Bring Accounts Receivable
to Pydantic AI
Create your Vinkius account to connect Invoiced to Pydantic AI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the Invoiced MCP Server?
Empower your AI agents to manage your billing and payments lifecycle with Invoiced. This MCP server allows you to list customers, retrieve invoice details, track payments, and view subscription plans directly through the Invoiced API. Ideal for automating accounts receivable and financial operations.
Built-in capabilities (10)
Returns contact info, balance data, and payment settings. Use for deep intelligence on a customer before billing interactions. Retrieves details for a specific customer
Essential for auditing specific billings or providing customer support. Retrieves details for a specific invoice
Useful for auditing marketing incentives. Lists all active discount coupons
Returns customer names, account numbers, and IDs. Use this as the main starting point for managing receivables or identifying specific clients. Lists all customers in Invoiced
Includes invoice numbers, amounts, and statuses. Essential for monitoring accounts receivable and overall revenue flow. Lists all invoices
Includes item codes, descriptions, and unit prices. Useful for auditing the available billing inventory. Lists all items in your catalog
Returns payment methods, amounts, and transaction IDs. Use this to audit revenue collection and reconcile bank statements. Lists all payments received
g., Monthly SaaS, Annual Support). Useful for auditing subscription-based business models. Lists all defined subscription plans
Essential for monitoring long-term customer commitments and MRR (Monthly Recurring Revenue). Lists all active customer subscriptions
Essential for auditing compliance and understanding how taxes are applied to invoices. Lists all defined tax rates
Why Pydantic AI?
Pydantic AI validates every Invoiced tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Invoiced integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Invoiced connection logic from agent behavior for testable, maintainable code
Invoiced in Pydantic AI
Why run Invoiced with Vinkius?
The Invoiced connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Invoiced using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Invoiced and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Invoiced to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Invoiced for Pydantic AI
Every request between Pydantic AI and Invoiced is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get Invoiced API credentials?
Log in to your Invoiced dashboard, navigate to Settings > Developers > API Keys, and copy your API Key.
Does it support Sandbox mode?
Yes, you can use your Invoiced sandbox API key to test all functionality without moving real money.
Can I see real-time payments?
Yes, the list_payments tool provides access to all payment transactions recorded in your Invoiced account.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Invoiced MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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