How to Use the Celoxis MCP in AutoGen

Q: How do I configure the Celoxis tools in AutoGen?

Install autogen-extmcp. Use mcpservertools with StreamableHttpServerParams pointing to your Vinkius URL. Pass the resulting list into your AssistantAgent constructor.

Q: How does the framework handle complex Celoxis schemas?

The McpToolAdapter converts the deep intrinsic properties returned by endpoints like getproject into standard conversation messages that your agents can parse and debate.

Deploy debating AutoGen agents to analyze Celoxis resource allocations and project risks.

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Create your Vinkius account to connect Celoxis to AutoGen 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 AutoGen

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Perplexity

Let agents debate Celoxis project risks autonomously

AutoGen thrives on competing perspectives. You can assign one agent to act as a risk manager, giving it access to `list_risks` and `list_issues`. It scans the custom application matrix for organizational threats and blocked workflows. A second agent acts as the delivery lead, armed with `list_milestones` and `list_tasks`. When the risk manager flags a problem, the delivery agent argues the impact on the Work Breakdown Structure. They debate the severity and converge on a mitigation plan before presenting it to you.

Audit expenses and timesheets through conversation

Financial oversight requires careful scrutiny. You build an auditor agent that pulls `list_expenses` and `list_time_entries`. It looks for anomalies in raw billable metrics logged against specific tasks. If it finds a discrepancy, it challenges a project manager agent that has access to `list_approvals`. The two agents discuss whether the pending constraints justify the logged hours. This consensus-driven approach catches accounting errors that a single pass might miss.

Optimize global tracking with AutoGen MCP Server tools

Managing strategic global tracking means balancing limited personnel. Your resource agent calls `list_resources` and `list_clients` to see who is assigned to which CRM portfolio. It builds a map of active allocations across the ecosystem. A portfolio director agent uses `list_portfolios` and `get_project` to demand more staff for top-level aggregates. The agents negotiate the assignments, moving people around virtually to satisfy competing project demands.

Setup guide

Set up Celoxis 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 Celoxis 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="Celoxis_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Celoxis 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="Celoxis_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Celoxis 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 Celoxis. 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 Celoxis MCP in AutoGen

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with `StreamableHttpServerParams` pointing to your Vinkius URL. Pass the resulting list into your AssistantAgent constructor.

Yes. You can pass the same MCP Server tool list to different agents in your conversation group. One might specialize in reading `list_projects` while another focuses on financial endpoints.

The `McpToolAdapter` converts the deep intrinsic properties returned by endpoints like `get_project` into standard conversation messages that your agents can parse and debate.

This specific implementation provides read-only tracking via `list_approvals`. Your agents can read the pending governance constraints and debate them, but they cannot execute state changes.

Your data remains secure. The Vinkius infrastructure handles the authentication for `list_time_entries` over an encrypted channel. The agents debate the accounting data locally on your machine, while the server drops the connection the second the fetch completes.

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