How to Use the Attorney Fees Calculator MCP in CrewAI

Deploy autonomous billing crews with CrewAI. Let specialized agents handle fee calculations and reporting.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Attorney Fees Calculator MCP to CrewAI

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

GDPR Included with Plan

Setup Attorney Fees Calculator with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Role-based legal billing for CrewAI

Assign a research agent to pull data and a moderator agent to run `hourly` calculations. They work in tandem to produce accurate cost estimates for the firm. Shared memory allows the crew to track the time spent across the entire case. This keeps your billing accurate without human intervention.

Autonomous flat fee estimation for crews

Let your agents determine standard pricing for contracts using `flat_fee`. The crew checks the document type and applies the correct price range. It removes the need for manual review for standard legal work. The agents act on your behalf to standardize your pricing.

Scale billing operations with CrewAI

Use your agents to run `contingency` models on mass tort or high-volume cases. The agents calculate potential firm profit and client recovery automatically. Your crew handles the math while you look at the results. It is the fastest way to scale your legal operations.

Setup guide

Set up Attorney Fees Calculator MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Attorney Fees Calculator tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Attorney Fees Calculator Analyst",
    goal="Access and analyze Attorney Fees Calculator data via MCP.",
    backstory="Expert analyst with direct Attorney Fees Calculator access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Attorney Fees Calculator transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Attorney Fees Calculator Analyst",
        goal="Access and analyze Attorney Fees Calculator data via MCP.",
        backstory="Expert analyst with direct Attorney Fees Calculator access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Attorney Fees Calculator transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Attorney Fees Calculator now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Attorney Fees Calculator MCP in CrewAI

Pass the MCP URL directly into the agent definition. The agents will then gain the ability to call the billing tools during their execution sequence.

Yes. Agents can share the outputs of these tools. One agent performs the calculation, and another agent writes the summary report for the client.

It does. You can set up a manager agent to decide which billing model is best before delegating the specific calculation tool to a subordinate agent.

It is. You can run the MCP locally alongside your crew for high-performance, low-latency execution of all billing tasks.

The tools only receive the specific billing parameters you provide during execution. No financial or case data is stored or logged by the server after the request is finished.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript