How to Use the Affinity MCP in AutoGen

Enable multi-agent debate using your CRM data in AutoGen.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Affinity MCP to AutoGen

Create your Vinkius account to connect Affinity 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.

GDPR Free for Subscribers

Setup Affinity with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate CRM data using AutoGen agents

Use `list_interactions` to provide context for your agents to argue over deal health. One agent can review the log while another challenges the conclusion. This forces your system to reach a consensus based on actual meeting activity. It prevents single-agent bias when interpreting your CRM logs.

Cross-reference Affinity lists in AutoGen

Load your smart lists with `list_smart_lists` so your agents can negotiate strategy. They can check `list_list_entries` to confirm if the right people are in the pipeline. Your agents discuss the data until they agree on a next step. It creates a deliberative process for your sales operations.

Sync Affinity contacts for AutoGen agents

The `list_persons` tool lets your agents pull contact details into their conversation. They can then debate the best way to handle a specific client. This ensures every decision is backed by the latest contact data. The McpToolAdapter handles all the schema conversion for you.

Setup guide

Set up Affinity 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 Affinity 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="Affinity_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Affinity 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 Affinity. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Affinity now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Affinity MCP in AutoGen

Install the MCP extension and use the server tools to pass them into your AssistantAgent. The adapter handles the schema conversion automatically so your agents can start talking.

It allows multiple agents to challenge each other's interpretations of CRM data. You end up with a consensus-driven strategy rather than a single, potentially flawed answer.

All communication occurs over a secure, ephemeral transport. We do not store your CRM data, and each agent session is isolated.

This server is for data retrieval only. Agents can read and debate the records, but they cannot push changes back to your CRM.

The server touches your meeting logs, contact lists, and CRM pipelines. We employ a zero-trust model where every data request requires a fresh token.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python