How to Use the FreeClimb MCP in Google ADK

Q: How do I configure FreeClimb with Google ADK?

Install google-adk via pip. Initialize a McpToolset using StreamableHttpServerParameters with your Vinkius URL. Pass it to the tools list in your LlmAgent.

Q: Can Google ADK filter the FreeClimb tools it exposes?

Yes. Use the toolnames filter on the toolset. You can restrict the agent to just sendsms and block access to makecall entirely.

Connect FreeClimb to Google ADK for enterprise telecom workflows.

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Connect FreeClimb MCP to Google ADK

Create your Vinkius account to connect FreeClimb 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 FreeClimb with Google ADK

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Perplexity

Text messaging for Google ADK

Gemini models hold massive context windows. When you connect this MCP Server, your Google ADK agent cross-references millions of rows in BigQuery before using `send_sms` to text a customer. The agent knows their entire purchase history. Delivery confirmation matters. The agent calls `list_sms_messages` to check what went out, then pulls specifics with `get_sms_details`. You get a clear log of interactions tied directly to your Google Cloud infrastructure.

Voice operations via Vertex AI

Enterprise support requires actual phone calls. Your agent triggers `make_call` to dial users based on predictive models running in Vertex. It bypasses manual queues entirely. You manage the resulting traffic using `list_calls` and `get_call_details`. If you are running multiple support lines, `list_conferences` shows the agent exactly how many active bridges are currently open.

Telecom provisioning inside MCP

Your agent needs local numbers to increase answer rates. It searches inventory using `list_buyable_numbers` and reviews your current stock with `list_my_numbers`. API costs add up quickly when Gemini starts automating thousands of interactions. The agent checks `get_account_status` to monitor your FreeClimb balance. It also reviews active webhooks using `list_applications` and `get_application_details` to ensure routing works.

Setup guide

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

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Common questions about FreeClimb MCP in Google ADK

Install `google-adk` via pip. Initialize a `McpToolset` using `StreamableHttpServerParameters` with your Vinkius URL. Pass it to the `tools` list in your `LlmAgent`.

Yes. Use the `tool_names` filter on the toolset. You can restrict the agent to just `send_sms` and block access to `make_call` entirely.

The agent ingests massive datasets from BigQuery and uses that context to personalize outbound texts. It then calls `make_call` or `send_sms` with highly specific payloads.

It supports both Stdio and HTTP transports. For remote execution on Vinkius, you will use the HTTP configuration.

Only your authenticated endpoints. The system handles raw phone numbers and text message bodies. Authentication requires a single endpoint token, and the ephemeral sandbox drops all memory of the interaction the second the connection closes.

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