How to Use the Helpjuice MCP in AutoGen
Run multi-agent debates in AutoGen to draft, review, and publish Helpjuice articles without human bottlenecks.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Helpjuice MCP to AutoGen
Create your Vinkius account to connect Helpjuice 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.
Deploy collaborative writer agents with this MCP Server
`create_article` allows an AutoGen writer agent to post new drafts directly to your knowledge base once a consensus is reached. Before publishing, a separate editor agent reviews the content for style and tone. These agents debate the accuracy of the draft within their conversation loop. Once the editor approves, the writer agent calls the tool to push the article live, ensuring only polished content gets published.
Build automated review boards in AutoGen
`get_article_details` pulls the complete body of any live article so your AutoGen review agents can analyze it for outdated information. A technical agent checks the steps against your latest API schemas. If the technical agent finds a discrepancy, it debates the fix with a support agent. Once they agree on the corrected steps, the support agent calls `update_article` to apply the changes immediately.
Analyze customer feedback using multi-agent logic
`get_article_stats` feeds engagement and rating data directly into an AutoGen analytics agent over MCP. This agent identifies pages with spikes in downvotes and alerts the team. The analytics agent collaborates with a writer agent to dissect why users are downvoting. They cross-reference `get_search_trends` to understand what users actually wanted, then rewrite the article to match expectations.
Set up Helpjuice 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 Helpjuice 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="Helpjuice_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Helpjuice 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="Helpjuice_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Helpjuice 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 Helpjuice. 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 Helpjuice MCP in AutoGen
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