Emplifi 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 Emplifi 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 Emplifi, 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 Emplifi MCP Server
Integrate Emplifi, the unified customer experience (CX) platform, directly into your AI workflow. Manage your social media profiles across platforms, track real-time post engagement and performance metrics, monitor social listening dashboards and influencer impact, and oversee your customer care automation using natural language.
The Vercel AI SDK gives every Emplifi 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
- Social Profile Oversight — List and retrieve detailed information for all your managed social media accounts and profiles.
- Performance Intelligence — Monitor social post metrics, resolving impressions, engagement rates, and platform-specific reactions.
- CX Automation Management — Access and monitor customer care automation rules and workflows, tracking active statuses and triggers.
- Experience Auditing — Retrieve high-level summaries of social performance, listening trends, and organizational CX health instantly.
The Emplifi 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 Emplifi to Vercel AI SDK via MCP
Follow these steps to integrate the Emplifi 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 Emplifi and passes them to the LLM
Why Use Vercel AI SDK with the Emplifi MCP Server
Vercel AI SDK provides unique advantages when paired with Emplifi 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 Emplifi integration everywhere
Built-in streaming UI primitives let you display Emplifi 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
Emplifi + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Emplifi MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Emplifi in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Emplifi tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Emplifi capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Emplifi through natural language queries
Emplifi MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Emplifi to Vercel AI SDK via MCP:
get_emplifi_account_metadata
Retrieve metadata and limits for your Emplifi account
get_influencer_performance_stats
Get performance metrics for a specific influencer/creator
get_social_post_metrics
Get engagement and performance metrics for a specific social post
list_care_automation_rules
List all customer care automation rules and workflows
list_content_classification_labels
List all labels used for content classification and reporting
list_listening_dashboards
List all social listening dashboards and topics
list_organization_team_members
List all team members and their roles in the organization
list_social_posts
List recent social media posts for a specific profile
list_social_profiles
List all social media profiles managed in your Emplifi account
quick_cx_health_audit
Retrieve a high-level summary of social performance and care automation
Example Prompts for Emplifi in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Emplifi immediately.
"List all managed social media profiles."
"Show me metrics for social post ID 'POST-12345'."
"Check active customer care automation rules."
Troubleshooting Emplifi MCP Server with Vercel AI SDK
Common issues when connecting Emplifi to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEmplifi + Vercel AI SDK FAQ
Common questions about integrating Emplifi 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 Emplifi 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 Emplifi to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.