How to Use the ProTexting MCP in CrewAI

Run autonomous multi-agent SMS marketing campaigns using CrewAI and the ProTexting MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect ProTexting MCP to CrewAI

Create your Vinkius account to connect ProTexting to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup ProTexting with CrewAI

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Collaborative Contact Cleansing

The `list_contacts` and `delete_contact` tools are shared among specialized agents to maintain your subscriber database. One agent analyzes engagement metrics while another removes inactive numbers. This division of labor keeps your contact lists clean without manual data entry. The agents collaborate in the background, updating your ProTexting database based on shared memory.

Managed Bulk SMS Operations

The `send_bulk` and `create_group` tools allow your CrewAI marketing agent to launch targeted broadcasts autonomously. The planning agent defines the audience, while the execution agent creates the group and sends the messages. A separate supervisor agent monitors the campaign's progress. This ensures that bulk campaigns are only sent after the target group has been verified and approved by the team.

Automated Keyword Monitoring via MCP Server

The `list_keywords` and `get_account` tools provide your research agent with real-time performance data. The agent analyzes which keywords drive the most engagement and adjusts future campaigns accordingly. This continuous feedback loop runs without human intervention. Your crew updates your ProTexting account settings based on actual performance metrics, keeping your marketing strategy optimized.

Setup guide

Set up ProTexting 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 ProTexting tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent ProTexting 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 ProTexting. 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.

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Common questions about ProTexting MCP in CrewAI

You can pass your Vinkius endpoint URL directly into the agent's `mcps` parameter during initialization. This automatically exposes tools like `send_sms` to that specific agent.

Yes. CrewAI agents share access to the MCP Server, allowing one agent to run `list_contacts` while another executes `send_sms` based on the retrieved data.

You can use CrewAI's hierarchical process to require a manager agent's approval before the execution agent calls `send_bulk`. This keeps your sending volume under control.

Yes. CrewAI supports stdio, SSE, and HTTP transports, allowing you to connect to your Vinkius-hosted server using whichever protocol fits your deployment.

Yes, your subscriber data is entirely safe. All recipient phone numbers and message contents are processed within a secure, ephemeral V8 sandbox. Vinkius handles the authentication and ensures your data is never cached or stored.

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