Crisp MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Get Conversation, Get Messages, Get Visitor Profile, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Crisp 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 Crisp app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 6 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 Crisp, 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 Crisp MCP Server
Connect your Crisp account to any AI agent and take full control of your multi-channel customer support and visitor engagement workflows through natural conversation.
The Vercel AI SDK gives every Crisp tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Conversation Orchestration — List and manage active chat and email support sessions programmatically, including monitoring unread counts and conversation status in real-time
- Automated Messaging — Programmatically dispatch text messages to active sessions to coordinate immediate customer assistance and engagement
- Thread Intelligence — Access complete message histories for any session to provide high-fidelity context for your support and marketing responses
- Visitor Lifecycle — Retrieve detailed visitor profiles and people records to maintain a perfectly coordinated relationship history
- Operational Monitoring — Access real-time website traffic metrics and support volume summaries directly through your agent for instant CX reporting
The Crisp MCP Server exposes 6 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 6 Crisp tools available for Vercel AI SDK
When Vercel AI SDK connects to Crisp through Vinkius, your AI agent gets direct access to every tool listed below — spanning crisp, live-chat-api, omnichannel-support, 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 conversation details
List messages in a conversation
Get visitor profile details
List all website conversations
List all website visitors/people
Pass data as a JSON string. Send a message to a conversation
Connect Crisp to Vercel AI SDK via MCP
Follow these steps to wire Crisp 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 Crisp MCP Server
Vercel AI SDK provides unique advantages when paired with Crisp 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 Crisp integration everywhere
Built-in streaming UI primitives let you display Crisp 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
Crisp + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Crisp MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Crisp in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Crisp tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Crisp capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Crisp through natural language queries
Example Prompts for Crisp in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Crisp immediately.
"List all active conversations on my website."
"Show the transcript for chat session 'sess_123'."
"Find the visitor profile for 'jane@example.com'."
Troubleshooting Crisp MCP Server with Vercel AI SDK
Common issues when connecting Crisp to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCrisp + Vercel AI SDK FAQ
Common questions about integrating Crisp 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.