How to Use the Mosaic (Resource Planning & Workforce Management) MCP in AutoGen

Q: Can AutoGen agents negotiate resource conflicts in Mosaic (Resource Planning & Workforce Management)?

Yes, your agents can debate allocations by querying listworkplans and listmembers over the MCP connection. They collaborate to find open slots and resolve scheduling bottlenecks without manual intervention.

Q: How do my agents know which roles to assign?

Your agents query listroles to understand the available classifications. They then match these categories with individual member profiles retrieved via getmember to assign the right person to the job.

Q: Is our organization's member directory secure when using this server?

Yes, your member directory and roles retrieved via listmembers and listroles stay secure. All connections use single-endpoint token authentication, routing queries through a locked-down V8 sandbox that blocks unauthorized external access.

Let your AutoGen agents debate resource allocation, project budgets, and team capacity using live Mosaic data.

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Setup Mosaic (Resource Planning & Workforce Management) with AutoGen

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Debate Resource Allocation with AutoGen Agents

The `list_work_plans` tool exposes scheduled resource mappings across all your active projects. AutoGen lets multiple agents deliberate over these schedules to find the best allocation strategy. A project manager agent can propose a timeline, while a resource agent checks member availability using `list_members`. They negotiate in real time until they find a schedule that works for everyone.

Audit Budgets through Multi-Agent Collaboration

The `list_budgets` tool provides structured estimates for project initiatives. In AutoGen, a financial analyst agent can pull these budgets and cross-reference them with actual cost rates using `list_cost_rates`. If a project is projected to lose money, a risk agent flags it. The agents debate alternative staffing options, pulling data from `list_bill_rates` to find a mix that restores profitability.

Coordinate Calendars with your AutoGen MCP Server

The `list_calendar_events` tool retrieves mapped temporal events for your team members. Your AutoGen agents use this data to resolve schedule conflicts automatically. One agent tracks client check-ins via `list_check_ins`, while another monitors work plans. Together, they flag conflicting bookings, ensuring your team is never scheduled to be in two places at once.

Setup guide

Set up Mosaic (Resource Planning & Workforce Management) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Mosaic (Resource Planning & Workforce Management) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Mosaic (Resource Planning & Workforce Management)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Mosaic (Resource Planning & Workforce Management) data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Mosaic (Resource Planning & Workforce Management)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Mosaic (Resource Planning & Workforce Management) data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mosaic. 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 Mosaic (Resource Planning & Workforce Management) MCP in AutoGen

Use the tool adapter to automatically convert the schemas for your MCP server. Pass the tools list to your `AssistantAgent` constructor so your agents can query endpoints like `list_projects`.

Yes, your agents can debate allocations by querying `list_work_plans` and `list_members` over the MCP connection. They collaborate to find open slots and resolve scheduling bottlenecks without manual intervention.

Yes, you can connect using Streamable HTTP transport parameters to bridge your MCP server. This allows your multi-agent system to fetch real-time data from tools like `list_budgets` securely over the web.

Your agents query `list_roles` to understand the available classifications. They then match these categories with individual member profiles retrieved via `get_member` to assign the right person to the job.

Yes, your member directory and roles retrieved via `list_members` and `list_roles` stay secure. All connections use single-endpoint token authentication, routing queries through a locked-down V8 sandbox that blocks unauthorized external access.

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