How to Use the Jitbit MCP in AutoGen
Let your AutoGen agents debate and resolve Jitbit tickets together using consensus-driven workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Jitbit MCP to AutoGen
Create your Vinkius account to connect Jitbit 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.
Coordinate AutoGen agents to manage Jitbit tickets
`list_tickets` acts as the shared inbox where your AutoGen agents fetch incoming support work. One coordinator agent reads the list, while a specialist agent analyzes the contents of specific issues. They discuss which tickets need immediate attention before executing any updates. This team-based approach prevents single-agent errors. Your agents debate the priority level of each ticket, ensuring critical issues get handled first.
Validate ticket categories via agent consensus
`list_ticket_categories` provides the classification taxonomy your helpdesk relies on, exposed via this MCP Server. When a new issue arrives, your triage agent selects a category, while a supervisor agent reviews that choice for accuracy. They must agree on the classification before calling `create_support_ticket`. This dual-agent validation eliminates miscategorized tickets. Your support pipeline maintains clean data, which keeps your human agents from having to manually re-route tickets later.
Resolve complex tickets using multiple MCP Server tools
`get_ticket_details` pulls the complete history of a specific ticket for your agent team to analyze. A research agent uses `list_kb_articles` to find matching solutions, while a customer agent uses `list_account_users` to check the user's account status. Together, they construct a response that accounts for both technical accuracy and customer tier. The agents negotiate the final draft in their group chat. Once they reach consensus, the system logs the resolution details back to your helpdesk.
Set up Jitbit 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 Jitbit 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="Jitbit_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Jitbit 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="Jitbit_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Jitbit 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 Jitbit. 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 Jitbit MCP in AutoGen
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