How to Use the HelpCrunch MCP in AutoGen

Q: How do I register HelpCrunch tools in AutoGen?

Use mcpservertools with StreamableHttpServerParams pointing to your MCP endpoint URL. Pass the returned list into your AssistantAgent constructor.

Q: Can AutoGen agents read HelpCrunch chat messages?

They can call listmessagesinchat to ingest the full thread. Multiple agents can then review the transcript simultaneously to determine the best response.

Q: Can agents view our webhook settings?

The listactivewebhooks tool exposes this data. A security-focused agent can review these endpoints to ensure data is routing correctly.

Deploy debating AutoGen agents that analyze HelpCrunch tickets, negotiate priorities, and trigger MCP resolutions.

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Connect HelpCrunch MCP to AutoGen

Create your Vinkius account to connect HelpCrunch 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.

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Setup HelpCrunch with AutoGen

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Negotiate ticket triage

The `list_conversations` tool feeds the active queue to your AutoGen agents. A triage agent pulls the backlog, while a priority agent argues about which tickets need immediate attention based on sentiment. They debate the urgency before taking any action. Once they reach consensus, they use `get_conversation_details` to pull the full context. You get a system where multiple AI personas cross-check each other, drastically reducing the chance of an angry customer getting an automated, tone-deaf response.

Coordinate agent assignments via MCP Server

The `list_team_agents` tool gives your AI squad a complete roster of human staff. An escalation agent checks who is online, while a routing agent cross-references that with `list_departments`. They figure out the exact right person for a complex billing dispute. If the bots decide they can handle it themselves, one of them calls `send_chat_message`. The framework logs the entire internal debate, so your human managers can see exactly why the agents chose to reply instead of escalating.

Audit customer history collaboratively

The `search_customers` tool lets your investigation agent dig up past interactions. If a user demands a refund, the investigation agent pulls their profile while a policy agent checks the rules. They bounce facts off each other. After concluding the audit, they execute `update_conversation_status` to close the loop. The system marks the chat as resolved only when both the investigator and the policy enforcer agree the criteria are met.

Setup guide

Set up HelpCrunch 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes HelpCrunch tools and returns structured results.

agent.py

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="HelpCrunch_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent HelpCrunch data")
print(result.messages[-1].content)

Get your connection token →

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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="HelpCrunch_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent HelpCrunch data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HelpCrunch. 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 HelpCrunch MCP in AutoGen

Use `mcp_server_tools` with `StreamableHttpServerParams` pointing to your MCP endpoint URL. Pass the returned list into your `AssistantAgent` constructor.

They can call `list_messages_in_chat` to ingest the full thread. Multiple agents can then review the transcript simultaneously to determine the best response.

One agent generates the required email and name payload. It then calls `create_customer` to push the new record into your database.

The `list_active_webhooks` tool exposes this data. A security-focused agent can review these endpoints to ensure data is routing correctly.

Your agents handle sensitive email addresses and raw message strings. Vinkius secures this MCP connection by wrapping the server in an isolated sandbox, dropping the session the second the multi-agent negotiation finishes.

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