Modash MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Modash 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 Modash, 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 Modash MCP Server
Connect Modash to your AI agent to discover the perfect creators for your brand. Access a database of 350M+ influencers and get deep audience analytics through natural conversation.
The Vercel AI SDK gives every Modash tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Influencer Search — Find creators based on followers, engagement rate, and location across major platforms.
- Audience Analytics — Get detailed reports on audience demographics, location, and authenticity.
- Platform Coverage — Seamlessly switch between Instagram, TikTok, and YouTube research.
- Dictionary Access — Easily find IDs for locations, interests, and brands to refine your searches.
- Real-time Data — Fetch the latest metrics and posts directly from influencer profiles.
The Modash MCP Server exposes 11 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 Modash to Vercel AI SDK via MCP
Follow these steps to integrate the Modash 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 11 tools from Modash and passes them to the LLM
Why Use Vercel AI SDK with the Modash MCP Server
Vercel AI SDK provides unique advantages when paired with Modash 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 Modash integration everywhere
Built-in streaming UI primitives let you display Modash 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
Modash + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Modash MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Modash in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Modash tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Modash capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Modash through natural language queries
Modash MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Modash to Vercel AI SDK via MCP:
get_instagram_report
Get deep analytics for an Instagram profile
get_raw_profile
Get real-time, unfiltered profile data
get_tiktok_report
Get analytics for a TikTok profile
get_youtube_report
Get analytics for a YouTube channel
list_brands
Search for brand IDs
list_interests
Search for interest IDs
list_languages
Search for language IDs
list_locations
Search for location IDs
search_instagram
Search for Instagram influencers
search_tiktok
Search for TikTok influencers
search_youtube
Search for YouTube channels
Example Prompts for Modash in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Modash immediately.
"Search for Instagram influencers with 50k-100k followers in London."
"Get an audience report for the TikTok user @traveler_vlog."
"List all interest categories available for YouTube search."
Troubleshooting Modash MCP Server with Vercel AI SDK
Common issues when connecting Modash to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpModash + Vercel AI SDK FAQ
Common questions about integrating Modash 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 Modash 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 Modash to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.