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How to Use the Attorney Fees Calculator MCP in LangChain

Build LangChain agents that calculate and compare legal fees. Chain multiple billing models to model complex scenarios.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on LangChain

Connect Attorney Fees Calculator MCP to LangChain

Create your Vinkius account to connect Attorney Fees Calculator to LangChain — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Key Capabilities

Calculate Costs for Any Size Legal Team

This MCP gives your agent tools to model costs for different team structures. You can calculate the total bill for a single lawyer using `hourly`, factoring in their specific rate and hours. For bigger cases, switch to the `team` tool. Your LangChain agent can aggregate costs across multiple attorneys and paralegals to get a complete picture of the burn rate. It's a simple way to scale your cost analysis from one person to the entire firm.

Model Different Billing Agreements

Not all legal work is billed by the hour. Your agent can use the `flat_fee` tool to get fixed prices for common services, like drafting a standard contract. This is perfect for predictable, scoped projects. For litigation or other outcome-based work, there's the `contingency` tool. Your agent can calculate the attorney's share and the client's net recovery based on a settlement amount. Chaining these tools in LangChain lets you model completely different financial outcomes for a case.

Run Break-Even Analysis with the MCP Server

Knowing the individual costs is one thing, but comparing them is where you find the real insights. This is what the `fee` tool is for. It's designed to run head-to-head comparisons between billing structures. Your agent can use this tool to answer critical questions. For instance, at how many hours does an hourly rate become more expensive than a flat fee? Your agent can call `fee` to find that threshold, providing a clear data point for making decisions. This Attorney Fees Calculator MCP turns your agent from a data fetcher into a financial analyst.

Setup guide

Set up Attorney Fees Calculator MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Attorney Fees Calculator tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "attorney-fees-calculator-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Attorney Fees Calculator transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Attorney Fees Calculator. 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 Attorney Fees Calculator MCP in LangChain

You load the tools from this MCP into your LangChain agent's toolset. The agent can then decide which calculation to run based on the user's prompt or the state of a chain. It's just like any other LangChain tool integration.
Yes, that's the main idea. For example, your agent can run `team` to get a total hourly cost, then immediately feed that result into the `fee` tool to compare it against a flat rate. This lets your agent perform multi-step financial analysis.
The `hourly` tool calculates the cost for a single attorney based on their rate and hours worked. The `team` tool does the same but for a group of legal professionals, summing up their individual costs into one total.
No, it's completely stateless. The MCP processes the numbers you send it—like hourly rates and case percentages—and immediately returns a result. No data is ever logged or stored.
All communication between your LangChain agent and this MCP is encrypted over HTTPS. The MCP itself is stateless, meaning it doesn't store your billing inputs like hourly rates or contingency percentages after the calculation is done. Your data just passes through.

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