How to Use the LeadsRx MCP in AutoGen
Let AutoGen agents debate your LeadsRx attribution data to reach consensus on your next marketing budget shift.
Works with every AI agent you already use
…and any MCP-compatible client
Connect LeadsRx MCP to AutoGen
Create your Vinkius account to connect LeadsRx 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.
Resolve agency performance debates in AutoGen
The `list_agencies` tool delivers performance data directly to your AutoGen agent group. One agent analyzes agency costs, another evaluates conversion rates, and they debate which partner delivers real value. By feeding this tool's output into the conversation, your agents reach a consensus backed by hard numbers. You get a clear, unbiased recommendation on contract renewals without manual spreadsheet analysis.
Track multi-touch attribution via agent consensus
The `get_touchpoint_details` tool provides the exact sequence of ad impressions that led to a sale. Your AutoGen analyst agent uses this data to argue for specific channel weights, while the budget agent defends cost constraints. They use `list_touchpoints` to review the entire journey before agreeing on an attribution model. This collaborative analysis prevents single-agent bias and ensures your budget shifts reflect actual customer behavior.
Verify conversion records across agents
The `get_conversion_details` tool verifies individual sales events to prevent duplicate reporting. In your AutoGen workflow, a QA agent checks these details against `list_conversions` to flag any data discrepancies. If a discrepancy is found, the agents pause the MCP pipeline and alert you with the exact transaction ID. This automated verification loop keeps your LeadsRx data clean and your marketing reports accurate.
Set up LeadsRx 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 LeadsRx 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="LeadsRx_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent LeadsRx 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="LeadsRx_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent LeadsRx 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 LeadsRx. 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 LeadsRx MCP in AutoGen
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