How to Use the Clio MCP in AutoGen

Q: How do I register the Clio MCP Server tools with AutoGen?

Install autogen-extmcp and use the mcpservertools helper with your Clio server URL. Pass the resulting tool list directly to your AutoGen AssistantAgent during initialization.

Let specialized AutoGen agents coordinate, debate, and manage your Clio legal cases and workflows.

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Create your Vinkius account to connect Clio to AutoGen 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 AutoGen

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Coordinate multi-agent legal reviews in AutoGen

The Clio MCP Server allows specialized AutoGen agents to coordinate and debate legal operations before taking action. For example, a billing agent runs `get_bill` while a compliance agent checks the invoice against client guidelines. They discuss the details in a shared chat thread to ensure accuracy before finalizing any financial records. This consensus-driven approach prevents errors in your legal database. The agents do not execute a tool like `create_activity` until they agree that the logged hours match the case notes retrieved via `list_notes`.

Automate case intake and contact verification

This Clio MCP Server sets up specialized AutoGen agents to handle new client intakes automatically. The agent collects information, searches for duplicates using `search_contacts`, and debates with a conflict-of-interest agent before running `create_contact` to register the new client. Once cleared, a separate agent automatically initializes the legal file using `create_matter`. By separating these duties among distinct agents, you build a highly reliable intake pipeline that reduces administrative overhead.

Manage court deadlines and task delegation

The Clio MCP Server keeps your legal team on track by letting AutoGen agents manage tasks and court deadlines. One agent monitors upcoming dates using `list_calendar_entries`, while a coordinator agent assigns follow-up tasks via `create_task` to the appropriate team members found in `list_users`. If a deadline changes, the agents negotiate who is best suited to handle the update. They check current workloads by listing tasks and update the case file using `create_note` to document the schedule shift.

Setup guide

Set up Clio MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Clio tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Clio_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Clio data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Clio_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Clio data")
    print(result.messages[-1].content)

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Common questions about Clio MCP in AutoGen

Install `autogen-ext[mcp]` and use the `mcp_server_tools` helper with your Clio server URL. Pass the resulting tool list directly to your AutoGen `AssistantAgent` during initialization.

Yes. One agent can review draft case notes while another calculates the time spent, and they collaborate to call `create_activity` with the precise duration and description.

All interactions with your legal documents, case files, and client details are run within a secure, isolated V8 sandbox. This setup ensures that sensitive legal information remains private and is never exposed to external agents or networks.

The agents use conversational consensus to resolve conflicts. If one agent tries to update a case status while another flags a pending task, they debate the sequence before calling any write tools.

Yes, you can deploy an auditor agent that pulls records using `list_bills` and cross-references them with `list_activities` to flag any billing discrepancies.

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