Bring Billing Software
to Pydantic AI
Learn how to connect Alegra to Pydantic AI and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Alegra MCP Server?
Connect your Alegra account to any AI agent and simplify how you manage your professional billing, customer directory, and inventory through natural conversation.
What you can do
- Billing Management — Create, list, and inspect sales invoices with detailed status tracking (open, paid, overdue).
- Customer & Supplier CRM — Manage your contacts, update profile data, and check individual transaction histories.
- Inventory Control — Query your product and service catalog to monitor stock levels and pricing metadata.
- Financial Oversight — Monitor received payments and track sales estimates/quotes sent to potential clients.
- Organization Insights — Retrieve company metadata and verify account configurations directly from the agent.
- Operational Monitoring — Check connectivity and manage your commercial ecosystem without leaving your workspace.
How it works
1. Subscribe to this server
2. Enter your Alegra Email and API Token (found in your account settings)
3. Start managing your business finances from Claude, Cursor, or any MCP client
Who is this for?
- Small Business Owners — quickly create invoices and check client balances via simple AI commands.
- Finance & Admin Teams — monitor payments and manage the contact directory directly from the workspace.
- Operations Managers — track inventory levels and verify service availability via the AI assistant.
Built-in capabilities (11)
Create a new contact in Alegra
Create a new sales invoice
Get Alegra company information
Get details of a specific contact
Get details of a specific invoice
Get details of an inventory item
List Alegra contacts (clients and suppliers)
List estimates/quotes
List products and services
List sales invoices in Alegra
List recorded payments
Why Pydantic AI?
Pydantic AI validates every Alegra tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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 Alegra 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 Alegra connection logic from agent behavior for testable, maintainable code
Alegra in Pydantic AI
Alegra and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Alegra to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Alegra in Pydantic AI
The Alegra 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Alegra for Pydantic AI
Every tool call from Pydantic AI to the Alegra MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check the stock level of an item via AI?
Yes! Use the get_item_details tool and provide the Item ID. Your agent will retrieve the complete metadata, including current stock levels for that product.
How do I create a new invoice for a client?
Use the create_invoice action. You'll need to provide the Contact ID, date, due date, and a JSON string of items to register the new sale in Alegra.
Is it possible to list all my recent payments?
Absolutely. Use the list_payments query. The agent will retrieve a list of all recorded income payments received in your 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 Alegra MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai