How to Use the WPS 365 MCP in AutoGen

Simulate multi-agent reviews of WPS 365 files using AutoGen.

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Connect WPS 365 MCP to AutoGen

Create your Vinkius account to connect WPS 365 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 WPS 365 with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Consensus on File Requirements

You can set up multiple agents—say, a 'Security Agent' and an 'Export Agent.' They debate whether a file needs to be exported (`export_file`) or if its current metadata is sufficient. The conversation converges on the necessary action, ensuring all perspectives are considered before execution.

Collaborative Document Planning

A system of agents can review a file's need for collaboration. One agent checks `list_collaborators`, while another suggests new users based on the organizational roster (`list_users`). The outcome is not just a list, but a negotiated plan for who should be added to the project.

Multi-Agent Data Gathering

Agents can divide up research tasks. One agent gets the overall structure using `list_folders`, while another uses `get_folder_content` on a specific branch. The final decision is based on the synthesis of these disparate data streams, simulating complex human review.

Setup guide

Set up WPS 365 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 WPS 365 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="WPS 365_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent WPS 365 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="WPS 365_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent WPS 365 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 WPS 365. 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 WPS 365 MCP in AutoGen

You define agents that challenge each other. One agent might ask for `get_file_info` while another critiques the lack of collaborator details, forcing a decision to run `list_collaborators`.

Yes. Agents can work together: one lists all folders, another checks the contents of those folders. This simulates a complete architectural review process.

You can set up an agent debate around user access: one proposes adding users, another challenges the need for it based on existing `list_collaborators` data.

The server touches file metadata. This includes document names, paths, collaborator IDs, and organization details. The agents operate on the structure of that information.

It doesn't care about the file type; it only cares about the actionable metadata. Whether you are listing folders or checking user lists, the MCP Server provides structured data for discussion.

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