Alegra MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Create Contact, Create Invoice, Get Company Info, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Alegra through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Alegra app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Alegra "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Alegra?"
)
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 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.
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.
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.
The Alegra MCP Server exposes 11 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.
All 11 Alegra tools available for Pydantic AI
When Pydantic AI connects to Alegra through Vinkius, your AI agent gets direct access to every tool listed below — spanning billing-software, inventory-management, invoicing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
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
Connect Alegra to Pydantic AI via MCP
Follow these steps to wire Alegra into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Alegra MCP Server
Pydantic AI provides unique advantages when paired with Alegra 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 Alegra integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Alegra connection logic from agent behavior for testable, maintainable code
Alegra + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Alegra MCP Server delivers measurable value.
Type-safe data pipelines: query Alegra with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Alegra tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Alegra and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Alegra responses and write comprehensive agent tests
Example Prompts for Alegra in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Alegra immediately.
"List all active invoices in my Alegra account."
"Show me the details for contact 'John Doe' (ID: 10293)."
"What is the stock level for 'Professional Desk'?"
Troubleshooting Alegra MCP Server with Pydantic AI
Common issues when connecting Alegra to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAlegra + Pydantic AI FAQ
Common questions about integrating Alegra 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.