Pennylane MCP Server for Cursor 13 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"pennylane": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Pennylane into an in-editor superpower. Ask Cursor to generate code using live data from Pennylane and it fetches, processes, and writes. all in a single agentic loop. 13 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Pennylane MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Pennylane
Open Agent mode in chat and ask: "Using Pennylane, help me...". 13 tools available
Why Use Cursor with the Pennylane MCP Server
Cursor AI Code Editor provides unique advantages when paired with Pennylane through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Pennylane + Cursor Use Cases
Practical scenarios where Cursor combined with the Pennylane MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Pennylane MCP Tools for Cursor (13)
These 13 tools become available when you connect Pennylane to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Pennylane to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Pennylane + Cursor FAQ
Common questions about integrating Pennylane MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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 Cursor
Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.
