Bring Voice Agents
to Mastra AI
Learn how to connect SigmaMind AI to Mastra AI 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 Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and SigmaMind AI tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add SigmaMind AI without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every SigmaMind AI tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
SigmaMind AI in Mastra AI
SigmaMind AI and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect SigmaMind AI to Mastra AI 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 Mastra AI
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 Mastra AI 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 Mastra AI
Every tool call from Mastra AI 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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
