How to Use the Apperio MCP in OpenAI Agents SDK
Connect Apperio to OpenAI Agents SDK to automate legal spend approvals and matter tracking in your production agent systems.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Apperio MCP to OpenAI Agents SDK
Create your Vinkius account to connect Apperio 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.
Automate legal invoice approvals
Trigger `approve_invoice` or `reject_invoice` directly from your agent logic. This MCP Server handles the state transitions without manual intervention. You avoid bottlenecks by letting your agent review data retrieved via `get_invoice_details`. It keeps your billing cycle moving while maintaining strict internal control.
Monitor matter progress
Query your legal spend data using `list_matters` and `get_matter_header`. Your agent gets a clear picture of active matters without digging through spreadsheets. Apply labels using `tag_matter` to keep your dashboard organized. It ensures your team tracks every billable hour against the right project category.
Verify account connectivity
Run `get_account_check` within your OpenAI Agents SDK setup to confirm your connection is active. It prevents silent failures before your agent attempts to process high-value invoices. Use `get_invoice_approval_workflow` to understand the path each document takes. This gives your system the context it needs to route tasks correctly.
Set up Apperio 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 Apperio tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Apperio tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Apperio 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="Apperio Agent",
instructions="You have access to Apperio 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 Apperio. 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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Real-time monitoring
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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
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Single dashboard
One
place for every integration
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Common questions about Apperio MCP in OpenAI Agents SDK
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