How to Use the PreciseFP MCP in Google ADK
Connect Google ADK to your PreciseFP data. Build enterprise agents that link your BigQuery insights to real-world client onboarding.
Works with every AI agent you already use
…and any MCP-compatible client
Connect PreciseFP MCP to Google ADK
Create your Vinkius account to connect PreciseFP to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Trigger Onboarding from Google Cloud
Let your Gemini-powered agent react to events in your Google Cloud ecosystem. For example, when a new lead appears in BigQuery, the agent can automatically use `create_person` and `create_form_engagement` in PreciseFP. This connects your data warehouse directly to your client intake process. You're not just running queries; you're turning those query results into actions.
Pull PreciseFP Data for Analysis
Your agent can fetch client information on demand. It can use `list_accounts` to get a roster of clients or dive deep into one account's history with `get_account_activity`. Because you're in the Google ecosystem, your agent can then feed this data directly into a Vertex AI pipeline for analysis. The long-context window of Gemini models helps it reason over large amounts of retrieved data.
Manage Forms with your Google ADK Agent
This MCP Server gives your agent full control over PreciseFP forms. It can browse all available intake forms with `list_form_templates` or even pull compliance-ready PDFs using `get_pdf_template`. Setting it up is straightforward. You wrap the server URL in an `McpToolset` and pass it to your `LlmAgent`. You can even filter which tools are exposed if you need to restrict the agent's capabilities.
Set up PreciseFP 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 PreciseFP 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="PreciseFP_agent",
model="gemini-2.0-flash",
instruction="You have access to PreciseFP 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 PreciseFP. 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 PreciseFP MCP in Google ADK
Use it with your favorite AI tools
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