How to Use the CallFire MCP in Google ADK

Q: How do I initialize CallFire in Google ADK?

Pass the Vinkius URL to StreamableHttpServerParameters. The framework wraps it into an MCP toolset for your agent.

Q: Can Google ADK agents read CallFire text messages?

They use listtexts and gettext to pull communication logs. Gemini handles the parsing automatically.

Q: How does Gemini handle large CallFire call lists?

The massive token window easily absorbs the output from listcalls. Your agent reasons over the entire dataset at once.

Feed CallFire communication logs directly into Google ADK agents for deep Gemini analysis.

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Connect CallFire MCP to Google ADK

Create your Vinkius account to connect CallFire 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 CallFire with Google ADK

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Analyze Call Logs with Google ADK

Enterprise agents on Google Cloud thrive on massive context windows. You pass the `McpToolset` to your LlmAgent, instantly exposing your entire communication history via this MCP Server. Gemini models ingest thousands of records from `list_calls` at once. Your agent cross-references these outreach logs against existing BigQuery customer datasets.

Track Broadcast Campaigns

Monitoring bulk text operations requires pulling exact delivery metrics. The agent executes `list_campaigns` to find active voice broadcasts and SMS blasts. Drilling down into specific outreach efforts uses `get_campaign`. It reads the exact configuration and performance numbers without leaving the Vertex AI environment.

Audit CallFire MCP Server Messages

Troubleshooting failed deliveries means inspecting the raw text payloads. Developers configure the agent to run `list_texts` and filter for specific error codes. Grabbing individual message details with `get_text` feeds the exact timestamp back to the LLM. You know exactly what went out to the numbers from `list_contacts`.

Setup guide

Set up CallFire 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 CallFire 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="CallFire_agent",
    model="gemini-2.0-flash",
    instruction="You have access to CallFire 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 CallFire. 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 CallFire MCP in Google ADK

Pass the Vinkius URL to `StreamableHttpServerParameters`. The framework wraps it into an MCP toolset for your agent.

They use `list_texts` and `get_text` to pull communication logs. Gemini handles the parsing automatically.

The massive token window easily absorbs the output from `list_calls`. Your agent reasons over the entire dataset at once.

No, Vinkius manages the authentication layer. You just need your single endpoint token to connect.

Campaign metrics and caller IDs process inside an ephemeral zero-trust sandbox. The MCP Server drops all memory the second your agent finishes its task.

Use it with your favorite AI tools

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

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