Dashly MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Get Conversation, Get User Details, List Channels, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Dashly 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 Dashly app connector for Vercel AI SDK is a standout in the Customer Support category — giving your AI agent 8 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 Dashly, 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 Dashly MCP Server
Connect your Dashly account to any AI agent and take full control of your conversational marketing and user tracking workflows through natural conversation.
The Vercel AI SDK gives every Dashly tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- User Lifecycle Orchestration — List and manage your entire high-fidelity user database programmatically, retrieving detailed profile metadata and custom property updates
- Conversational Intelligence — Query active chat sessions, retrieve high-fidelity message history, and send instant replies directly through your agent
- Event Tracking Architecture — Programmatically record custom user actions (e.g., 'Pricing Viewed') to maintain a perfectly coordinated audit trail of customer behavior
- Channel Optimization — Access your complete directory of communication channels to coordinate your engagement strategy across multiple touchpoints
- Operational Monitoring — Verify account-level API connectivity and monitor user activity trends directly through your agent for instant performance reporting
The Dashly MCP Server exposes 8 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 8 Dashly tools available for Vercel AI SDK
When Vercel AI SDK connects to Dashly through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversational-marketing, user-tracking, lead-nurturing, 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 conversation
Get details for a specific user
List communication channels
List recent conversations
List all Dashly users
Send a reply to a conversation
Set custom properties for a user
Track a custom event for a user
Connect Dashly to Vercel AI SDK via MCP
Follow these steps to wire Dashly 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 Dashly MCP Server
Vercel AI SDK provides unique advantages when paired with Dashly 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 Dashly integration everywhere
Built-in streaming UI primitives let you display Dashly 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
Dashly + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Dashly MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Dashly in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Dashly tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Dashly capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Dashly through natural language queries
Example Prompts for Dashly in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Dashly immediately.
"List all active chat conversations in my Dashly account."
"Track event 'Newsletter Signup' for user 'user_456'."
"Get the profile metadata for user ID 'user_789'."
Troubleshooting Dashly MCP Server with Vercel AI SDK
Common issues when connecting Dashly to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDashly + Vercel AI SDK FAQ
Common questions about integrating Dashly 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.