How to Use the Celoxis MCP in OpenAI Agents SDK

Q: How do handoffs work with Celoxis in OpenAI Agents SDK?

You build a router agent that reads global data via listclients. It then routes specific analytical tasks to sub-agents equipped with targeted tools like listtasks or listapprovals.

Connect the Celoxis MCP Server to OpenAI Agents SDK and build production-ready project systems with built-in execution guardrails.

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Connect Celoxis MCP to OpenAI Agents SDK

Create your Vinkius account to connect Celoxis 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 Celoxis with OpenAI Agents SDK

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Map portfolios with OpenAI Agents SDK

The `list_portfolios` and `list_projects` tools feed your agent the exact physical IDs and timelines of your top-level tracking objects. That gives the system immediate context of the entire organizational structure before it makes a single decision. You can set up specialized agents for different business units. One agent reads strategic aggregates, then hands off specific delivery tracking to another using `list_milestones` and `get_project`.

Track resources and timesheets

Your agent grabs allocation mappings using `list_resources` and cross-references them against actual billed hours via `list_time_entries`. You get concrete data on exactly who worked on which Work Breakdown Structure item. Built-in SDK tracing logs every single API call. When your system calculates burn rates, you'll see exactly which Celoxis records the agent pulled to generate those numbers.

Catch blocked deliverables early

The `list_issues` and `list_risks` tools expose custom app items representing workflow bottlenecks right to your agent. It reads the exact matrix constraints bounding the delivery schedule. Financial guardrails validate everything. Before the agent fires off alerts about budget overruns, it checks raw billable items using `list_expenses` and verifies pending statuses with `list_approvals`.

Setup guide

Set up Celoxis 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 Celoxis tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Celoxis 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="Celoxis Agent",
            instructions="You have access to Celoxis tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Celoxis MCP in OpenAI Agents SDK

Install the openai-agents package. Pass the Vinkius endpoint using MCPServerStreamableHttp into your agent's constructor. Tools auto-discover immediately.

Yes. Set cacheToolsList=True in your MCP configuration. This prevents the agent from re-fetching the same WBS structures repeatedly during complex portfolio analysis.

You build a router agent that reads global data via list_clients. It then routes specific analytical tasks to sub-agents equipped with targeted tools like list_tasks or list_approvals.

The SDK enforces execution guardrails. You define strict boundaries on how many records the system can fetch per run.

The Vinkius V8 Isolate Sandbox destroys all memory after execution. Your raw billable expenses, internal resource mappings, and strategic risk matrices never persist on our infrastructure.

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