How to Use the Guerrilla Marketing MCP in AutoGen
Let your AutoGen agents debate and optimize zero-budget guerrilla tactics using our secure MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Guerrilla Marketing MCP to AutoGen
Create your Vinkius account to connect Guerrilla Marketing 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 zero-budget tactics via AutoGen
The `validate_guerrilla_tactic` tool gives your AutoGen agents a shared, objective yardstick to debate whether a marketing stunt is truly free. By integrating this MCP Server, your finance agent and creative agent can easily verify zero-dollar spend. If the creative agent proposes a stunt with hidden costs, the finance agent uses the tool's output to reject the play. This multi-agent friction ensures your AutoGen group only approves realistic, sweat-equity campaigns.
Reach consensus on guerrilla risks
The `validate_guerrilla_tactic` tool provides a structured risk assessment that your AutoGen agents use to negotiate legal boundaries. A legal agent can challenge a marketing agent's aggressive ambush timing by pointing to the tool's risk flags. The agents continue their conversation, adjusting the execution details until the tool returns a safe score. This conversational loop removes the risk of launching a stunt that violates platform terms of service.
Map attribution paths collaboratively
The `validate_guerrilla_tactic` tool forces your AutoGen agents to trace every proposed stunt back to a concrete revenue event. Your performance agent can cross-examine the creative agent's viral mechanism using the attribution metrics returned by the tool. This collaborative review prevents your team of agents from approving empty vanity campaigns. By requiring a consensus on the attribution path, AutoGen ensures every approved stunt has a direct line to acquisition.
Set up Guerrilla Marketing 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 Guerrilla Marketing 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="Guerrilla Marketing_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Guerrilla Marketing 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="Guerrilla Marketing_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Guerrilla Marketing 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 Guerrilla Marketing. 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 Guerrilla Marketing MCP in AutoGen
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