LawPay MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Invoice, Create Refund, Get Account, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add LawPay as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The LawPay app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to LawPay. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in LawPay?"
)
print(response)
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.
LlamaIndex agents combine LawPay tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire LawPay into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the LawPay MCP Server
LlamaIndex provides unique advantages when paired with LawPay through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine LawPay tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain LawPay tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query LawPay, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what LawPay tools were called, what data was returned, and how it influenced the final answer
LawPay + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the LawPay MCP Server delivers measurable value.
Hybrid search: combine LawPay real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query LawPay to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying LawPay for fresh data
Analytical workflows: chain LawPay queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for LawPay in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting LawPay to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLawPay + LlamaIndex FAQ
Common questions about integrating LawPay MCP Server with LlamaIndex.