How to Use the Dripcel MCP in CrewAI

Q: How do I assign specific Dripcel tools to different CrewAI agents?

You use the toolfilter option with the MCP Server to expose only necessary tools to each agent. For example, give your support agent sendwhatsappmessage and your auditor agent quickinstancehealthaudit.

Q: How does CrewAI handle connection failures during a Dripcel health audit?

If quickinstancehealthaudit fails or returns an error, the executing agent uses its shared memory to alert the rest of the crew. The crew then pauses tasks to avoid API errors.

Q: Is my WhatsApp contact list data safe when processed by CrewAI?

Yes, the contact names and phone numbers retrieved via listinstancecontacts are processed entirely in memory. No contact data is written to disk or shared outside your local execution environment.

Deploy a team of specialized CrewAI agents to manage, audit, and scale your Dripcel WhatsApp instances autonomously.

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Connect Dripcel MCP to CrewAI

Create your Vinkius account to connect Dripcel 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.

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Setup Dripcel with CrewAI

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Perplexity

Multi-agent WhatsApp queue management

One agent shouldn't do everything. With CrewAI, you can have a Support Agent analyze incoming chats via `list_whatsapp_messages` while an Auditor Agent monitors connection health. The MCP agents share memory and pass tasks sequentially. When the Auditor Agent notices a drop, it alerts the Support Agent to pause outgoing queues until the instance is restored.

Autonomous contact profiling using CrewAI

Let your agents build a clean directory without manual data entry. A Researcher Agent can use `search_instance_contacts` to find specific leads and update their details. Meanwhile, a Coordinator Agent uses `list_instance_contacts` to make sure no duplicate records exist. The entire operation runs in the background without human intervention.

Automated template validation

Sending the wrong template can get your WhatsApp account suspended. This MCP Server lets your CrewAI agents verify templates before hitting send. A specialized Quality Agent calls `list_whatsapp_templates` to verify that the message format matches your approved templates exactly. Only verified messages are passed to `send_whatsapp_message`.

Setup guide

Set up Dripcel MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Dripcel tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Dripcel Analyst",
    goal="Access and analyze Dripcel data via MCP.",
    backstory="Expert analyst with direct Dripcel access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Dripcel transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Dripcel Analyst",
        goal="Access and analyze Dripcel data via MCP.",
        backstory="Expert analyst with direct Dripcel access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Dripcel transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dripcel. 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 Dripcel MCP in CrewAI

You use the `tool_filter` option with the MCP Server to expose only necessary tools to each agent. For example, give your support agent `send_whatsapp_message` and your auditor agent `quick_instance_health_audit`.

Yes, you can set up a polling task where an agent regularly calls `list_whatsapp_messages` to check for new incoming texts. The agent can then delegate follow-up tasks to other crew members.

If `quick_instance_health_audit` fails or returns an error, the executing agent uses its shared memory to alert the rest of the crew. The crew then pauses tasks to avoid API errors.

CrewAI supports stdio, SSE, and Streamable HTTP transports. You can pass the connection URL directly into the agent's configuration for a fast setup.

Yes, the contact names and phone numbers retrieved via `list_instance_contacts` are processed entirely in memory. No contact data is written to disk or shared outside your local execution environment.

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