Thoughtly MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Contact, Delete Contact, Get Call History, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Thoughtly 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 Thoughtly app connector for Vercel AI SDK is a standout in the Communication category — giving your AI agent 11 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 Thoughtly, 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 Thoughtly MCP Server
Connect your Thoughtly voice AI platform to any text-based AI agent to seamlessly bridge the gap between text commands and real-world phone calls.
The Vercel AI SDK gives every Thoughtly tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Trigger Phone Calls — Instantly instruct your AI Voice Agents (Interviews) to dial any contact and execute conversational phone workflows
- Contact Management — Query your Thoughtly CRM directory, register new leads with phone numbers, and manage their details
- Call Logs & Transcripts — Retrieve detailed call histories, metadata, and full transcripts of conversations conducted by your voice agents
- Agent Fleet Control — List and inspect all your active AI Voice Agents to deploy the right persona for each outbound campaign
The Thoughtly MCP Server exposes 11 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 11 Thoughtly tools available for Vercel AI SDK
When Vercel AI SDK connects to Thoughtly through Vinkius, your AI agent gets direct access to every tool listed below — spanning voice-ai, agents, crm, 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.
Optionally includes first name, last name, email. Create a new Thoughtly contact
Delete a Thoughtly contact
Get details and transcript for a specific call
Get specific Thoughtly contact details
Get details for a specific Thoughtly Voice Agent
Get Thoughtly user details
List past phone calls (Call logs)
List Thoughtly contacts
List Thoughtly Voice Agents (Interviews)
Trigger an AI outbound phone call
Update an existing Thoughtly contact
Connect Thoughtly to Vercel AI SDK via MCP
Follow these steps to wire Thoughtly 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 Thoughtly MCP Server
Vercel AI SDK provides unique advantages when paired with Thoughtly 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 Thoughtly integration everywhere
Built-in streaming UI primitives let you display Thoughtly 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
Thoughtly + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Thoughtly MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Thoughtly in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Thoughtly tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Thoughtly capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Thoughtly through natural language queries
Example Prompts for Thoughtly in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Thoughtly immediately.
"List all my available Voice Agents in Thoughtly."
"Create a new contact with the phone number +1234567890 and tell the Sales SDR Voice Agent to call them."
"Get the call transcript for the latest interaction with Call ID CAL-554."
Troubleshooting Thoughtly MCP Server with Vercel AI SDK
Common issues when connecting Thoughtly to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpThoughtly + Vercel AI SDK FAQ
Common questions about integrating Thoughtly 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.