Freshservice MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Freshservice through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Freshservice Assistant",
instructions=(
"You help users interact with Freshservice. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Freshservice"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Freshservice MCP Server
Connect your Freshservice instance to any AI agent to automate your IT Service Management (ITSM) operations through the Model Context Protocol (MCP). Freshservice is an intelligent, right-sized ITSM solution that empowers enterprises to modernize IT and other business functions. This MCP server enables you to track IT tickets, manage your CMDB asset inventory, and retrieve detailed requester profiles directly through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Freshservice through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Freshservice, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Ticket Orchestration — List all service desk tickets, fetch detailed metadata including priority and status, and open new IT incidents instantly.
- Asset Management (CMDB) — Access your IT hardware and software asset inventory to maintain full context of your infrastructure.
- Workforce Insights — List all IT agents and requesters (employees) to understand workloads and verify contact details.
- Change & Problem Tracking — Monitor change requests and problem records to ensure IT stability and compliance.
- Release Management — Access IT release records to coordinate software deployments effectively.
- Department Oversight — List company departments configured in the ITSM platform to optimize ticket routing.
- Real-time Synchronization — Keep your IT operations data accessible to your AI assistant without leaving your primary workspace.
The Freshservice MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Freshservice to OpenAI Agents SDK via MCP
Follow these steps to integrate the Freshservice MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Freshservice
Why Use OpenAI Agents SDK with the Freshservice MCP Server
OpenAI Agents SDK provides unique advantages when paired with Freshservice through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Freshservice + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Freshservice MCP Server delivers measurable value.
Automated workflows: build agents that query Freshservice, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Freshservice, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Freshservice tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Freshservice to resolve tickets, look up records, and update statuses without human intervention
Freshservice MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Freshservice to OpenAI Agents SDK via MCP:
check_itsm_status
Verify helpdesk status
create_itsm_ticket
Open an IT ticket
get_asset_details
Get asset metadata
get_requester_details
Get user metadata
get_ticket_details
Get ticket metadata
list_change_requests
List IT changes
list_it_assets
List IT assets
list_it_problems
List problem records
list_it_releases
List release records
list_itsm_tickets
List IT tickets
list_requesters
List end-users
list_support_agents
List IT agents
Example Prompts for Freshservice in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Freshservice immediately.
"List all active IT tickets in my service desk."
"Show me the details for requester 'Jane Smith'."
"Create a new IT ticket: 'Printer Not Working' from 'johndoe@email.com'."
Troubleshooting Freshservice MCP Server with OpenAI Agents SDK
Common issues when connecting Freshservice to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Freshservice + OpenAI Agents SDK FAQ
Common questions about integrating Freshservice MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Freshservice with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Freshservice to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
