Lucidya MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Lucidya through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Lucidya, 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 Lucidya MCP Server
Connect your Lucidya account to any AI agent to automate your social listening and customer engineering intelligence. This MCP server enables your agent to list monitors, analyze text sentiment using advanced AI, and retrieve unified customer profiles directly from natural language interfaces.
The Vercel AI SDK gives every Lucidya tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Social Listening — List all active and inactive monitors across Twitter, Instagram, and other sources
- AI Analysis — Perform advanced sentiment analysis and Arabic dialect detection on any text string
- CDP Access — Retrieve unified customer profiles and interaction histories from the Lucidya Customer Data Platform
- Service Analytics — Query KPIs and performance metrics for customer service via the OmniServe API
- Real-time Monitoring — Fetch complete metadata and status for your configured listening monitors
The Lucidya MCP Server exposes 7 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.
How to Connect Lucidya to Vercel AI SDK via MCP
Follow these steps to integrate the Lucidya MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 7 tools from Lucidya and passes them to the LLM
Why Use Vercel AI SDK with the Lucidya MCP Server
Vercel AI SDK provides unique advantages when paired with Lucidya 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 Lucidya integration everywhere
Built-in streaming UI primitives let you display Lucidya 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
Lucidya + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Lucidya MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Lucidya in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Lucidya tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Lucidya capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Lucidya through natural language queries
Lucidya MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Lucidya to Vercel AI SDK via MCP:
analyze_text_sentiment
Analyze the sentiment of a given text
detect_arabic_dialect
Detect the specific Arabic dialect of a text
get_customer_profile
Get complete details for a customer profile
get_monitor_details
Get details for a specific monitor
get_omniserve_analytics
Query customer service analytics KPIs
list_cdp_customers
List customer profiles from CDP
list_social_monitors
List all social media monitors
Example Prompts for Lucidya in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Lucidya immediately.
"List all my social media monitors in Lucidya."
"Analyze the sentiment of this text: 'I am extremely happy with the new product release!'."
"Show the customer profile for ID 'cust-123' in the Lucidya CDP."
Troubleshooting Lucidya MCP Server with Vercel AI SDK
Common issues when connecting Lucidya to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLucidya + Vercel AI SDK FAQ
Common questions about integrating Lucidya 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.Connect Lucidya with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lucidya to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.