How to Use the Mitto MCP in CrewAI
Deploy a crew of autonomous agents to manage your entire Mitto messaging lifecycle from research to delivery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mitto MCP to CrewAI
Create your Vinkius account to connect Mitto 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.
Autonomous SMS operations with CrewAI
Assign a dedicated agent to monitor messaging health using `get_sms_usage_by_country`. When volume spikes occur, the agent alerts the team or adjusts settings. This creates a self-healing loop. Your crew keeps the messaging infrastructure running while you focus on high-level strategy.
Multi-agent 2FA orchestration in CrewAI
Divide tasks among agents where one handles `send_2fa` and another performs `verify_2fa`. They share memory to ensure the auth flow is consistent. If one agent detects a pattern of failed attempts, it triggers a security check. It is built for environments where downtime is not an option.
Bulk SMS management for CrewAI
Utilize `send_bulk_sms` to execute large-scale campaigns managed by your agents. They handle the queuing and report back with conversion metrics. Use `track_sms_conversion` to feed data back into the crew's memory. The next batch of messages will be optimized based on the previous results.
Set up Mitto 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 Mitto tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Mitto Analyst",
goal="Access and analyze Mitto data via MCP.",
backstory="Expert analyst with direct Mitto access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Mitto 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="Mitto Analyst",
goal="Access and analyze Mitto data via MCP.",
backstory="Expert analyst with direct Mitto access.",
tools=mcp_tools,
)
task = Task(
description="List recent Mitto 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 Mitto. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Mitto MCP in CrewAI
Use it with your favorite AI tools
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