How to Use the Evoliz MCP in Google ADK

Q: How do I set up Evoliz with Google ADK?

Install google-adk using pip. Initialize an McpToolset with your HTTP server parameters and pass it to your LlmAgent.

Q: Can I restrict which Evoliz tools my Google ADK agent uses?

Yes. You apply a toolnames filter when setting up the toolset. This prevents the agent from calling tools you want to keep off-limits.

Q: Does the Evoliz MCP Server work with Gemini's long context?

Yes. You pull massive arrays of data using listinvoices or listquotes and dump them straight into Gemini. The model handles the 1M+ token context easily.

Q: How do I create a new customer via the agent?

The agent calls the createclient tool. It formats the required name and type parameters before sending the POST request to the API.

Connect this Evoliz MCP Server to Google ADK to let your Gemini agents analyze French invoices alongside your BigQuery datasets.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Evoliz MCP to Google ADK

Create your Vinkius account to connect Evoliz 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.

GDPR Free for Subscribers

Setup Evoliz with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Retrieve Enterprise Billing Records

The `get_invoice` and `get_quote` tools fetch specific financial records from your Evoliz account. Your Gemini agent uses the document ID to pull the exact invoice or quote into its massive context window. This means you dump hundreds of billing records into the agent's memory at once. It reads the data, cross-references it with your Google Cloud infrastructure, and answers complex accounting questions without losing track of the details.

Sync Catalogs via Google ADK

The `list_articles` and `get_article` tools expose your products and services to your enterprise agents. The agent paginates through the catalog or grabs a specific item's pricing data on demand. You configure this by passing the `McpToolset` to your `LlmAgent`. If you only want the agent to read products and not touch invoices, you apply a `tool_names` filter to restrict access.

Manage French Client Profiles

The `list_clients` and `get_client` tools allow your agent to read customer directories, while `create_client` lets it write new entries. The agent formats the required fields like name and type automatically. Connecting this MCP Server takes just a few lines of Python. You initialize `StreamableHttpServerParameters` with your endpoint URL and the agent is ready to execute accounting tasks.

Setup guide

Set up Evoliz 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 Evoliz 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="Evoliz_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Evoliz tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Evoliz. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Evoliz now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

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 Evoliz MCP in Google ADK

Install `google-adk` using pip. Initialize an `McpToolset` with your HTTP server parameters and pass it to your `LlmAgent`.

Yes. You apply a `tool_names` filter when setting up the toolset. This prevents the agent from calling tools you want to keep off-limits.

Yes. You pull massive arrays of data using `list_invoices` or `list_quotes` and dump them straight into Gemini. The model handles the 1M+ token context easily.

The agent calls the `create_client` tool. It formats the required name and type parameters before sending the POST request to the API.

The connection requires only a single endpoint token to authenticate. Vinkius processes your client lists and article catalogs in a stateless, ephemeral sandbox that retains zero memory of your transaction.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript