How to Use the ConnectAndSell MCP in AutoGen
Let AutoGen agents debate and coordinate your ConnectAndSell dialing strategies and CRM updates.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ConnectAndSell MCP to AutoGen
Create your Vinkius account to connect ConnectAndSell 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.
Debate ConnectAndSell List Priority with AutoGen
The `list_assigned_lists` tool feeds active outbound lists directly into your AutoGen agent conversation. A strategy agent and a performance agent can debate which lists are yielding the best results based on current assignments. This multi-agent framework ensures your team doesn't rely on single-agent assumptions when analyzing dialer data. The agents use the MCP Server to pull live list data, converging on the most efficient dialing plan.
Coordinate CRM Syncing via AutoGen Consensus
The `sync_to_crm` tool is executed only after your AutoGen agents agree that a conversation meets your CRM entry criteria. One agent reviews the conversation log while another checks the CRM requirements before triggering the sync. This consensus-driven approach prevents duplicate records and incomplete data from entering your CRM. By routing the ConnectAndSell tool call through a multi-agent debate, you ensure high-quality data governance.
Multi-Agent Performance Audits of Dialer Activity
The `get_performance_summary` tool provides the raw metrics that your AutoGen agents analyze to evaluate rep output. An analyst agent flags low connect rates while a manager agent drafts coaching points based on the summary. These agents collaborate to find bottlenecks in your outbound calling campaigns. Because they have direct access to the dialer metrics, their conclusions are always based on actual performance data.
Set up ConnectAndSell 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes ConnectAndSell tools and returns structured results.
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="ConnectAndSell_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent ConnectAndSell data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="ConnectAndSell_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent ConnectAndSell data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ConnectAndSell. 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 ConnectAndSell MCP in AutoGen
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