How to Use the AvoSMS MCP in CrewAI

Q: How do I add AvoSMS tools to a CrewAI agent?

Install crewaitools and pass your Vinkius MCP endpoint URL directly in the agent's mcps list. The agent automatically discovers tools like sendsms and listlists.

Q: How do CrewAI agents handle incoming customer replies from AvoSMS?

A dedicated support agent can run listresponses to fetch incoming texts. It then passes the messages to an analysis agent to draft replies or escalate issues.

Coordinate teams of specialized agents to run automated SMS campaigns using CrewAI and the AvoSMS MCP Server.

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Connect AvoSMS MCP to CrewAI

Create your Vinkius account to connect AvoSMS 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 AvoSMS with CrewAI

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Perplexity

Autonomous CrewAI agent coordination

Running automated campaigns begins with a planner agent running `get_balance` and `send_sms` to coordinate bulk dispatches. The agents work together in a structured pipeline using the MCP tools to prevent double-sending. A writer agent drafts the promotional copy while a manager agent verifies delivery status. This division of labor keeps your operations moving without human bottlenecks.

Cooperative audience segmentation

Organizing your audience requires specialized agents to run `create_list` and `add_contact` to segment leads dynamically. A moderator agent monitors opt-outs and calls `delete_list` when a campaign finishes. The crew handles the entire lifecycle of your subscriber data. You never have to copy-paste numbers between spreadsheets again.

Proactive sender reputation management

Managing outbound sender IDs requires your crew to track active numbers with `list_senders` and request new ones via `create_sender`. The agent team automatically retires old IDs with `delete_sender` to protect your sender score. Your automated agents handle the paperwork and verification steps. This keeps your delivery pipelines running at peak performance.

Setup guide

Set up AvoSMS 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 AvoSMS tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Install `crewai[tools]` and pass your Vinkius MCP endpoint URL directly in the agent's `mcps` list. The agent automatically discovers tools like `send_sms` and `list_lists`.

Yes. You can instruct your financial or planning agent to call `get_balance` and halt the crew if credits fall below a specific threshold.

A dedicated support agent can run `list_responses` to fetch incoming texts. It then passes the messages to an analysis agent to draft replies or escalate issues.

CrewAI supports stdio, SSE, and Streamable HTTP. You can configure `MCPServerHTTP` to connect securely to your hosted Vinkius endpoint.

Yes. Your sender IDs and contact databases remain protected. Vinkius uses a zero-trust architecture with zero persistent storage, ensuring recipient details are cleared immediately after transmission.

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