Invoiced MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Invoiced through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Invoiced "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Invoiced?"
)
print(result.data)
asyncio.run(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 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.
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.
The Invoiced MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic 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 Invoiced to Pydantic AI via MCP
Follow these steps to integrate the Invoiced MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Invoiced with type-safe schemas
Why Use Pydantic AI with the Invoiced MCP Server
Pydantic AI provides unique advantages when paired with Invoiced through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Invoiced integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Invoiced connection logic from agent behavior for testable, maintainable code
Invoiced + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Invoiced MCP Server delivers measurable value.
Type-safe data pipelines: query Invoiced with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Invoiced tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Invoiced and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Invoiced responses and write comprehensive agent tests
Invoiced MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Invoiced to Pydantic AI via MCP:
get_customer
Returns contact info, balance data, and payment settings. Use for deep intelligence on a customer before billing interactions. Retrieves details for a specific customer
get_invoice
Essential for auditing specific billings or providing customer support. Retrieves details for a specific invoice
list_coupons
Useful for auditing marketing incentives. Lists all active discount coupons
list_customers
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
list_invoices
Includes invoice numbers, amounts, and statuses. Essential for monitoring accounts receivable and overall revenue flow. Lists all invoices
list_items
Includes item codes, descriptions, and unit prices. Useful for auditing the available billing inventory. Lists all items in your catalog
list_payments
Returns payment methods, amounts, and transaction IDs. Use this to audit revenue collection and reconcile bank statements. Lists all payments received
list_plans
g., Monthly SaaS, Annual Support). Useful for auditing subscription-based business models. Lists all defined subscription plans
list_subscriptions
Essential for monitoring long-term customer commitments and MRR (Monthly Recurring Revenue). Lists all active customer subscriptions
list_tax_rates
Essential for auditing compliance and understanding how taxes are applied to invoices. Lists all defined tax rates
Example Prompts for Invoiced in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Invoiced immediately.
"List all active customers in Invoiced."
"Show me the last 5 invoices generated."
"Check the status of invoice number 'INV-789'."
Troubleshooting Invoiced MCP Server with Pydantic AI
Common issues when connecting Invoiced to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiInvoiced + Pydantic AI FAQ
Common questions about integrating Invoiced MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Invoiced 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 Invoiced to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.