How to Use the FeedBlitz MCP in AutoGen
Deploy multi-agent AutoGen teams to debate and manage your FeedBlitz marketing campaigns.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FeedBlitz MCP to AutoGen
Create your Vinkius account to connect FeedBlitz 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.
Let AutoGen agents debate FeedBlitz list hygiene
The `remove_subscriber` tool allows your AutoGen agents to execute list cleanups after debating the risk of churn. One agent can argue for removing an inactive address, while another checks the subscriber's history before executing the tool. This collaborative AutoGen approach prevents accidental unsubscribes on your FeedBlitz lists. By requiring consensus before running the tool, your system maintains list quality without human intervention.
Coordinate FeedBlitz syndications via AutoGen
The `list_syndications` tool gives your AutoGen agent team a clear view of your active FeedBlitz RSS feeds. A coordinator agent can assign specific feeds to sub-agents, who then monitor delivery performance individually. The AutoGen agents can use `get_syndication` to pull detailed settings and discuss optimizations. This multi-agent structure distributes the workload, making it easy to manage dozens of feeds simultaneously.
Run consensus-driven audits with this MCP Server
The `list_metrics` tool feeds raw FeedBlitz campaign performance data into your AutoGen discussion loops. A copywriter agent and an analyst agent can debate why a specific newsletter underperformed based on the returned numbers. Once they reach a consensus, your AutoGen agents can recommend changes or use `add_subscriber` to test a new internal segment. This makes your newsletter optimization process analytical and automated.
Set up FeedBlitz 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 FeedBlitz 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="FeedBlitz_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent FeedBlitz 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="FeedBlitz_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent FeedBlitz 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 FeedBlitz. 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 FeedBlitz MCP in AutoGen
Use it with your favorite AI tools
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