How to Use the 360dialog MCP in CrewAI
Deploy autonomous CrewAI agents that manage WhatsApp campaigns and monitor 360dialog delivery metrics in real-time.
Works with every AI agent you already use
…and any MCP-compatible client
Connect 360dialog MCP to CrewAI
Create your Vinkius account to connect 360dialog 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.
Assign dedicated agents for WhatsApp template management
Managing dozens of approved message formats across different languages gets messy fast. You want a specialized agent handling the catalog while your outreach agents focus entirely on sending. Give your formatting agent access to `list_templates` and `get_template`. This agent monitors the available layouts and writes the exact required variables into shared memory. Your execution agents then read that memory and fire `send_template_message` without guessing the formatting rules.
Build an autonomous media delivery pipeline
Sending documents and images at scale requires staging the files before dispatch. A single script trying to do everything sequentially will bottleneck your operations. Split the workload across your CrewAI team. Have a preparation agent run `upload_media` to get the assets onto the platform. A separate dispatcher agent immediately grabs the returned details via `get_media` and pushes the final payload using `send_media_message`.
Monitor MCP Server health and contact validity
Autonomous systems need self-healing capabilities. If the messaging API goes down, your agents shouldn't blindly keep trying to push notifications. Create a supervisor agent that runs `check_360dialog_status` on a schedule. If it detects an outage, it pauses the outreach crew. You can also equip a validation agent with `check_contacts` to scrub the target list before the campaign even starts.
Set up 360dialog 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 360dialog tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="360dialog Analyst",
goal="Access and analyze 360dialog data via MCP.",
backstory="Expert analyst with direct 360dialog access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent 360dialog 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="360dialog Analyst",
goal="Access and analyze 360dialog data via MCP.",
backstory="Expert analyst with direct 360dialog access.",
tools=mcp_tools,
)
task = Task(
description="List recent 360dialog 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 360dialog. 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 360dialog MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the 360dialog MCP today
We host it, we monitor it, we maintain it. You just paste one token.