Salespanel MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Get Company, Get Contact Details, Get Segment, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Salespanel 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 Salespanel app connector for Vercel AI SDK is a standout in the Marketing Automation 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 Salespanel, 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 Salespanel MCP Server
Connect your Salespanel account to any AI agent and simplify your lead tracking, visitor intelligence, and marketing automation through natural conversation.
The Vercel AI SDK gives every Salespanel 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
- Contact Management — List all identified contacts and leads, retrieve detailed metadata, and monitor lead scores and status
- Visitor Intelligence — Access a list of recent anonymous and identified website visitors to understand your traffic
- Engagement tracking — Query tracking events and user actions to stay on top of your customer journey
- Activity Feeds — Monitor real-time activity feeds to see who is interacting with your content right now
- Segment Control — Query lead segments to choose the right context for each outreach and qualification step
The Salespanel 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 Salespanel tools available for Vercel AI SDK
When Vercel AI SDK connects to Salespanel through Vinkius, your AI agent gets direct access to every tool listed below — spanning visitor-intelligence, lead-tracking, data-enrichment, 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.
Get details for a specific company
Get details for a specific contact
Get details for a specific segment
Get details for a specific website visitor
List all tracked accounts
List activity feeds
List recent website visitors
List all identified companies
List Salespanel contacts
List tracking events
List lead segments
Connect Salespanel to Vercel AI SDK via MCP
Follow these steps to wire Salespanel 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 Salespanel MCP Server
Vercel AI SDK provides unique advantages when paired with Salespanel 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 Salespanel integration everywhere
Built-in streaming UI primitives let you display Salespanel 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
Salespanel + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Salespanel MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Salespanel in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Salespanel tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Salespanel capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Salespanel through natural language queries
Example Prompts for Salespanel in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Salespanel immediately.
"List all identified contacts in Salespanel."
"Show me the top website visitors from this week with their lead scores and company identification."
"Show me the visitor journey and all touchpoints for the Meridian Corp lead."
Troubleshooting Salespanel MCP Server with Vercel AI SDK
Common issues when connecting Salespanel to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSalespanel + Vercel AI SDK FAQ
Common questions about integrating Salespanel 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.