How to Use the Expensya MCP in Mastra AI
Build resilient, self-healing Expensya expense workflows with Mastra AI's workflow engine.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Expensya MCP to Mastra AI
Create your Vinkius account to connect Expensya to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automated Mastra AI Expense Workflows
`create_new_expense` serves as the foundation for complex, multi-step financial workflows within Mastra AI's MCP integration. You can build an agent that catches receipt uploads, checks active vehicle lists, and files mileage reports automatically. If a step fails, Mastra's built-in workflow engine triggers automatic retries with exponential backoff on your Expensya pipeline. This prevents failed API calls from stalling your corporate accounting pipeline.
Conditional Payment Method Verification
`list_payment_methods` allows your Mastra agent to verify the user's payment type before finalizing any report. The workflow branches automatically based on whether the transaction used a company card or cash. You define these paths in code using Mastra's workflow engine to handle Expensya submissions. If a payment method is missing, the system routes the task to an admin or prompts the user for correction.
Human-in-the-Loop Approval for Large Expenses
`export_expense_data` can be gated behind strict human approval using Mastra's `requireToolApproval` setting. This ensures high-value Expensya reports are reviewed by a manager before they are exported to your accounting system. The Mastra agent gathers the data using `list_expenses`, formats the output, and pauses execution. Once a human clicks approve, the workflow resumes and writes the records to the designated export format.
Set up Expensya MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All Expensya tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "expensya-mcp-client",
servers: {
"expensya-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Expensya Agent",
model: openai("gpt-4o"),
instructions: "You have access to Expensya tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Expensya transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Expensya. 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 Expensya MCP in Mastra AI
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