SigmaMind AI
Platform to build enterprise-ready voice/chat agents
4.9•14 reviews•327 followers
Platform to build enterprise-ready voice/chat agents
4.9•14 reviews•327 followers
SigmaMind AI is a YC-backed conversational AI platform that lets you build, test, and deploy voice, chat, and email agents for sales and customer service. Use our no-code builder to create complex multi-prompt AI agents, or integrate directly with APIs into your existing systems. With pre-built integrations and support for custom third-party tools, SigmaMind AI makes deploying conversational AI agents across industries fast and effortless.
This is the 3rd launch from SigmaMind AI. View more
SigmaMind MCP
Launching today
SigmaMind's MCP server exposes your entire voice AI stack as tools – agents, calls, campaigns, webhooks, phone numbers – manageable directly from your MCP client or IDE.
Spin up agents, trigger test calls, debug with inline call records, and automate deployments without leaving your editor.
Sub-800ms latency, SOTA noise cancellation, VAD, IVR navigation, and voicemail detection handled out of the box.
Free Options
Launch Team / Built With
SigmaMind AI
Hey 👋
We’re Ashish and Pratik, founders of SigmaMind AI.
After watching developers jump between dashboards, docs tabs, and their IDE just to configure a single voice agent - we knew the problem wasn't the technology. It was the workflow.
So we built SigmaMind MCP server.
Open Cursor, Claude Code, or VS Code. Type what you want:
"Build a customer support voice agent. GPT-4o. ElevenLabs, calm British female. Agent speaks first. Extract sentiment and escalation flags after every call."
That exact spec deploys. No dashboard opened. No context switching.
Here's what you're actually controlling from that one prompt:
→ LLM Model - GPT-4o, Claude, Gemini, or your own
→ Voice & TTS - pick the exact voice experience
→ Conversation Flow - who speaks first, how it behaves
→ Welcome Message - define the opening line
→ Background Audio - optional, on-brand
→ Post-Call Insights - sentiment, intent, escalation
Every layer configurable. All from natural language.
And telephony is built in - buy numbers or bring your own, assign to agents instantly, run real calls not simulations.
Under the hood:
→ Sub-800ms latency
→ IVR and phone trees navigation
→ Built-in VAD (Voice activity detection)
→ Noise cancellation for noisy background environments
→ Model-agnostic (Deepgram, GPT, ElevenLabs, or your own stack)
→ Multimodal (voice, chat, email - one agent brain)
→ Parallel tool calling for real-world actions
Set up in under 5 minutes: https://docs.sigmamind.ai/mcp/se...