Freshworks MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Freshworks through the 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="Freshworks Assistant",
instructions=(
"You help users interact with Freshworks. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Freshworks"
)
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 Freshworks MCP Server
Connect your Freshworks account to any AI agent and take full control of your unified sales CRM and customer support workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 9 tools from Freshworks through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Freshworks, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Unified Ticket Orchestration — Retrieve the global array of all active helpdesk tickets and fetch sub-entry details to view full customer interactions natively
- Sales Pipeline Auditing — Extract explicit Deal pipeline records tracking ongoing sales cycles and revenue forecasts inside the Freshworks CRM
- Account & Company Management — Identify and manage hierarchical organization records, binding multiple contacts and verifying sales accounts limitlessly
- CRM Contact Oversight — Enumerate end-users recorded in the Sales CRM partition and retrieve their profiles and historical interaction metadata synchronousy
- Helpdesk Contact Navigation — List official support contacts registered in the Helpdesk partition, linking service histories and previous ticket profiles flawlessy
- Agent & Group Management — Identify connected support agents and audit agent grouping configurations handling specific support queues securely
- Sales Intelligence — Retrieve detailed metrics for sales accounts and deals to monitor your business growth and customer lifecycle stages natively
The Freshworks MCP Server exposes 9 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 Freshworks to OpenAI Agents SDK via MCP
Follow these steps to integrate the Freshworks 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 9 tools from Freshworks
Why Use OpenAI Agents SDK with the Freshworks MCP Server
OpenAI Agents SDK provides unique advantages when paired with Freshworks 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
Freshworks + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Freshworks MCP Server delivers measurable value.
Automated workflows: build agents that query Freshworks, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Freshworks, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Freshworks tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Freshworks to resolve tickets, look up records, and update statuses without human intervention
Freshworks MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Freshworks to OpenAI Agents SDK via MCP:
get_ticket
Get ticket details
list_accounts
List all sales accounts
list_agents
List all support agents
list_companies
List all companies
list_crm_contacts
List CRM contacts
list_deals
List all sales deals
list_groups
List all agent groups
list_helpdesk_contacts
List helpdesk contacts
list_tickets
List all helpdesk tickets
Example Prompts for Freshworks in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Freshworks immediately.
"Show me my active sales deals in Freshworks"
"List the last 3 support tickets"
"Find CRM contact 'John Smith'"
Troubleshooting Freshworks MCP Server with OpenAI Agents SDK
Common issues when connecting Freshworks to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Freshworks + OpenAI Agents SDK FAQ
Common questions about integrating Freshworks 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 Freshworks 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 Freshworks to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
