How to Use the Clustdoc MCP in OpenAI Agents SDK
Manage your client onboarding directly within your OpenAI Agents SDK production system.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Clustdoc MCP to OpenAI Agents SDK
Create your Vinkius account to connect Clustdoc 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.
Monitor dossier progress in OpenAI Agents SDK
Your agent tracks active client applications without leaving the Python runtime. It calls `get_application_status_details` to pull real-time progress updates for any specific file. This keeps your agent informed on client status. It uses `list_client_dossiers` to surface pending work, ensuring your automated system stays updated on every active onboarding project.
Automate invitations through this MCP Server
Trigger onboarding flows immediately when your logic dictates. The agent executes `launch_new_onboarding` to start a record and `send_onboarding_invitation` to notify the client instantly. Everything happens inside the agent event loop. You avoid manual portal management by letting the code handle the outreach based on your predefined criteria.
Configure workflows within your agent
Access your template library to verify requirements before starting a process. The agent uses `list_onboarding_templates` to find the right structure for the task at hand. It checks the specifics with `get_workflow_configuration` to ensure the agent knows exactly which data fields are required. This prevents errors during the creation of a new dossier.
Set up Clustdoc 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 Clustdoc tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Clustdoc tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Clustdoc 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="Clustdoc Agent",
instructions="You have access to Clustdoc 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 Clustdoc. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
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
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Clustdoc MCP in OpenAI Agents SDK
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