SigmaMind AI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Sigmamind Status, Create Agent, Create Call, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect SigmaMind AI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The SigmaMind AI app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using SigmaMind AI, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
About SigmaMind AI MCP Server
Connect your SigmaMind account to any AI agent and manage AI voice workflows.
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.
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
The SigmaMind AI MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 SigmaMind AI tools available for Vercel AI SDK
When Vercel AI SDK connects to SigmaMind AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning voice-agents, call-automation, sentiment-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
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
Connect SigmaMind AI to Vercel AI SDK via MCP
Follow these steps to wire SigmaMind AI into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the SigmaMind AI MCP Server
Vercel AI SDK provides unique advantages when paired with SigmaMind AI through the Model Context Protocol.
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 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the SigmaMind AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query SigmaMind AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate SigmaMind AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed SigmaMind AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with SigmaMind AI through natural language queries
Example Prompts for SigmaMind AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with SigmaMind AI immediately.
"List all my AI voice agents."
"Call +14155551234 with agent 'Sales Qualifier'."
"Show transcript for call call_8291."
Troubleshooting SigmaMind AI MCP Server with Vercel AI SDK
Common issues when connecting SigmaMind AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSigmaMind AI + Vercel AI SDK FAQ
Common questions about integrating SigmaMind AI MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.