How to Use the Telebroad MCP in CrewAI

Q: What data types are exposed from Telebroad to CrewAI?

The server exposes account details via getprofile, along with directory information like internal extensions using listphonedestinations. You'll also get access to the actual message content (SMS and fax) for context.

Q: What data privacy considerations exist when running CrewAI with Telebroad?

This MCP Server touches user profiles and call/SMS history logs. You control which tools your agents expose, ensuring that only the necessary data types are available for specific tasks.

Automate Communications. Let your CrewAI agents manage all calling, texting, and faxing sequences independently.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Telebroad MCP to CrewAI

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

GDPR Included with Plan

Setup Telebroad with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Monitor Active Calls via MCP Server

Your specialized agents can check real-time operational status using `list_active_calls`. This lets the monitoring agent verify if a connection is live, or if it needs to be terminated early. If a call must end prematurely, the system supports explicit termination through the `hangup_call` tool. Knowing these endpoints gives your CrewAI workflows precise control over ongoing communications.

Initiate and Manage Messaging Flows

Agents can trigger immediate communication by sending a voice call using `send_call`, or dispatching a text message via `send_sms`. This lets your crew autonomously reach contacts based on role-specific protocols. Furthermore, the workflow supports managing SMS history. You retrieve past messages from a conversation using `get_sms_messages` and track all available threads with `list_sms_conversations`.

Identify Contacts and Directory Information

Before any communication, your agents must know who they're talking to. They can fetch current account data using `get_profile`, or check internal routing options by calling `list_phone_destinations`. This ensures the right specialist agent contacts the correct department. For physical document transfer, the MCP Server also gives access to faxing capabilities, allowing agents to send documents directly via `send_fax` and retrieve records using `list_faxes`.

Setup guide

Set up Telebroad 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 Telebroad tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Connect Telebroad now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Telebroad MCP in CrewAI

Your crew can orchestrate calls step-by-step. Agents use the MCP Server's `send_call` tool to initiate contact, and then other agents can monitor the state using `list_active_calls`. This allows you to build truly autonomous communication pipelines.

Yes. The MCP Server provides multiple logging tools. You can check full history via `list_call_history`, or examine specific text threads by calling `get_sms_messages` and listing conversations with `list_sms_conversations`.

The server exposes account details via `get_profile`, along with directory information like internal extensions using `list_phone_destinations`. You'll also get access to the actual message content (SMS and fax) for context.

The system lets your agents monitor communication status. If a call fails, they can check logs using `list_call_history` or use the `get_profile` tool to confirm if account details need updating before retrying.

This MCP Server touches **user profiles** and call/SMS history logs. You control which tools your agents expose, ensuring that only the necessary data types are available for specific tasks.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript