Bring Voice Agents
to OpenAI Agents SDK
Learn how to connect SigmaMind AI to OpenAI Agents SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the SigmaMind AI MCP Server?
Connect your SigmaMind account to any AI agent and manage AI voice workflows.
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
Built-in capabilities (10)
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
Why OpenAI Agents SDK?
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.
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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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
SigmaMind AI in OpenAI Agents SDK
SigmaMind AI and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect SigmaMind AI to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for SigmaMind AI in OpenAI Agents SDK
The SigmaMind AI 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
SigmaMind AI for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the SigmaMind AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI initiate phone calls?
Yes. Use create_call with an agent ID and phone number. The AI agent handles the conversation automatically.
Can I read call transcripts?
Yes. get_call_transcript returns the full conversation for any completed call.
How do I create a new voice agent?
Use create_agent with a name and system prompt. The agent will use the prompt to guide conversations.
How does the OpenAI Agents SDK connect to MCP?
Use 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?
Yes. Pass a list of 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?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
