How to Use the Legal Fees Apportionment Engine MCP in OpenAI Agents SDK
Run safe, multi-agent legal payout splits with the Legal Fees Apportionment Engine using the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Legal Fees Apportionment Engine MCP to OpenAI Agents SDK
Create your Vinkius account to connect Legal Fees Apportionment Engine to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Execute exact splits with the Legal Fees Apportionment Engine
The `apportion_legal_fees` tool calculates the exact distribution of judicial awards and attorney fees among co-defendants or plaintiffs. It prevents rounding errors by running a zero-loss ledger that balances to the penny before returning any values to your agent system. Your OpenAI Agents SDK client uses this tool to process multi-party settlements. The OpenAI dashboard traces every step of the calculation, giving you a full audit trail of the math behind the settlement distribution.
Secure multi-agent handoffs for billing calculations
The `apportion_legal_fees` tool handles the complex math of contingency fee deductions. By passing this tool to specialized agents in your OpenAI Agents SDK, you can isolate the financial calculations from the drafting agents. Built-in guardrails validate the inputs before execution. One agent calculates the split, while a supervisor agent checks the output against court orders, protecting your system from bad math.
Cache tool definitions to speed up OpenAI Agents SDK
The `apportion_legal_fees` tool exposes its schema directly to your agent system via this MCP Server. By setting `cacheToolsList=True` in your OpenAI Agents SDK configuration, you avoid fetching tool definitions on every single run. This reduces latency during real-time settlement negotiations. Your agent instantly knows how to format the award amounts and party percentages, resulting in faster execution.
Set up Legal Fees Apportionment Engine MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Legal Fees Apportionment Engine tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Legal Fees Apportionment Engine tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Legal Fees Apportionment Engine tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Legal Fees Apportionment Engine Agent",
instructions="You have access to Legal Fees Apportionment Engine tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Native V8. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Legal Fees Apportionment Engine MCP in OpenAI Agents SDK
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