How to Use the TOTVS MCP in Google ADK

Q: Can I use Google ADK to manage TOTVS company structures?

Yes. The agent can call listcompanies to fetch all branches and legal entities within the Protheus environment. This allows you to scope your analysis across multiple operational units.

Q: Can I query custom TOTVS records using Google ADK?

You can use the getrmdata tool to pull specific, non-standard records from any RM DataServer. This gives you deep access into customized business logic.

Google ADK: Build enterprise agents acting on TOTVS ERP and BPM tools.

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Connect TOTVS MCP to Google ADK

Create your Vinkius account to connect TOTVS 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 TOTVS with Google ADK

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Access Deep HR Details

You can get detailed employee information using `get_employee_details` or pull a roster with `list_employees`. This is ideal for feeding structured data into BigQuery for advanced analytics. The Google ADK supports long-context reasoning. You're not limited by small prompts; you can analyze complex relationships between multiple records retrieved from the TOTVS MCP Server.

Automate Financial Monitoring

Monitoring accounts payable and receivable is straightforward. Use `list_payments` to see pending invoices or `list_receipts` for incoming funds. This allows your agent to run comprehensive financial checks against enterprise data. When you query specific records, like listing documents via `list_documents`, the output integrates natively with Google Cloud infrastructure, making subsequent analysis seamless.

Manage BPM Workflows in Depth

For workflow control, your agent can list all active processes using `list_processes`. It also handles request status checks via `get_process_request` and advances the state with `move_process_request`. This gives you full process visibility. This MCP Server lets you query system metadata like available services (`get_available_services`) or list all companies (`list_companies`), providing a complete picture of your enterprise scope.

Setup guide

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

You use the workflow tools directly. The agent can list all processes, check individual requests via `get_process_request`, and advance them with `move_process_request`. This keeps your entire process chain within the Gemini ecosystem.

The server touches employee details, financial records (accounts payable/receivable), and BPM processes. Any structured record you need, from a specific document list (`list_documents`) to general RM data, is available.

Yes. The agent can call `list_companies` to fetch all branches and legal entities within the Protheus environment. This allows you to scope your analysis across multiple operational units.

Yes. The architecture is designed for enterprise agents on Google Cloud, which provides robust security and native integration with BigQuery. This keeps your sensitive financial and HR data secure.

You can use the `get_rm_data` tool to pull specific, non-standard records from any RM DataServer. This gives you deep access into customized business logic.

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