How to Use the Firebase (REST & Admin APIs) MCP in Google ADK

Q: Can I filter which tools Firebase (REST & Admin APIs) exposes to Google ADK?

Yes. You can use the toolnames filter to explicitly whitelist only the operations your agent needs, keeping the interface clean and secure.

Bridge your Google ADK agents to Firebase (REST & Admin APIs) for enterprise data orchestration.

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Connect Firebase (REST & Admin APIs) MCP to Google ADK

Create your Vinkius account to connect Firebase (REST & Admin APIs) 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 Firebase (REST & Admin APIs) with Google ADK

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Firestore operations for Google ADK

Execute `firestore_list_docs` or `firestore_delete_doc` to manage your document store directly from your Gemini-powered agents. This fits perfectly into enterprise pipelines already using Google Cloud infrastructure. Your agent reads and writes data with the precision of a raw REST call, bypassing the heavy overhead of standard client libraries.

Realtime Database access with Google ADK

Use `rtdb_push` and `rtdb_get` to interact with your transient state. It works seamlessly with your existing BigQuery data flows by allowing your agents to update UI state in real-time. This approach gives your agents the flexibility to handle high-frequency data changes without latency bottlenecks.

Auth and FCM integration in Google ADK

Control user access via `auth_sign_up` and keep your users informed using `fcm_send_message`. Your agent acts as the bridge between your cloud backend and your end-users. It provides a direct path for your automated systems to verify identity and push critical updates without manual intervention.

Setup guide

Set up Firebase (REST & Admin APIs) 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 Firebase (REST & Admin APIs) 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="Firebase (REST & Admin APIs)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Firebase (REST & Admin APIs) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Firebase (REST & Admin APIs) MCP in Google ADK

Import the McpToolset and pass your server URL to the StreamableHttpServerParameters. Once configured, you can add this toolset to your LlmAgent to start executing commands.

Yes. You can use the tool_names filter to explicitly whitelist only the operations your agent needs, keeping the interface clean and secure.

The server supports both HTTP and Stdio transports. Choose the one that matches your specific deployment architecture within your Google Cloud environment.

The server provides raw data access, which works perfectly with the long-context capabilities of Gemini models. Your agent can digest large datasets fetched via these tools.

Your project data, including Auth identities and Firestore document contents, remains isolated. Vinkius manages the secure handshake so your agent only sees what you explicitly allow.

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