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Expensya MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create New Expense, Export Expense Data, Get Authenticated User Profile, and more

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Expensya 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 Expensya app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Expensya "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
Expensya
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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 Expensya MCP Server

Connect your Expensya account to any AI agent and take full control of your business spending and automated expense reporting through natural conversation.

Pydantic AI validates every Expensya 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

  • Expense Orchestration — List and manage all business expenses programmatically, including retrieving detailed metadata and creating new entries with comments
  • Report Oversight — Monitor the status of expense reports (Draft, Pending Approval) and access project allocations for high-fidelity financial tracking
  • Organizational Visibility — Retrieve complete directories of users, categories, and payment methods to coordinate team-wide spending policies
  • Logistics Intelligence — List and manage vehicles for mileage tracking and monitor supported currencies for international business operations
  • Financial Export — Programmatically trigger exports of expense data using predefined Export IDs for seamless integration with your accounting tools

The Expensya 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.

All 12 Expensya tools available for Pydantic AI

When Pydantic AI connects to Expensya through Vinkius, your AI agent gets direct access to every tool listed below — spanning receipt-scanning, reimbursement, policy-enforcement, 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_new_expense

Requires amount, currency, and category. Add a new expense record

export_expense_data

Export expenses to a specific format

get_authenticated_user_profile

Get current user profile

list_analytical_projects

List projects for tracking

list_expense_categories

g., Meals, Travel). List active expense categories

list_expense_reports

List expense reports (folders)

list_expense_tags

List active tags

list_expenses

Supports filtering by date, user, and status. List all business expenses

list_expensya_users

List users in the organization

list_mileage_vehicles

List vehicles for mileage tracking

list_payment_methods

g., Cash, Company Card) configured. List defined payment methods

list_supported_currencies

List all supported currencies

Connect Expensya to Pydantic AI via MCP

Follow these steps to wire Expensya into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Expensya with type-safe schemas

Why Use Pydantic AI with the Expensya MCP Server

Pydantic AI provides unique advantages when paired with Expensya through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Expensya integration code

03

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

04

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

Expensya + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Expensya in Pydantic AI

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

01

"List all my expenses from the last week."

02

"Create a new expense: €12.50 for 'Office Supplies' with comment 'New notebook'."

03

"Show me the status of my pending expense reports."

Troubleshooting Expensya MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Expensya + Pydantic AI FAQ

Common questions about integrating Expensya MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Expensya MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.