How to Use the Mosaic (Resource Planning & Workforce Management) MCP in OpenAI Agents SDK

Build production-grade resource auditing agents for Mosaic with the OpenAI Agents SDK. Get safe, traceable actions out of the box.

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Connect Mosaic (Resource Planning & Workforce Management) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Mosaic (Resource Planning & Workforce Management) 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 Mosaic (Resource Planning & Workforce Management) with OpenAI Agents SDK

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Claude

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Audit Budgets with Guardrails

Tools like `list_projects`, `list_budgets`, and `list_cost_rates` let your agent cross-reference project data against financials. You can ask it to pull a project's status and then check its financial health. The OpenAI SDK ensures these chained calls are validated before they run. It's not just about getting data. It's about building a reliable auditor. For example, you can build an agent that flags any project where planned work in `list_work_plans` exceeds the budget, and trust that the agent's actions are tracked and constrained.

Track Team Workloads Safely

The `list_members` and `list_work_plans` tools give your agent a clear picture of who is working on what. It can pull a team roster and then fetch all their assignments, giving you a real-time view of utilization. Because this is an OpenAI Agent, you can create specialized agents. One agent could monitor developer capacity while another tracks the design team's workload. The SDK's handoff feature lets them collaborate to answer complex questions, like 'Is the 'Apollo' project at risk of delay due to engineering allocation?'

An MCP Server for Your OpenAI Agent

This MCP Server exposes 12 read-only tools from Mosaic for your agent to discover automatically. You're not getting raw API access; you're getting structured operations for things like project lookups with `list_projects` and budget checks with `list_budgets`. The setup is minimal. Once you point your agent to the Vinkius MCP endpoint, it automatically understands how to use tools like `get_member` or `list_bill_rates`. Set `cacheToolsList=True` and your agent will be ready to go, faster.

Setup guide

Set up Mosaic (Resource Planning & Workforce Management) 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 Mosaic (Resource Planning & Workforce Management) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Mosaic (Resource Planning & Workforce Management) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Mosaic (Resource Planning & Workforce Management) 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="Mosaic (Resource Planning & Workforce Management) Agent",
            instructions="You have access to Mosaic (Resource Planning & Workforce Management) 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 Mosaic (Resource Planning & Workforce Management) MCP in OpenAI Agents SDK

The SDK automatically discovers the 12 tools from this MCP Server. You can then build agents that use tools like `list_projects` and `list_work_plans` to answer questions. OpenAI's built-in guardrails add a layer of safety to every action.

Yes. You can build one agent that focuses on financial auditing using `list_budgets` and `list_cost_rates`, and another that monitors team capacity with `list_members` and `list_work_plans`. The SDK is designed for these multi-agent workflows.

Absolutely. The combination of Vinkius's managed MCP server and the OpenAI Agents SDK's tracing and safety features gives you a reliable setup. It's built for creating deployed products, not just prototypes.

You can ask complex questions that require pulling from multiple tools. For instance: 'Show me all active projects and compare their current work plan hours against their original budgets.' The agent will figure out it needs to call `list_projects`, `list_work_plans`, and `list_budgets`.

The server only reads your Mosaic resource planning data, including project lists, budgets, work plans, and team member details. It never writes anything. Vinkius secures the connection with a unique token, and the OpenAI SDK adds another layer by validating agent actions before they execute, preventing unintended data exposure.

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