How to Use the Confido Legal MCP in CrewAI

Q: How do I configure CrewAI to use Confido Legal tools?

Pass your Vinkius endpoint URL directly into the mcps list when initializing your CrewAI agents. The framework auto-discovers these MCP tools and makes them available to your specialized crew.

Q: Can a CrewAI agent split payments between trust and operating accounts?

Yes, the createpaymentlink tool exposes parameters for splitting funds. Your billing agent analyzes the legal matter's requirements and specifies the exact split amounts when calling the tool.

Q: How do I restrict which Confido Legal MCP tools a CrewAI agent can use?

Use MCPServerHTTP from crewai.mcp with a toolfilter to expose only specific tools. For example, you can allow an intake agent to use createclient while blocking it from accessing bank details.

Q: How does CrewAI protect client payment links and billing data?

The integration routes all payment link details from getpaymentlinkdetails through a zero-trust, ephemeral V8 sandbox. This MCP setup isolates your firm's financial data from the agents' memory pools to prevent accidental data leaks.

Deploy specialized agent teams to manage legal trust compliance and billing using CrewAI.

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Connect Confido Legal MCP to CrewAI

Create your Vinkius account to connect Confido Legal 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 Confido Legal with CrewAI

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Multi-Agent Trust Compliance Auditing

`get_firm_details` and `list_payment_links` give your specialized compliance crew the raw ledger data they need to audit transactions. One agent can pull bank details while another checks payment links for discrepancies. CrewAI manages this process using shared memory, allowing the auditing agent to pass trust account balances to the reporting agent. The entire legal audit runs autonomously without human intervention.

Autonomous Client Intake and Setup

`create_client` and `list_matters` allow your intake crew to onboard new clients and set up their legal matters. An intake agent parses incoming emails, extracts relevant details, and creates the client profile. By using this MCP Server, your crew coordinates the entire setup sequence. The agent verifies the client exists before attempting to link a new matter, preventing database duplicates.

Automated Retainer Collection with MCP Server

`create_payment_link` triggers automated retainer requests when your crew detects a low trust balance. A monitoring agent tracks trust account levels while a collection agent generates the payment link. The framework supports hierarchical execution, meaning a manager agent reviews the payment link before a sender agent emails it to the client. This ensures strict compliance with law firm billing policies.

Setup guide

Set up Confido Legal 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 Confido Legal tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Confido Legal 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="Confido Legal Analyst",
        goal="Access and analyze Confido Legal data via MCP.",
        backstory="Expert analyst with direct Confido Legal access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Confido Legal 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 Confido Legal. 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 Confido Legal MCP in CrewAI

Pass your Vinkius endpoint URL directly into the `mcps` list when initializing your CrewAI agents. The framework auto-discovers these MCP tools and makes them available to your specialized crew.

Yes, the `create_payment_link` tool exposes parameters for splitting funds. Your billing agent analyzes the legal matter's requirements and specifies the exact split amounts when calling the tool.

Use `MCPServerHTTP` from `crewai.mcp` with a `tool_filter` to expose only specific tools. For example, you can allow an intake agent to use `create_client` while blocking it from accessing bank details.

This server supports stdio, SSE, and Streamable HTTP transports. CrewAI connects over secure HTTP to Vinkius, ensuring reliable execution of your automated legal workflows.

The integration routes all payment link details from `get_payment_link_details` through a zero-trust, ephemeral V8 sandbox. This MCP setup isolates your firm's financial data from the agents' memory pools to prevent accidental data leaks.

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