How to Use the GUIDEcx MCP in OpenAI Agents SDK

Drive customer onboarding directly through the OpenAI Agents SDK by letting your agents manage projects, log time, and update tasks.

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Connect GUIDEcx MCP to OpenAI Agents SDK

Create your Vinkius account to connect GUIDEcx 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.

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Setup GUIDEcx with OpenAI Agents SDK

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Launch onboarding projects using the OpenAI Agents SDK

Your deployment pipeline triggers project creation the second a contract is signed by exposing `create_project` to your OpenAI agent. The agent pulls template parameters from your CRM and immediately spins up the workspace, eliminating the typical two-day lag before onboarding begins. Once the workspace exists, the agent checks the setup details using `get_project`. It verifies that custom fields and client-facing milestones match the contract terms before sending the initial welcome email.

Let your MCP Server handle task status updates

Keeping customers updated on onboarding tasks usually requires constant manual status changes. Your agent uses `list_tasks` to scan for blocked items and identifies exactly who needs to take action. When a client completes their homework, the agent instantly triggers `update_task` to keep the project moving forward without human intervention. Calling `get_task` pulls granular details about specific bottlenecks. If a task stays overdue for more than forty-eight hours, your agent escalates the issue to the account owner before the client notices a delay.

Automate time tracking and user assignments

Tracking professional services hours is a notorious friction point for implementation teams. By integrating `create_time_record`, your agent logs engineering hours against specific onboarding milestones as soon as tasks are completed. This ensures accurate billing data is captured without demanding manual logs from your builders. To make sure the right people are in the loop, the agent uses `list_project_users` to audit assignments. If a critical stakeholder is missing, it cross-references the internal organization list with `list_users` to assign the correct resource immediately.

Setup guide

Set up GUIDEcx MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all GUIDEcx tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives GUIDEcx tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate GUIDEcx tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="GUIDEcx Agent",
            instructions="You have access to GUIDEcx tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GUIDEcx. 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 GUIDEcx MCP in OpenAI Agents SDK

Install the package using pip, then initialize the server streamable HTTP class with your Vinkius endpoint. Pass this server instance directly into your agent configuration block as an active MCP tool.

Yes, you can use the SDK's native guardrails to intercept tool calls before they hit the GUIDEcx API. This prevents your agent from making unauthorized status updates or logging incorrect hours.

The server acts as a thin wrapper over the GUIDEcx API, meaning you should manage high-volume updates by batching calls. If you trigger too many requests simultaneously, the API will return standard rate-limiting headers that your Python script must handle.

Writing custom wrappers requires constant maintenance when schemas change. The SDK handles tool discovery out of the box, letting your agent read the schema and call tools like `list_projects` dynamically.

Your onboarding project details, task descriptions, and time logs remain secure. Vinkius runs the server in an isolated sandbox, meaning your API tokens and customer data are never persisted or exposed to outside networks.

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