How to Use the MiiTel MCP in Google ADK

Q: Can I limit which MiiTel tools the Google ADK can access?

Yes, you can use the toolnames filter in your Google ADK configuration to expose only specific MiiTel tools like listcalls or getcalldetails. This prevents your agent from accessing sensitive user lists or CRM contacts.

Q: How does Google ADK handle Gemini's long context with MiiTel?

The Google ADK feeds raw data from listonlinemeetings directly into Gemini's context window. This allows the model to analyze hours of MiiTel meeting metadata at once, finding patterns that shorter-context models miss.

Q: How is my MiiTel contact data protected in Google ADK?

Your CRM contacts fetched via listsyncedcontacts remain within your Google Cloud project boundary. The Google ADK uses enterprise-grade IAM controls to ensure that MiiTel call logs and user identities are never exposed to public networks.

Feed deep call analytics into Gemini's 1M-token context window using the Google ADK and MiiTel.

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Connect MiiTel MCP to Google ADK

Create your Vinkius account to connect MiiTel to Google ADK 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 MiiTel with Google ADK

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Map massive call logs in Gemini using this MCP Server

The `list_calls` tool feeds complete MiiTel historical logs directly into your Google ADK agent. Because Gemini supports massive context windows, your Google ADK agent can process months of MiiTel records in a single run to spot long-term performance trends. You can then use `get_call_details` on flagged MiiTel records to extract granular sentiment scores. This lets your Google ADK agent run deep comparative analysis across thousands of conversations without hitting context limits.

Cross-reference CRM contacts with BigQuery

The `list_synced_contacts` tool retrieves your MiiTel CRM contact records and maps them to your local database using Google ADK. This allows your agent to join MiiTel phone interaction history with your enterprise tables in BigQuery. By combining this data with `list_miitel_users`, your Google ADK agent can automatically identify which sales reps are closing the most high-value leads. The Google ADK makes it easy to run these multi-source analytical pipelines on Google Cloud.

Analyze online meetings at enterprise scale

The `list_online_meetings` tool extracts your team's video conference history from MiiTel directly into your Google ADK pipeline. Your agent can scan MiiTel meeting metadata to ensure reps are following compliance guidelines during remote demos. When a MiiTel meeting requires a deeper look, `get_meeting_details` pulls the full transcript and sentiment breakdown. The Google ADK handles the connection to the MiiTel API over this MCP interface, allowing your Gemini models to reason over the entire conversation.

Setup guide

Set up MiiTel MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with MiiTel tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="MiiTel_agent",
    model="gemini-2.0-flash",
    instruction="You have access to MiiTel tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MiiTel. 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 MiiTel MCP in Google ADK

Initialize McpToolset with StreamableHttpServerParameters pointing to your Vinkius endpoint. Pass this toolset into your Google ADK LlmAgent constructor to expose the MiiTel call and meeting tools to Gemini.

Yes, you can use the tool_names filter in your Google ADK configuration to expose only specific MiiTel tools like list_calls or get_call_details. This prevents your agent from accessing sensitive user lists or CRM contacts.

The Google ADK feeds raw data from list_online_meetings directly into Gemini's context window. This allows the model to analyze hours of MiiTel meeting metadata at once, finding patterns that shorter-context models miss.

You can write a Google ADK agent that pulls call history via list_calls using this MCP configuration and writes it directly to BigQuery. This lets you build permanent enterprise dashboards showing MiiTel call sentiment trends over time.

Your CRM contacts fetched via list_synced_contacts remain within your Google Cloud project boundary. The Google ADK uses enterprise-grade IAM controls to ensure that MiiTel call logs and user identities are never exposed to public networks.

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