novu against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Novu in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Novu to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Novu + CrewAI FAQ

Common questions about integrating Novu MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.