Dixa MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Dixa 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="Dixa Assistant",
instructions=(
"You help users interact with Dixa. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Dixa"
)
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 Dixa MCP Server
Integrate Dixa, the customer friendship platform, directly into your AI workflow. Manage your multi-channel support conversations, monitor agent presence and performance, track service queues, and oversee your support teams using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from Dixa through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dixa, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Conversation Oversight — List and retrieve detailed information for all customer conversations and their current processing status.
- Agent Intelligence — Monitor real-time agent presence, profile details, and team assignments across your organization.
- Queue Monitoring — Track active service queues and routing settings to ensure efficient support delivery.
- Team Management — List all support teams and identify members assigned to specific organizational units.
The Dixa MCP Server exposes 10 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 Dixa to OpenAI Agents SDK via MCP
Follow these steps to integrate the Dixa 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 10 tools from Dixa
Why Use OpenAI Agents SDK with the Dixa MCP Server
OpenAI Agents SDK provides unique advantages when paired with Dixa 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
Dixa + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Dixa MCP Server delivers measurable value.
Automated workflows: build agents that query Dixa, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Dixa, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Dixa tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Dixa to resolve tickets, look up records, and update statuses without human intervention
Dixa MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Dixa to OpenAI Agents SDK via MCP:
get_agent_profile
Get full profile and performance data for a specific agent
get_conversation_details
Get detailed information for a specific customer conversation
get_service_account_metadata
Retrieve metadata and usage limits for your Dixa account
list_customer_conversations
List all customer service conversations in your Dixa account
list_open_support_tickets
Identify conversations that are currently in an "Open" or "Unassigned" status
list_service_agents
List all support agents registered in your Dixa organization
list_service_queues
List all active service queues configured in Dixa
list_support_teams
List all configured support teams and their members
quick_agent_presence_audit
Retrieve a high-level summary of active agent presence statuses
search_conversations_by_subject
Search for conversations using a keyword in the subject
Example Prompts for Dixa in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Dixa immediately.
"List all open support conversations."
"Show me the details for conversation '12345'."
"Who is currently available in the 'Sales' team?"
Troubleshooting Dixa MCP Server with OpenAI Agents SDK
Common issues when connecting Dixa to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Dixa + OpenAI Agents SDK FAQ
Common questions about integrating Dixa 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 Dixa 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 Dixa to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
