How to Use the Affinda MCP in AutoGen

Deploy multi-agent teams in AutoGen that debate and process documents via Affinda.

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Connect Affinda MCP to AutoGen

Create your Vinkius account to connect Affinda 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 Affinda with AutoGen

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Perplexity

AutoGen document processing agents

Task your agents with parsing complex documents using `create_document`. One agent can handle the upload while another critiques the extracted JSON for accuracy. You build systems where agents challenge the results until they reach a consensus. It turns simple data extraction into a collaborative effort.

Verify document parsing models

Use `list_document_types` to ensure your agents are using the correct model for the task. If an agent tries to parse an invoice with a resume model, it can catch the error. Your agents coordinate to fix configuration issues before they process a batch. This reduces the number of failed attempts significantly.

Coordinate across workspaces

Agents can use `list_workspaces` to organize documents by department or client. They negotiate where to store files based on the data type detected. This keeps your account clean. Your AutoGen setup handles the filing logic, so you don't have to manually sort through your records.

Setup guide

Set up Affinda 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 Affinda 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="Affinda_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Affinda data")
print(result.messages[-1].content)

Get your connection token →

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="Affinda_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

They use the McpToolAdapter to communicate with the server. This allows your agents to call document tools just like any other function.

They can. You provide the tools to the assistant agents, and they will decide when to invoke them during their conversation.

The tool call is synchronous, so the agent will wait until the document is processed before moving to the next step in its debate.

Your agents can catch the error response from the tool and discuss a retry strategy or ask you for human intervention.

Your documents stay within your workspace. Only the structured data required by your agents for their decision-making process is shared during the conversation.

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