Mention 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 Mention 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 Mention, 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 Mention MCP Server
Connect your Mention account to any AI agent and take full control of your social monitoring and brand alerts through natural conversation.
The Vercel AI SDK gives every Mention 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
- Alert Management — List all active monitoring alerts and fetch detailed configuration metadata
- Mention Tracking — Retrieve recent social media mentions, filter for favorites, and search by text
- Deep Inspection — Fetch full content, metadata, and sentiment analysis for specific mentions
- Brand Analytics — Access volume and sentiment statistics for your monitoring alerts instantly
- Account Visibility — List authorized users and connected external social media accounts
The Mention 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 Mention to Vercel AI SDK via MCP
Follow these steps to integrate the Mention 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 Mention and passes them to the LLM
Why Use Vercel AI SDK with the Mention MCP Server
Vercel AI SDK provides unique advantages when paired with Mention 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 Mention integration everywhere
Built-in streaming UI primitives let you display Mention 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
Mention + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Mention MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Mention in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Mention tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Mention capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Mention through natural language queries
Mention MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Mention to Vercel AI SDK via MCP:
get_account_info
Get account information
get_alert
Get details for a specific alert
get_alert_statistics
Get statistics for an alert
get_mention_details
Get details for a specific mention
list_account_users
List users associated with the account
list_alerts
List all monitoring alerts
list_connected_external_accounts
) linked. List connected social accounts
list_favorite_mentions
List favorite mentions for an alert
list_mentions
List mentions for an alert
search_mentions
Search mentions by text
Example Prompts for Mention in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Mention immediately.
"List all active alerts in my Mention account."
"Search mentions for 'artificial intelligence' in alert ID 123."
"Show volume statistics for my primary brand alert."
Troubleshooting Mention MCP Server with Vercel AI SDK
Common issues when connecting Mention to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMention + Vercel AI SDK FAQ
Common questions about integrating Mention 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 Mention 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 Mention to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.