How to Use the Freshservice MCP in AutoGen
Build multi-agent consensus workflows for IT operations using AutoGen and the Freshservice MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Freshservice MCP to AutoGen
Create your Vinkius account to connect Freshservice 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.
Multi-Agent Ticket Triage (AutoGen)
With this MCP Server, `list_itsm_tickets` feeds new incidents into an AutoGen conversation where a triage agent and a security agent debate severity. The triage agent checks queue volume, while the security agent inspects the payload for potential system vulnerabilities. `create_itsm_ticket` logs the finalized incident once the agents agree on priority. This collaborative process ensures that high-risk tickets are flagged immediately without overwhelming your tier-one support staff.
Collaborative Asset and Agent Assignment
`list_support_agents` allows your AutoGen coordination agent to analyze current team availability. Analyzing their workloads first helps the agent assign tasks fairly. `get_asset_details` runs simultaneously to determine the complexity of the broken device. After reaching a consensus, the agents assign the ticket and update the record, keeping your resource management balanced.
Consensus-Driven Change Management
`list_change_requests` triggers a review process where a performance agent and a risk agent evaluate upcoming IT deployments. Past system failures retrieved via `list_it_problems` help the risk agent identify potential stability issues. `check_itsm_status` verifies system health before the agents authorize any deployment. If they find an ongoing outage, they log a detailed objection and run `create_itsm_ticket` to halt the deployment until a human manager reviews their debate.
Set up Freshservice 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 Freshservice 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="Freshservice_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Freshservice 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="Freshservice_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Freshservice 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 Freshservice. 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.
Why Choose Vinkius
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Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Freshservice MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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