How to Use the Document360 MCP in AutoGen

Q: How can AutoGen search Document360 content?

The agent uses the search tool to query your knowledge base. It then debates the results with other agents to choose the best answer.

Q: Can AutoGen list Document360 project versions?

Yes, using the listprojects tool. Your agents can negotiate which version to target if a user asks a question about a specific release.

Q: Does AutoGen use Document360 analytics to make decisions?

It does. The analytics tool provides the data, and your agents discuss the implications to determine if an article needs an update.

Q: How do I see team members in Document360?

Call the listteam tool. Your agents can then reference this list to decide which human expert to flag for a documentation review.

Get your AutoGen agents debating and managing your documentation using the Document360 MCP server.

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Connect Document360 MCP to AutoGen

Create your Vinkius account to connect Document360 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 Document360 with AutoGen

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Perplexity

Debate documentation tasks in AutoGen

Let your agents use `list_articles` to gather evidence for a discussion. One agent checks the docs while another validates the relevance of the findings. It forces consensus. By having agents challenge each other using the data they find, you get more accurate answers about your knowledge base.

Execute complex workflows with MCP

Your agents call `get_article` and `search` to resolve technical queries during a conversation. They share the workload and piece together the documentation you need. It works like a team. One agent handles the search, while another summarizes the content, ensuring the final output is polished and accurate.

Review analytics with multi-agent teams

Pass `analytics` results to your agents so they can evaluate the health of your docs. The agents discuss which articles need work based on the traffic data. It automates your content audit. You get a debate-backed report on which sections of your knowledge base are failing to serve your users.

Setup guide

Set up Document360 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 Document360 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="Document360_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Document360 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="Document360_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Document360 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 Document360. 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 Document360 MCP in AutoGen

The agent uses the `search` tool to query your knowledge base. It then debates the results with other agents to choose the best answer.

Yes, using the `list_projects` tool. Your agents can negotiate which version to target if a user asks a question about a specific release.

It does. The `analytics` tool provides the data, and your agents discuss the implications to determine if an article needs an update.

The server uses a zero-trust, ephemeral approach. It only reads the specific articles or metrics requested during the agent's active session.

Call the `list_team` tool. Your agents can then reference this list to decide which human expert to flag for a documentation review.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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