How to Use the folk MCP in AutoGen

Q: Can my agents debate folk contact status?

They can. By using getcontactdetails, your agents can compare their individual findings and resolve any discrepancies in your contact data.

Deploy a multi-agent team in AutoGen to negotiate and execute tasks using your folk contact database as the source of truth.

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Connect folk MCP to AutoGen

Create your Vinkius account to connect folk 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 folk with AutoGen

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Claude

Perplexity

Multi-agent CRM collaboration

Let your AutoGen agents debate the best way to handle a lead. One agent calls `list_contacts` to find prospects, while another validates the data. This consensus-driven approach catches errors early. Your agents negotiate the right strategy for every outreach campaign without your constant oversight.

Negotiating with interaction history

Use `list_interactions` to feed your agents the context they need for a decision. If agents disagree on a candidate, they compare notes to reach a conclusion. This process treats your relationship history as the ultimate tie-breaker. It brings clarity to complex deals where the right move isn't immediately obvious.

Automated group and contact management

Assign tasks by group using `list_groups` to organize your agents' work. Different agents handle distinct segments based on the current CRM state. Perform mass updates or new entries with `create_contact` once your agents agree on the action. It keeps your database clean and active.

Setup guide

Set up folk 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 folk 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="folk_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Common questions about folk MCP in AutoGen

They use the MCP tools to interact with your CRM. One agent might fetch the data while another decides what to do with it.

They can. By using `get_contact_details`, your agents can compare their individual findings and resolve any discrepancies in your contact data.

The server manages your API key securely. AutoGen agents only receive the data they need to perform their specific tasks.

If a call fails, your agents can discuss the error and attempt a retry or pivot to a new strategy. It makes the entire system resilient.

The server uses a zero-trust architecture. Your sensitive contact notes and interaction histories remain within the ephemeral session, never stored by the underlying server logic.

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