How to Use the Clio MCP in OpenAI Agents SDK
Build production-ready legal agents that log billable hours and track court deadlines using the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Clio MCP to OpenAI Agents SDK
Create your Vinkius account to connect Clio to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Connect your firm to this MCP Server
OpenAI agents need strict guardrails when touching client case files. You map out specialized agents for intake and billing, and they auto-discover tools like `search_matters` and `get_contact`. The SDK validates every action before execution so your system never hallucinates a fake case number. Handoffs work naturally here. An intake agent runs `create_contact` to log a new client, then passes the context to a case agent that calls `create_matter` to open the file. You track the whole chain directly in the OpenAI dashboard.
Automate time tracking and billing
Lawyers hate logging their time. You build a background agent that reads their daily emails and calendar, then triggers `create_activity` to post exact seconds against specific matters. It handles expense entries the exact same way. Revenue tracking happens without manual data entry. Your billing agent pulls `list_bills` to find outstanding receivables and checks `get_bill` for line-item details. Tracing lets you see exactly how the model calculated the totals.
Track court deadlines
Missing a filing date ruins a case. Your agent pulls schedule data using `list_calendar_entries` and checks for upcoming court dates. It then calls `create_task` to assign preparation work to specific attorneys. Team management gets easier when the agent knows who handles what. It reads `list_users` to find available staff and checks `list_practice_areas` to assign the right specialist. You set `cacheToolsList=True` so the agent runs these checks instantly.
Set up Clio MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Clio tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Clio tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Clio tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Clio Agent",
instructions="You have access to Clio tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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 OpenAI Agents SDK
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