How do I find my Hiveage API Key?

Log in to your Hiveage account, go to **Settings > API**, and you will find your unique API key there. This key is used as the username for Basic Authentication.

What is the Hiveage 'Subdomain'?

The subdomain is the unique part of your Hiveage URL (e.g., if you access Hiveage at `mycompany.hiveage.com`, your subdomain is `mycompany`).

Can I record a partial payment for an invoice?

Yes! When using the `record_payment` tool, you can specify any amount in the `body_json`. Hiveage will automatically update the invoice balance based on the recorded payment.

Is the integration secure for financial data?

Absolutely. The integration uses official Hiveage API keys over HTTPS. Your credentials and billing data are encrypted and stored securely within the Vinkius Cloud infrastructure.

Hiveage MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Hiveage
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Hiveage through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Hiveage "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Hiveage?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Hiveage MCP Server

Connect your Hiveage account to any AI agent and take full control of your online invoicing, estimates, and customer network through natural conversation.

Pydantic AI validates every Hiveage tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

Invoicing Oversight — List all invoices, retrieve detailed billing data using unique hash keys, and monitor payment status.
Estimate Management — Access your quotations and estimates history to stay on top of pending deals.
Payment Recording — Manually record payments against invoices directly from the chat interface.
Customer Network — List and inspect connections (customers/vendors) in your business network.
Document Delivery — Send invoices to your customers via email with a single command.
Tax & Item Visibility — List saved billing items and tax profiles to ensure accurate invoicing.

The Hiveage MCP Server exposes 12 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 Hiveage to Pydantic AI via MCP

Follow these steps to integrate the Hiveage 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 12 tools from Hiveage with type-safe schemas

Why Use Pydantic AI with the Hiveage MCP Server

Pydantic AI provides unique advantages when paired with Hiveage 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 Hiveage integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Hiveage connection logic from agent behavior for testable, maintainable code

Hiveage + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Hiveage MCP Server delivers measurable value.

Type-safe data pipelines: query Hiveage with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Hiveage tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Hiveage and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Hiveage responses and write comprehensive agent tests

Hiveage MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Hiveage to Pydantic AI via MCP:

get_api_profile

Retrieve information about the authenticated account

get_customer_details

Get detailed profile information for a network connection

get_estimate_details

Get detailed information about a specific estimate

get_invoice_details

Get detailed information about a specific invoice

list_billing_items

List saved items and services used for invoicing

list_customers

List all connections (customers/vendors) in your network

list_estimates

List all estimates (quotations) in Hiveage

list_invoice_payments

List all payments recorded for a specific invoice

list_invoices

Use this to monitor billing and find hash keys for specific invoice actions. List all invoices in your Hiveage account

list_tax_profiles

List all configured tax profiles

record_payment

Pass details as a JSON string in "body_json" (requires amount, date, and payment_method). Record a manual payment against an invoice

send_invoice_email

Deliver an invoice to the customer via email

Example Prompts for Hiveage in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Hiveage immediately.

"List all unpaid invoices and their total amounts."

"Record a cash payment of $500 for invoice hash 'kiLDAgtGzNpaAQ'."

"Show me the details for the estimate with key 'ests_992'."

Troubleshooting Hiveage MCP Server with Pydantic AI

Common issues when connecting Hiveage to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Hiveage + Pydantic AI FAQ

Common questions about integrating Hiveage MCP Server with Pydantic AI.

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 Hiveage MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.