How to Use the Gupshup Messaging MCP in CrewAI

Q: How do I configure CrewAI agents to use the Gupshup Messaging MCP Server?

Pass your Vinkius HTTP endpoint URL directly into the mcps array when defining your CrewAI agents. The framework automatically discovers the six WhatsApp tools and assigns them based on agent roles.

Q: How do CrewAI agents coordinate media and reactions using Gupshup Messaging?

One agent can send a PDF using sendmediamessage, while another agent monitors the session and uses sendreaction to acknowledge user replies. They share state to keep the conversation coherent.

Deploy a multi-agent crew using CrewAI to automate WhatsApp support and marketing via Gupshup Messaging.

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Connect Gupshup Messaging MCP to CrewAI

Create your Vinkius account to connect Gupshup Messaging 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 Gupshup Messaging with CrewAI

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Coordinate multi-agent WhatsApp responses with CrewAI

This Gupshup Messaging MCP Server exposes `get_template_info` and `send_template_message` to allow your CrewAI team to divide and conquer customer communication. A researcher agent can use the metadata tool to find the right pre-approved notification, while a writer agent prepares the parameters for dispatch. Because CrewAI supports shared memory, the agents remember previous customer interactions. This prevents sending duplicate alerts and ensures the message tone matches the user's history.

Automate interactive WhatsApp menus via an MCP Server

The `send_interactive_message` tool gives your autonomous agents the power to guide users through structured menus. A support agent can analyze a customer's query and instantly send up to three quick-reply buttons to narrow down the issue. This happens entirely without human intervention. Your crew monitors incoming messages, determines the next logical step, and triggers the Gupshup API to keep the conversation moving.

Execute rich media follow-ups and reactions autonomously

The `send_media_message` and `send_reaction` tools let your agents build highly engaging chat experiences. A delivery agent can send a PDF invoice, while a feedback agent reacts with a thumbs-up emoji once the customer confirms receipt. By passing these tasks to specialized crew members, you avoid bottlenecking your main application logic. Each agent operates independently, executing their specific tool when their role requires it.

Setup guide

Set up Gupshup Messaging 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 Gupshup Messaging tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Gupshup Messaging 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="Gupshup Messaging Analyst",
        goal="Access and analyze Gupshup Messaging data via MCP.",
        backstory="Expert analyst with direct Gupshup Messaging access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Gupshup Messaging 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 Gupshup. 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 Gupshup Messaging MCP in CrewAI

Pass your Vinkius HTTP endpoint URL directly into the `mcps` array when defining your CrewAI agents. The framework automatically discovers the six WhatsApp tools and assigns them based on agent roles.

Yes, your agent's decision logic determines whether to call `send_text_message` for active chats or `send_template_message` for outbound notifications outside the 24-hour window.

One agent can send a PDF using `send_media_message`, while another agent monitors the session and uses `send_reaction` to acknowledge user replies. They share state to keep the conversation coherent.

Yes, you can set up a sequential crew where the first agent validates customer data and the second agent triggers the Gupshup tools to send the message.

All WhatsApp message payloads and phone numbers are processed in secure, ephemeral V8 isolates. No data is written to persistent storage, ensuring zero-trust security for your customer communications.

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