LawPay MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Invoice, Create Refund, Get Account, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect LawPay 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 LawPay app connector for Pydantic AI is a standout in the Money Moves 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
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 LawPay "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in LawPay?"
)
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 LawPay MCP Server
Connect your LawPay account to any AI agent and manage legal payments through natural conversation.
Pydantic AI validates every LawPay 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
- Transaction Management — Browse payments, refunds, and charges with status tracking
- Invoice Tracking — List invoices with amounts, due dates, and payment status
- Trust Accounts — Monitor trust (IOLTA) account balances and transactions
- Payment Processing — Create charges and process payments
- Financial Reports — Access revenue summaries, payment trends, and aging reports
- Client Billing — Track client payment history and outstanding balances
The LawPay 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 LawPay tools available for Pydantic AI
When Pydantic AI connects to LawPay through Vinkius, your AI agent gets direct access to every tool listed below — spanning legal-payments, iolta-compliance, trust-accounting, 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 invoice
Refund a transaction
Get account details
Get merchant profile info
Get payment statistics
Get payment method details
Get transaction details
). List merchant accounts
List payment invoices
List saved payment methods
List bank settlements
List all payment transactions
Connect LawPay to Pydantic AI via MCP
Follow these steps to wire LawPay 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 LawPay MCP Server
Pydantic AI provides unique advantages when paired with LawPay 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 LawPay integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your LawPay connection logic from agent behavior for testable, maintainable code
LawPay + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the LawPay MCP Server delivers measurable value.
Type-safe data pipelines: query LawPay with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple LawPay tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query LawPay and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock LawPay responses and write comprehensive agent tests
Example Prompts for LawPay in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with LawPay immediately.
"Show payment summary for this month and trust account balances."
"Show outstanding invoices and the aging report."
"List recent transactions for Matter #1045 and create a charge."
Troubleshooting LawPay MCP Server with Pydantic AI
Common issues when connecting LawPay to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiLawPay + Pydantic AI FAQ
Common questions about integrating LawPay 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.