Bring Voice Agents
to Vercel AI SDK
Learn how to connect SigmaMind AI to Vercel AI 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 Vercel AI SDK?
The Vercel AI SDK gives every SigmaMind AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same SigmaMind AI integration everywhere
- —
Built-in streaming UI primitives let you display SigmaMind AI tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
SigmaMind AI in Vercel AI SDK
SigmaMind AI and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect SigmaMind AI to Vercel AI 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 Vercel AI 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 Vercel AI 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 Vercel AI SDK
Every tool call from Vercel AI 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 Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
