How to Use the Texter MCP in CrewAI

Q: How does Texter work with crewai for automated outreach?

You assign agents specific tools, like sendtextermessage. The 'Action' agent uses this tool to run the drip campaign after other specialized agents have completed their data gathering tasks.

Q: What is the best way to list all relevant chats using Texter with crewai?

The 'Coordinator Agent' can use listtexterchats to get a full roster. It then passes these IDs to other agents for deeper context checks.

Q: How does crewai handle complex message types with Texter?

The framework supports specialized tools like sendtextertemplate, allowing agents to send structured messages (WhatsApp/Messenger) rather than just plain SMS text.

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Setup Texter with CrewAI

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Perplexity

Coordinated Multi-Agent Messaging

The `send_texter_message` tool lets the 'Action Agent' execute messages after research from the 'Research Agent'. The agents collaborate: one gathers lead data, and another sends the follow-up text. The framework manages this sequential or hierarchical execution reliably.

Role-Based Chat Monitoring

A dedicated 'Monitor Agent' can call `list_texter_chats` to watch for new conversations. If a chat is detected, it flags the conversation ID for the 'Analysis Agent' to take over. This builds autonomous monitoring systems that require zero human oversight.

Full Communication Lifecycle Management

The crew can handle the entire lifecycle: first, listing channels with `list_texter_channels`; second, getting details with `get_texter_chat_details`; and finally, resolving it with `resolve_texter_chat` when the goal is met. It's all autonomous operation within a defined workflow.

Setup guide

Set up Texter 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 Texter tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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

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

You assign agents specific tools, like `send_texter_message`. The 'Action' agent uses this tool to run the drip campaign after other specialized agents have completed their data gathering tasks.

The 'Coordinator Agent' can use `list_texter_chats` to get a full roster. It then passes these IDs to other agents for deeper context checks.

This server touches text messages (SMS/WhatsApp content), chat IDs, and user labels. The shared memory feature of CrewAI requires careful management of PII when multiple agents access these details.

Yes. After the 'Research Agent' gathers data, another agent can call `add_label_to_texter_chat` using a predefined label list from `list_texter_labels`.

The framework supports specialized tools like `send_texter_template`, allowing agents to send structured messages (WhatsApp/Messenger) rather than just plain SMS text.

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