SigmaMind MCP - Build and control voice AI agents via MCP
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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.
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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...
i can direct claude code to an existing open source github repo and build voice agent for me with VAD / sub 800ms latency etc ? I understand this may consume more tokens. How is this MCP diff ?
SigmaMind AI
@raj_peko with this MCP you get access to SigmaMind's voice infrastructure which handles - VAD, noise cancellation, latency, IVR navigation etc. out of the box. You can absolutely use open source repos to build voice agents, but with voice matters, it's the 'wiring' that matters a lot. When you scale it up to over millions of calls, most of them being highly concurrent calls, this may present issues. This MCP just provides a ready-to-deploy voice infrastructure as opposed to developers needing to wire everything together.
MCP for voice agents makes sense. wiring voice into an agent stack always gets messy - nice that this abstracts it.
SigmaMind AI
@mykola_kondratiuk1 Thanks! The goal was to make the stack invisible, so you're thinking about what the agent does, not how it's plumbed together.
SigmaMind AI
So proud of the team for getting the SigmaMind MCP Server live today!
I’ve seen how much effort went into making sure this wasn't just another 'cool tool' but a production-grade orchestration layer.
My favorite part? Being able to create and manage a Voice AI agent, all from a simple prompt, without leaving Cursor. It feels like magic every time.
We’re all hanging out here today to answer questions and get your feedback.
Klariqo AI Voice Assistants
This is so cool. Running a VOICE AI company this is really good stuff. Congrats on the launch
SigmaMind AI
@ansh_deb thanks for the support!
In my project I need Portuguese, do you support it?
SigmaMind AI
@natalia_iankovych yes we do support it. In the agent builder, you can select Portuguese as the language and make sure you select the right voice from different voices available on the platform, and you should be good to go!
Middleware
Hey,
I think this was one of the most awaited features
Now with MCP in place, I can do a lot more things with the flexibility.
I appreciate the pace at which updates are coming in.
Kudos to the whole team.
SigmaMind AI
@bhogayatakb Thank you!
PandaProbe
This looks super clean... managing everything from the IDE is a big win. Curious to try it out.
SigmaMind AI
@sina_tayebati would love to get your feedback - our docs here: https://docs.sigmamind.ai
RiteKit Company Logo API
Congratulations on the launch! This is impressive. I'm curious about the multi-prompt agent architecture - how do you handle context switching when an agent needs to route between sales, support, and email simultaneously? Does it maintain conversation state across channels, or does each channel operate independently? Would love to hear more about how you're handling those handoffs.