How to Use the Everbridge Critical Management MCP in CrewAI
Deploy a crew of specialized CrewAI agents to monitor critical incidents and coordinate team alerts autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Everbridge Critical Management MCP to CrewAI
Create your Vinkius account to connect Everbridge Critical Management to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Coordinate incident response with specialized CrewAI agents
The `list_critical_incidents` tool serves as the primary data source for your monitoring agent. In a CrewAI setup, this agent continuously polls for active events and hands off the details to a communications agent. The communications agent then takes over, using the shared memory space to coordinate which distribution lists need to be notified. This sequential execution mimics a live incident response team.
Track notification delivery status across agent teams
The `get_notification_detailed_status` tool allows your tracking agent to monitor the reach of sent alerts. If the agent notices low acknowledgment rates, it can escalate the priority and alert on-call managers. By using this MCP Server, the crew can autonomously decide when to pivot to secondary communication methods. This keeps your escalation process running without human intervention.
Generate automated incident post-mortems
The `get_incident_detailed_data` tool retrieves the complete timeline and settings of closed events. A specialized writer agent can ingest this raw timeline to compile a draft post-mortem report. You can deploy this MCP Server on Vinkius with a single endpoint token. The CrewAI framework handles the multi-agent execution, pulling data securely to generate accurate crisis summaries.
Set up Everbridge Critical Management MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Everbridge Critical Management tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Everbridge Critical Management Analyst",
goal="Access and analyze Everbridge Critical Management data via MCP.",
backstory="Expert analyst with direct Everbridge Critical Management access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Everbridge Critical Management transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Everbridge Critical Management Analyst",
goal="Access and analyze Everbridge Critical Management data via MCP.",
backstory="Expert analyst with direct Everbridge Critical Management access.",
tools=mcp_tools,
)
task = Task(
description="List recent Everbridge Critical Management transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Everbridge Critical Management. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Everbridge Critical Management MCP in CrewAI
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