Can the AI agent track active project milestones and timeline risks?

Yes. The agent uses the explicit milestones and risks endpoints to provide real-time updates on deliverable health, letting you manage complex Portfolio lifecycles entirely through natural language commands without sifting through gantt charts.

Does it map team hours and billable expenses internally?

Absolutely. Using the resources, time entries, and expenses tools, the agent accurately links organizational workers, the exact time they logged natively, and their costs—directly mapping them onto specific project ledgers on the fly.

Can the agent query custom issues and complex gating approvals?

Yes. The integration pulls mapped states of blocking issues and traces routing limits for approvals over timesheets or expenses, granting you full observability into administrative constraints without opening the Celoxis interface.

Celoxis MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: Celoxis
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Celoxis through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Celoxis Assistant",
            instructions=(
                "You help users interact with Celoxis. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Celoxis"
        )
        print(result.final_output)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Celoxis MCP Server

Connect your Celoxis enterprise platform to any AI agent and take full control of your Project Portfolio Management (PPM) workflow through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Celoxis through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Celoxis, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Project & Portfolio Mapping — List strategic portfolios and extract granular project structures including absolute timelines, completion statuses, and mapped budget blocks.
WBS & Tasks — Retrieve explicit Work Breakdown Structure nodes, identifying active assignments, task health, and explicit phase deliverables.
Resource Allocation — Evaluate working resources, parse user mappings, and expose global scheduling types and distinct system roles across your organization.
Timesheets & Accounting — Accurately pull time entries logged by members to measure billable matrices and ledger associations tied directly to tasks natively.
Issue & Risk Governance — Poll blocking issues preventing workflows and assess graded severity impacts modeled inside the Celoxis organizational risk matrix.
Approvals Pipeline — Interrogate pending validations routing over timesheets, assessing gating rules and internal clearance statuses immediately.

The Celoxis MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Celoxis to OpenAI Agents SDK via MCP

Follow these steps to integrate the Celoxis MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 12 tools from Celoxis

Why Use OpenAI Agents SDK with the Celoxis MCP Server

OpenAI Agents SDK provides unique advantages when paired with Celoxis through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Celoxis + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Celoxis MCP Server delivers measurable value.

Automated workflows: build agents that query Celoxis, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Celoxis, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Celoxis tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Celoxis to resolve tickets, look up records, and update statuses without human intervention

Celoxis MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Celoxis to OpenAI Agents SDK via MCP:

get_project

Get an explicit Celoxis project and its complete intrinsic properties structure by ID

list_approvals

List explicit tracking objects identifying pending/cleared approvals over timesheets and expenses constraints

list_clients

List explicit top-level CRM organizational clients linked internally to distinct portfolios

list_expenses

List raw billable/non-billable expenses physically mapped onto task items inside the ecosystem

list_issues

List custom app items representing blocked issues explicit to complex workflows mapping problems

list_milestones

List raw milestones natively mapping absolute phase delivery tracking inside the WBS

list_portfolios

List strategic global tracking Portfolios mapping top-level aggregates over child projects natively

list_projects

List all top-level project portfolio items in Celoxis. Returns physical IDs, names, status, and timeline data

list_resources

List all explicit Celoxis working resources parsing the core user mappings handling allocations

list_risks

List explicit organizational risks bounded natively via the Celoxis custom application matrix

list_tasks

List comprehensive Work Breakdown Structure (WBS) tasks representing concrete deliverables within active projects

list_time_entries

List actual time entries logged explicitly against Celoxis tasks or projects for accounting

Example Prompts for Celoxis in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Celoxis immediately.

"List all active projects in our company portfolio and check their timeline status."

"Check the detailed logged time entries for the Marketing project and verify pending approvals."

"Extract the explicit risk logs and blocked issues reported across our client portfolio."

Troubleshooting Celoxis MCP Server with OpenAI Agents SDK

Common issues when connecting Celoxis to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Celoxis + OpenAI Agents SDK FAQ

Common questions about integrating Celoxis MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.