How to Use the Mio MCP in CrewAI

Deploy a CrewAI team to monitor and handle calls across different messaging platforms.

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Connect Mio MCP to CrewAI

Create your Vinkius account to connect Mio 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 Mio with CrewAI

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Assign voice tasks to your CrewAI team

Give your research agent the ability to read history with `list_calls`. The agent can then pass specific IDs to `get_call_transcript` for a deeper dive into the conversation content. This role-based setup ensures that only the moderator agent has the authority to run `terminate_call`. You organize your agents to handle distinct parts of the communication lifecycle.

Get AI summaries with CrewAI

Use `get_call_summary` to have your analysis agent condense long transcripts into actionable notes. This saves time for your human team by highlighting key points from every session. Your agents share this memory across the crew. Once a summary is generated, the action agent decides if a response is needed.

Coordinate voice sessions

Allow your agents to trigger calls using `start_ai_call` when specific criteria are met. The moderator agent verifies the account balance with `get_credit_balance` before starting any new session. This keeps your operations running within budget. If the credit is low, the agent alerts your team instead of initiating the call.

Setup guide

Set up Mio 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 Mio tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Mio server URL directly into your agent's MCP list. You can use tool filtering to limit which agents have access to specific call tools.

Absolutely. One agent can list calls while another fetches the transcript, allowing for a collaborative approach to call analysis.

Yes. You can assign the Mio tools to a manager agent that delegates tasks to specialized workers based on the output of those tools.

You provide a single endpoint token during setup. This token is used by the server to authenticate all tool requests made by your crew.

The server retrieves call metadata and transcript logs. This data is handled in memory and is never written to persistent storage by the server.

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