How to Use the Pennylane MCP in Mastra AI

Q: How do I register the Pennylane MCP Server in Mastra AI?

You instantiate MCPClient with your Vinkius HTTP endpoint. Then, pass the registered tools directly into your Mastra agent configuration so it can query your French accounting ledger.

Q: Can Mastra AI handle human approval steps for Pennylane MCP tools?

Yes, you set requireToolApproval to true in your Mastra configuration. This pauses the workflow when the agent tries to run createcustomer, waiting for your team to verify the tax details before execution.

Run automated French accounting workflows and retries using Mastra AI connected to Pennylane.

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Connect Pennylane MCP to Mastra AI

Create your Vinkius account to connect Pennylane to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Pennylane with Mastra AI

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Automated Supplier Invoice Audits

`list_supplier_invoices` pulls your latest French business expenses directly into a Mastra AI workflow loop. The agent evaluates each line item against your ledger rules, flagging discrepancies without human intervention. If a supplier record is missing, your Mastra AI workflow fires `get_supplier_details` to check their tax registration. This MCP Server handles API hiccups with built-in exponential backoff, ensuring your accounting pipeline never stalls.

Multi-Step Ledger Syncing with Mastra AI

`list_categories` maps your French chart of accounts directly to incoming invoices inside a Mastra agent pipeline. The framework's conditional branching routes transactions based on tax codes, ensuring strict compliance with local regulations. When a match is found, `create_product` updates your catalog with the correct accounting code. This keeps your inventory synchronized with your ledger automatically, using Mastra's native error-recovery features.

Human-in-the-Loop Invoice Approvals

`get_customer_invoice_details` extracts the tax line items for high-value transactions before final validation. Using Mastra AI, you can pause the workflow and require human approval before writing any data back to the ledger. Once approved, the workflow resumes and calls `create_customer` to finalize the billing profile. This guarantees that your Pennylane records remain audit-proof while automating the tedious data-entry steps.

Setup guide

Set up Pennylane MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. 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's tools object. All Pennylane tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "pennylane-mcp-client",
  servers: {
    "pennylane-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Pennylane Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Pennylane tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Pennylane transactions"
);
console.log(result.text);

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 Pennylane. 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 Pennylane MCP in Mastra AI

You instantiate `MCPClient` with your Vinkius HTTP endpoint. Then, pass the registered tools directly into your Mastra agent configuration so it can query your French accounting ledger.

Yes, Mastra AI has a built-in workflow engine that automatically retries the `create_product` tool if the API rate limit is reached. It uses exponential backoff to ensure your product catalog updates successfully.

Yes, you set `requireToolApproval` to true in your Mastra configuration. This pauses the workflow when the agent tries to run `create_customer`, waiting for your team to verify the tax details before execution.

Mastra AI automatically detects the MCP transport protocol, allowing you to connect via SSE or Streamable HTTP. This ensures low-latency execution when fetching invoice lists from Pennylane.

Your supplier details, tax records, and invoice lists are processed within a zero-trust V8 sandbox. Mastra AI executes calls locally or via secure endpoints, ensuring that sensitive French financial data is never exposed to external logs.

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