How to Use the Clio MCP in CrewAI
Deploy CrewAI agents to manage your Clio MCP Server, letting specialized AI teams handle legal research and billing.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Clio MCP to CrewAI
Create your Vinkius account to connect Clio to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Multi-Agent Legal Matter Operations
The `get_matter` tool feeds case details to a specialized research agent that analyzes the responsible attorney's current workload. CrewAI lets you assign distinct roles to different models. The researcher pulls the data, while a separate coordinator agent decides what needs to happen next. Tracking the case lifecycle requires constant monitoring. A dedicated oversight agent calls `list_matter_stages` to see if a file moved from Discovery to Trial. It then shares that state change in the crew's memory so other agents can react.
Autonomous Invoice Tracking
The `list_activities` tool allows a financial auditor agent to review all time entries and expenses across the firm. You configure this agent to look for missing billable hours or incorrect rates. It operates entirely in the background without bothering your accounting staff. Correcting those records happens via delegation. The auditor identifies a gap and instructs a data-entry agent to execute `create_activity`. The system logs the exact seconds spent on a task, keeping your firm's revenue accurate.
Clio MCP Server Task Dispatch
The `list_calendar_entries` tool gives your scheduling agent a complete view of court dates and client meetings. This agent reads the summary and location data to find conflicts. It then updates the shared memory so the rest of the crew knows which attorneys are unavailable. Assigning follow-ups is a job for the moderator agent. It uses `list_tasks` to check pending deadlines and assigns new ones based on the calendar data. Your autonomous team handles the entire firm's daily to-do list sequentially.
Set up Clio MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Clio tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Clio Analyst",
goal="Access and analyze Clio data via MCP.",
backstory="Expert analyst with direct Clio access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Clio transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="Clio Analyst",
goal="Access and analyze Clio data via MCP.",
backstory="Expert analyst with direct Clio access.",
tools=mcp_tools,
)
task = Task(
description="List recent Clio transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clio. 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.
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 Clio MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Clio MCP today
We host it, we monitor it, we maintain it. You just paste one token.