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How to Use the Holded MCP in Google ADK

Feed your Holded data directly into Gemini using Google ADK to analyze massive project lists and inventory logs.

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Google ADK

Connect Holded MCP to Google ADK

Create your Vinkius account to connect Holded 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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Analyze project tasks with Google ADK

The `list_all_tasks` and `list_projects` tools dump your entire operational history into Gemini's massive context window. Your Google ADK agent can ingest thousands of task descriptions at once. You do not have to worry about chunking or vectorizing this data. Gemini reads the raw output from the MCP integration and cross-references it with your existing BigQuery datasets to spot delays in project delivery.

Sync billing records to your cloud

Fetching `list_invoices` and `get_invoice_details` allows your agent to pull line-by-line financial data from Holded. The agent reads the exact amounts, dates, and client IDs. Connect this to your Google Cloud infrastructure. You can build an automated pipeline where an agent pulls yesterday's invoices and writes the summaries directly into your enterprise data warehouse.

Control Holded stock levels

The `list_products` and `update_product_stock` tools let your Gemini agent monitor and adjust your warehouse inventory. It reads the current stock and writes back new quantities as needed. Setup requires passing the Vinkius endpoint to `McpToolset` using `StreamableHttpServerParameters`. Once injected into your `LlmAgent`, it handles the HTTP transport automatically. You can filter the exposed MCP Server tools if you only want the agent to read data.

Setup guide

Set up Holded 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 Holded 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="Holded_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Holded 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 Holded. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Holded MCP in Google ADK

Install `google-adk` via pip. Wrap the Vinkius URL in `McpToolset` and pass it to your `LlmAgent` under the tools parameter.
It uses `get_contact_details` to pull specific client profiles. Gemini can then match those profiles against customer records you already store in Vertex AI.
Use the `tool_names` filter in Google ADK. You can restrict the agent to read-only tools like `list_products` and block access to `update_product_stock`.
Yes. You can loop through `list_invoices` to pull hundreds of records. Gemini handles the massive payload without dropping details.
The connection routes through a zero-trust V8 Isolate Sandbox. When your agent requests names and tax IDs from `list_contacts`, the data is processed ephemerally. Vinkius stores zero payload data.

Start using the Holded MCP today

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