How to Use the Freshchat MCP in OpenAI Agents SDK

Q: Does this MCP Server for Freshchat support agent handoffs in OpenAI Agents SDK?

It does. By using listsupportagents, your agent finds available humans. It then passes the necessary context to them, ensuring a smooth transition.

Connect your OpenAI Agents SDK to Freshchat for real-time customer support automation and secure agent handoffs.

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Connect Freshchat MCP to OpenAI Agents SDK

Create your Vinkius account to connect Freshchat to OpenAI Agents SDK 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 Freshchat with OpenAI Agents SDK

Ask AI about this MCP

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Claude

Perplexity

Automated conversation management

Your agent pulls active tickets directly using `list_conversations`. It processes history with `list_chat_messages` to understand the customer's issue before you even open the dashboard. Everything stays within your OpenAI Agents SDK guardrails. The agent summarizes the history and prepares a response, saving your team from manual digging.

Direct agent and user routing

Use `list_support_agents` and `list_agent_groups` to find the right person for a complex ticket. The agent identifies the correct team based on the conversation context and routes the issue accordingly. Your agent verifies user identity via `search_chat_users` to ensure the right account gets the update. It handles the metadata lookup so your support staff stays focused on high-value interactions.

Real-time communication tools

Post updates instantly using `send_chat_message` triggered by your agent's logic. It keeps the conversation moving without waiting for human intervention on every reply. This MCP Server provides the exact hooks needed for your agent to function. You get full visibility into the execution flow through your OpenAI dashboard, ensuring every action is tracked.

Setup guide

Set up Freshchat MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Freshchat tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Freshchat tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Freshchat tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Freshchat Agent",
            instructions="You have access to Freshchat tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Why Choose Vinkius

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Freshchat MCP in OpenAI Agents SDK

You instantiate the MCPServerStreamableHttp class and pass it into your agent constructor. It handles the connection so your tools are discovered automatically.

Yes. Your agent uses built-in guardrails to check every action. It validates the output of tools like `get_conversation_details` before executing any follow-up.

It does. By using `list_support_agents`, your agent finds available humans. It then passes the necessary context to them, ensuring a smooth transition.

Setting cacheToolsList to True improves performance. It prevents the agent from re-fetching the tool definitions on every turn.

It accesses chat transcripts, user profiles, and agent metadata. Your security configuration restricts these specific fields to prevent unauthorized access.

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