Pennylane MCP Server for Mastra AI 13 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pennylane through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"pennylane": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Pennylane Agent",
instructions:
"You help users interact with Pennylane " +
"using 13 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Pennylane?"
);
console.log(result.text);
}
main();
* 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 Pennylane MCP Server
Equip intelligent LLM instances with robust access traversing the Pennylane Accounting API. Programmatically instantiate global CRM states (customers/suppliers), evaluate bounded sales configurations mapping formal invoices, cross-check estimates gracefully, and execute catalog updates explicitly within structural French accounting compliance.
Mastra's agent abstraction provides a clean separation between LLM logic and Pennylane tool infrastructure. Connect 13 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Client & Vendor Management — Discover active network bounds testing logic reading registered structures handling explicit CRM instances securely
- Invoice Abstraction — Execute pure checks isolating boundaries that load explicit arrays of emitted estimates, vendor invoices, or direct accounts receivable operations
- Catalog Maintenance — Generate creation boundaries passing formal structures natively instantiating
create_productlogic seamlessly globally - Financial Topology — List accounting category structures tracing pure parameters driving correct semantic allocations natively
The Pennylane MCP Server exposes 13 tools through the Vinkius. Connect it to Mastra AI 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 Pennylane to Mastra AI via MCP
Follow these steps to integrate the Pennylane MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 13 tools from Pennylane via MCP
Why Use Mastra AI with the Pennylane MCP Server
Mastra AI provides unique advantages when paired with Pennylane through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Pennylane without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Pennylane tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Pennylane + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Pennylane MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Pennylane, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Pennylane as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Pennylane on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Pennylane tools alongside other MCP servers
Pennylane MCP Tools for Mastra AI (13)
These 13 tools become available when you connect Pennylane to Mastra AI via MCP:
create_customer
Créer un nouveau client dans Pennylane
create_product
Créer un nouveau produit ou service dans le catalogue comptable
get_customer_details
Consulter les détails complets d'un client
get_customer_invoice_details
Consulter les détails d'une facture client (lignes, TVA, montants HT/TTC)
get_estimate_details
Consulter les détails d'un devis (lignes, TVA, validité)
get_supplier_details
Consulter les détails d'un fournisseur
list_categories
Lister les catégories comptables (plan comptable)
list_customer_invoices
Lister toutes les factures clients émises
list_customers
Lister tous les clients enregistrés dans Pennylane
list_estimates
Lister tous les devis émis
list_products
Lister tous les produits et services du catalogue
list_supplier_invoices
Lister toutes les factures fournisseurs (achats)
list_suppliers
Lister tous les fournisseurs
Example Prompts for Pennylane in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Pennylane immediately.
"Trace explicitly the active vendor/supplier lists returning limits logically fetched from the target server."
"Execute checking bounds strictly creating a new native CRM product called 'Design Consulting' logically priced at 120.00 EUR (VAT 20)."
"Read explicit parameter loops parsing detailed lines bounding Invoice ID 'inv_1092'."
Troubleshooting Pennylane MCP Server with Mastra AI
Common issues when connecting Pennylane to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPennylane + Mastra AI FAQ
Common questions about integrating Pennylane MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Pennylane with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Pennylane to Mastra AI
Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.