How to Use the Google Firestore Collection MCP in Google ADK
Give your Google ADK enterprise agents direct access to Firestore documents in seconds.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Google Firestore Collection MCP to Google ADK
Create your Vinkius account to connect Google Firestore Collection 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.
Direct document reads for Gemini agents
This MCP server exposes `get_document` to let your Gemini-powered agents fetch NoSQL records on demand. You don't need to write boilerplate API calls or handle complex Google Cloud authentication in your code. Your agent reads the document and uses the data directly in its reasoning loop. This works perfectly with Gemini's long-context window, letting the agent analyze large document payloads easily.
Real-time updates via this Firestore MCP Server
This MCP Server enables your agents to modify or create records instantly using `set_document`. When your agent finishes a task, it writes the result directly to your Firestore collection. This makes it easy to sync agent decisions with your existing Google Cloud infrastructure. Your BigQuery pipelines can ingest these updates immediately without extra glue code.
Targeted record purging
The `delete_document` tool on this MCP server gives your agent the ability to remove specific documents when they are no longer relevant. This keeps your collections clean and prevents your NoSQL database from bloating with temporary agent data. You can restrict this tool using the ADK's native tool filters if you want to prevent accidental deletions. The agent only invokes it when explicit conditions are met.
Set up Google Firestore Collection MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Google Firestore Collection tools in your ADK agent.
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="Google Firestore Collection_agent",
model="gemini-2.0-flash",
instruction="You have access to Google Firestore Collection tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Firestore Collection. 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 Google Firestore Collection MCP in Google ADK
Use it with your favorite AI tools
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