Freshchat 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 Freshchat 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="Freshchat Assistant",
instructions=(
"You help users interact with Freshchat. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Freshchat"
)
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 Freshchat MCP Server
Connect your Freshchat account to any AI agent to automate your customer messaging and conversation management through the Model Context Protocol (MCP). Freshchat is a modern messaging software built for sales and support teams to engage with customers across web, mobile, and social channels. This MCP server enables you to track active chats, send real-time messages, and retrieve detailed user profiles directly through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Freshchat through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Freshchat, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
Key Features
- Conversation Oversight — List all active chats, fetch detailed conversation metadata, and monitor chat statuses (open, resolved) instantly.
- Real-time Messaging — Post new messages to existing conversations to keep your support workflows moving fast.
- User & Customer Data — Access detailed profile information for chat participants and search for users by email address.
- Support Team Insights — List all support agents and team members to maintain full context of who is online and available.
- Channel & Group Management — Access configured messaging channels and agent groups to understand your routing logic.
- Message History — Retrieve the full message history for any specific conversation ID for audit and reporting.
- Multi-Region Support — Seamlessly connect to your specific Freshchat data center (US, EU, IN, AU).
The Freshchat 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 Freshchat to OpenAI Agents SDK via MCP
Follow these steps to integrate the Freshchat 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 Freshchat
Why Use OpenAI Agents SDK with the Freshchat MCP Server
OpenAI Agents SDK provides unique advantages when paired with Freshchat 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
Freshchat + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Freshchat MCP Server delivers measurable value.
Automated workflows: build agents that query Freshchat, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Freshchat, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Freshchat tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Freshchat to resolve tickets, look up records, and update statuses without human intervention
Freshchat MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Freshchat to OpenAI Agents SDK via MCP:
check_account_status
Verify account configuration
get_agent_profile
Get agent metadata
get_chat_user_details
Get user metadata
get_conversation_details
Get chat metadata
list_agent_groups
List agent groups
list_chat_channels
List chat channels
list_chat_messages
List messages in a chat
list_chat_users
List chat participants
list_conversations
List active chats
list_support_agents
List support agents
search_chat_users
Find user by email
send_chat_message
Post a new message
Example Prompts for Freshchat in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Freshchat immediately.
"List all open conversations in my Freshchat account."
"Find the Freshchat user with the email 'customer@example.com'."
"Send a message to conversation 'conv_987': 'I am looking into this for you'."
Troubleshooting Freshchat MCP Server with OpenAI Agents SDK
Common issues when connecting Freshchat to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Freshchat + OpenAI Agents SDK FAQ
Common questions about integrating Freshchat 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 Freshchat 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 Freshchat to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.