How to Use the Courier MCP in CrewAI
Give your CrewAI agents a voice. Add a Communications Specialist to your team to send alerts and report on message delivery via MCP.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Courier MCP to CrewAI
Create your Vinkius account to connect Courier 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.
Designate a Communications Agent
Don't give every agent the keys to your notification system. Add this MCP server to a single agent in your crew and give it the role of "Communications Specialist." Now, other agents can delegate notification tasks to it, keeping roles clean and focused. For example, your "Data Analyst Agent" can finish a report and then simply task the Comms Agent to `send_notification` to the stakeholders. The specialist handles the entire interaction with Courier, so your other agents don't have to.
Build a Crew That Watches and Alerts
This is where multi-agent systems shine. Pair a monitoring agent with your new communications agent. When your "Sentry Agent" detects an API outage, it tasks the "Comms Agent" to look up the on-call engineer with `get_user_profile`. Then, the Comms Agent uses `send_notification` to send a high-priority alert to their phone via SMS. Your CrewAI team can now handle incident response from detection to notification, all by itself. This is what an autonomous MCP Server workflow is supposed to look like.
Collaborative, Automated Reporting
Task a "Reporting Agent" to analyze notification effectiveness. This agent can ask the "Comms Agent" to run `list_messages` for a specific campaign or timeframe, filtering by status. The crew collaborates on the results. The Comms Agent acts as the data source, fetching raw delivery and open statuses from Courier. The Reporting Agent then takes that data, summarizes it into a clean report, and tasks the Comms Agent to send it to the marketing team.
Set up Courier 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 Courier tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Courier Analyst",
goal="Access and analyze Courier data via MCP.",
backstory="Expert analyst with direct Courier access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Courier 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="Courier Analyst",
goal="Access and analyze Courier data via MCP.",
backstory="Expert analyst with direct Courier access.",
tools=mcp_tools,
)
task = Task(
description="List recent Courier 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 Courier. 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 Courier MCP in CrewAI
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