How to Use the Clio MCP in CrewAI

Q: How to filter Clio tools for CrewAI agents?

Use the toolfilter parameter to restrict agent access. You can ensure only the billing agent has the ability to view invoice details.

Deploy a specialized crew of agents in CrewAI to manage Clio legal documents, billing, and task scheduling.

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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.

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Setup Clio with CrewAI

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Specialized Clio crews in CrewAI

Assign a research agent to use `list_documents` while a billing agent monitors `list_activities`. Each agent uses its own tool set to perform deep dives into case history. This role-based approach keeps your legal operations organized. One agent focuses on the facts while another handles the administrative follow-up.

Automate Clio document organization with CrewAI

Use `list_matter_stages` and `list_documents` to audit case progress. The crew identifies which matters need immediate attention based on their current stage. This keeps your firm moving through its caseload. You no longer need to manually check the status of every single open file.

Collaborative Clio calendar management

Let your agents use `list_calendar_entries` to coordinate firm meetings and court appearances. They cross-reference these with `list_tasks` to ensure no deadlines are missed. This prevents scheduling conflicts across the team. Your agents act as a unified office assistant that knows exactly what is happening in the firm.

Setup guide

Set up Clio 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 Clio tools as needed.

crew.py

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)

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="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)

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 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.

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Common questions about Clio MCP in CrewAI

Include the server URL in your agent definition. This grants the crew access to all relevant legal tools for your specific workflow.

Agents share memory during the session. If one agent retrieves a contact ID, the others can use that information to create tasks or notes.

Use the tool_filter parameter to restrict agent access. You can ensure only the billing agent has the ability to view invoice details.

Yes, you can structure your crew so a manager agent delegates tasks to others. This is effective for complex cases requiring multiple steps and approvals.

Security is managed through the isolated MCP transport. Your firm activity data is restricted to the specific agents you have explicitly authorized.

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