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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.

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Works with every AI agent you already use

…and any MCP-compatible client

PreciseFP MCP on Cursor AI Code Editor MCP Client PreciseFP MCP on Claude Desktop App MCP Integration PreciseFP MCP on OpenAI Agents SDK MCP Compatible PreciseFP MCP on Visual Studio Code MCP Extension Client PreciseFP MCP on GitHub Copilot AI Agent MCP Integration PreciseFP MCP on Google Gemini AI MCP Integration PreciseFP MCP on Lovable AI Development MCP Client PreciseFP MCP on Mistral AI Agents MCP Compatible PreciseFP MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Google ADK

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.

GDPR Included with Plan

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.

Setup guide

Set up PreciseFP 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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.

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="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.

Why Choose Vinkius

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Real-time monitoring

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Built-in savings

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Single dashboard

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Common questions about PreciseFP MCP in Google ADK

Your agent simply calls the `list_accounts` tool. Google ADK handles the API call, so your agent's logic just needs to process the returned list of client accounts.
Yes, it's a two-step process for the agent. First, it calls `list_form_templates` to find the correct form. Then, it uses that template's ID to call `create_form_engagement` for a specific person.
The integration is through the agent. Your Google ADK agent can query BigQuery for a list of prospects, then iterate through them to call `create_person` in PreciseFP for each one.
The Google ADK `McpToolset` constructor accepts a `tool_names` filter. You can provide a list of read-only tools like `get_account` and `list_persons` to prevent the agent from using tools like `create_person`.
Your `form_engagement` details are only passed through Vinkius's zero-trust infrastructure during the API call. The connection is authenticated via a single endpoint token, and the compute environment that runs the tool is destroyed immediately after use.

Start using the PreciseFP MCP today

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