How to Use the Bland AI MCP in Google ADK

Q: Can I filter tools when using Bland AI with Google ADK?

You can use a toolnames filter in your toolset configuration. This limits the agent to only the specific phone tools you want it to use.

Connect your Google ADK agents to phone networks and voice analytics.

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Connect Bland AI MCP to Google ADK

Create your Vinkius account to connect Bland AI 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 Bland AI with Google ADK

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Google ADK integration for phone automation

Use `list_phone_numbers` to check your available lines. Your Google ADK agent selects the right number to initiate outbound outreach. Triggering a call is a single tool call. `send_phone_call` starts the conversation while your agent stays in control of the logic.

Access voice personas using this MCP Server

Query your current agents with `list_voice_agents`. It gives you a clear list of every persona you have active in the system. Need to change how an agent sounds? `list_available_voices` shows you the high-fidelity options ready for your next deployment.

Refine agent behavior through call transcripts

Grab the transcript for any interaction with `get_call_details`. Your agent then parses this data to update its internal knowledge base. Use `analyze_call_transcript` to distill long conversations into key action items. It makes your Google ADK agent smarter with every call.

Setup guide

Set up Bland AI 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 Bland AI 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="Bland AI_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bland AI tools via MCP.",
    tools=mcp_tools,
)

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Why Choose Vinkius

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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 Bland AI MCP in Google ADK

You pass the Vinkius server URL to the McpToolset. Your agent then gains the ability to dial numbers and read transcripts.

Yes, you can feed entire call histories into your Gemini models. The server provides the tools to pull that data efficiently.

You can use a tool_names filter in your toolset configuration. This limits the agent to only the specific phone tools you want it to use.

The server returns JSON data directly to your agent. You decide whether to pipe that into BigQuery or keep it in memory.

Vinkius ensures your voice recordings and transcripts stay ephemeral. We clear the sandbox after every request to maintain strict privacy.

Use it with your favorite AI tools

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

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