SigmaMind AI MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Check Sigmamind Status, Create Agent, Create Call, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect SigmaMind AI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The SigmaMind AI app connector for OpenAI Agents SDK is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="SigmaMind AI Assistant",
instructions=(
"You help users interact with SigmaMind AI. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from SigmaMind AI"
)
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 SigmaMind AI MCP Server
Connect your SigmaMind account to any AI agent and manage AI voice workflows.
The OpenAI Agents SDK auto-discovers all 10 tools from SigmaMind AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries SigmaMind AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Call Management — List calls, initiate new calls, and check status
- Agent Configuration — Create and inspect AI voice agents with custom prompts
- Transcript Access — Retrieve full conversation transcripts for completed calls
- Call Analysis — Get AI-generated sentiment and topic analysis
- Phone Numbers — View assigned phone numbers
- Health Check — Verify API connectivity
The SigmaMind AI 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.
All 10 SigmaMind AI tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to SigmaMind AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning voice-agents, call-automation, sentiment-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify API connectivity
Create a voice agent
Initiate a voice call
Get agent details
Get call details
Get call analysis
Get call transcript
List all agents
List all calls
List phone numbers
Connect SigmaMind AI to OpenAI Agents SDK via MCP
Follow these steps to wire SigmaMind AI into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the SigmaMind AI MCP Server
OpenAI Agents SDK provides unique advantages when paired with SigmaMind AI 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
SigmaMind AI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the SigmaMind AI MCP Server delivers measurable value.
Automated workflows: build agents that query SigmaMind AI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries SigmaMind AI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through SigmaMind AI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query SigmaMind AI to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for SigmaMind AI in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with SigmaMind AI immediately.
"List all my AI voice agents."
"Call +14155551234 with agent 'Sales Qualifier'."
"Show transcript for call call_8291."
Troubleshooting SigmaMind AI MCP Server with OpenAI Agents SDK
Common issues when connecting SigmaMind AI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
SigmaMind AI + OpenAI Agents SDK FAQ
Common questions about integrating SigmaMind AI 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.