Can the AI perform destructive actions like making a real payment or deleting invoices?

No. The integration focuses strongly on extraction via READ endpoints (e.g. `list_payments`, `list_budgets`, `list_expense_claims`). It is designed to act as an advanced analytical viewing lens allowing you to query, organize, and monitor financial positions without executing operational mutations like transferring money.

How can the AI help me understand a specific expense claim?

You can provide the Expense ID from your `list_expense_claims` search and ask natural questions. The AI will pull the structured data and explain explicitly who submitted the reimbursement, the exact amount, the associated spending currency, and the current processing status, formatting it all into an easily digestible summary.

How deep is the Spendesk token scoped? Is it secure?

The integration is secure. Your Vinkius Agent runs strictly client-side on your PC. It queries the API using the explicit Bearer Token you manage. Spendesk's token access capabilities can also be carefully constrained natively from your Organization's Integration Settings to further enforce least privilege.

Spendesk MCP Server for Google ADK 9 tools — connect in under 2 minutes

Name: Spendesk
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Spendesk as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="spendesk_agent",
    instruction=(
        "You help users interact with Spendesk "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Spendesk MCP Server

Bring your Spendesk financial operations natively into your AI workspace. Eliminate constant tab switching to check the finance dashboard. You can now use conversational prompts to audit real-time company expenses, verify specific payment IDs, and inspect active supplier invoices while writing your integration code or managing operational scripts.

Google ADK natively supports Spendesk as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Track Cash Flow — Monitor organizational outflows by executing list_payments. Need deep details on a specific transaction? Pull exactly what happened using get_payment_details
Audit Invoices & Expenses — Keep track of pending vendor bills via list_invoices and review employee out-of-pocket reimbursements triggering list_expense_claims
Supplier Management — Check your registered vendor matrix using list_suppliers and pull contact or payment history directly calling get_supplier_details
Control Limits — Actively supervise remaining budget allocations calling list_budgets and watch the assigned corporate limits on issued plastic/virtual via list_cards

The Spendesk MCP Server exposes 9 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Spendesk to Google ADK via MCP

Follow these steps to integrate the Spendesk MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 9 tools from Spendesk via MCP

Why Use Google ADK with the Spendesk MCP Server

Google ADK provides unique advantages when paired with Spendesk through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Spendesk

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Spendesk tools with BigQuery, Vertex AI, and Cloud Functions

Spendesk + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Spendesk MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Spendesk and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Spendesk tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Spendesk regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Spendesk

Spendesk MCP Tools for Google ADK (9)

These 9 tools become available when you connect Spendesk to Google ADK via MCP:

get_payment_details

Get detailed information about a specific payment

get_supplier_details

Get detailed information about a specific supplier

list_budgets

List all budgets and their spending status

list_cards

List all virtual and physical cards issued

list_expense_claims

List all employee expense claims and reimbursement requests

list_invoices

List all invoices pending or processed

list_members

List all team members with Spendesk access

list_payments

List all payments in the Spendesk account

list_suppliers

List all registered suppliers

Example Prompts for Spendesk in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Spendesk immediately.

"Review Spendesk and show me all recent payments hitting our account."

"Bring a quick summary containing our currently monitored budgets to check for remaining allocated thresholds."

"Let's check our member list in Spendesk to see who holds what permission roles currently."

Troubleshooting Spendesk MCP Server with Google ADK

Common issues when connecting Spendesk to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Spendesk + Google ADK FAQ

Common questions about integrating Spendesk MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.