Determ MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Determ 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 Determ, 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 Determ MCP Server
Integrate Determ (formerly Mediatoolkit), the powerful media monitoring and social listening platform, directly into your AI workflow. Track brand mentions across the web and social media, analyze sentiment trends, and monitor your competitive landscape using natural language.
The Vercel AI SDK gives every Determ tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Mention Monitoring — List and retrieve real-time media mentions for your keywords and topics from over 100 million sources.
- Sentiment Intelligence — Retrieve a breakdown of sentiment (positive, neutral, negative) for any of your monitoring queries.
- Query Management — List and review your configured monitoring queries and their specific settings.
- Analytics Reporting — Access metadata for your media monitoring and analytics reports directly via chat.
The Determ MCP Server exposes 10 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 Determ to Vercel AI SDK via MCP
Follow these steps to integrate the Determ 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 10 tools from Determ and passes them to the LLM
Why Use Vercel AI SDK with the Determ MCP Server
Vercel AI SDK provides unique advantages when paired with Determ 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 Determ integration everywhere
Built-in streaming UI primitives let you display Determ 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
Determ + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Determ MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Determ in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Determ tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Determ capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Determ through natural language queries
Determ MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Determ to Vercel AI SDK via MCP:
get_account_metadata
Retrieve settings and limits for your Determ account
get_mention_details
Get full content and technical metadata for a specific media mention
get_monitoring_query_details
Get detailed settings and status for a specific monitoring query
get_query_sentiment_summary
Retrieve a breakdown of sentiment (positive, neutral, negative) for a specific query
list_analytics_reports
List all available analytics and media monitoring reports
list_media_mentions
List recent media mentions for a specific monitoring query
list_monitoring_queries
List all media monitoring queries (keywords/topics) in your Determ account
list_recent_high_reach_mentions
List only the mentions with the highest estimated reach
list_top_media_sources
Identify the media sources with the highest volume of mentions (mock logic)
search_mentions_by_keyword
Search for specific keywords within the mentions of a monitoring query
Example Prompts for Determ in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Determ immediately.
"List my active monitoring queries."
"Show me the sentiment breakdown for the 'Main Competitor' query."
"What are the top media sources for 'Industry Trends'?"
Troubleshooting Determ MCP Server with Vercel AI SDK
Common issues when connecting Determ to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDeterm + Vercel AI SDK FAQ
Common questions about integrating Determ 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 Determ 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 Determ to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.