Hive AI 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 Hive AI 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 Hive AI, 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 Hive AI MCP Server
Connect your Hive AI moderation account to any AI agent and take full control of your content safety and compliance workflows through natural conversation.
The Vercel AI SDK gives every Hive AI 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
- Real-time Moderation — Perform synchronous moderation for text and images to filter hate speech, violence, and NSFW content instantly.
- AI Content Detection — Identify if text, images, or audio were created using generative AI models like GPT-4, Midjourney, or DALL-E.
- Asynchronous Processing — Submits large video and audio files for deep moderation and speech-to-text analysis.
- Task Monitoring — Track the status and retrieve results for background moderation tasks using unique task IDs.
- Model Insights — List available Hive AI models and retrieve project-specific configurations for both visual and text projects.
- Compliance Oversight — Access detailed moderation scores and classes to ensure your platform remains safe and professional.
The Hive AI 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 Hive AI to Vercel AI SDK via MCP
Follow these steps to integrate the Hive AI 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 Hive AI and passes them to the LLM
Why Use Vercel AI SDK with the Hive AI MCP Server
Vercel AI SDK provides unique advantages when paired with Hive AI 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 Hive AI integration everywhere
Built-in streaming UI primitives let you display Hive AI 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
Hive AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Hive AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Hive AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Hive AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Hive AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Hive AI through natural language queries
Hive AI MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Hive AI to Vercel AI SDK via MCP:
detect_ai_generated_image
Identify if an image was created using generative AI (e.g., Midjourney, DALL-E)
detect_ai_generated_text
Detect if a block of text was generated by an AI model (e.g., GPT-4)
get_async_task_result
Retrieve the final moderation results for a completed task
get_async_task_status
Use the task ID returned when the task was created. Check the status of an asynchronous moderation task
get_project_details
Retrieve information and configuration for your Hive AI project
list_available_models
List all Hive AI models available for your project
moderate_audio_async
Returns a task ID. Start an asynchronous moderation task for an audio file
moderate_image
Provide a publicly accessible URL. Perform real-time image moderation using a URL
moderate_text
Use this to verify user-generated content before publication. Perform real-time text moderation for safety and compliance
moderate_video_async
Returns a task ID for later status checking. Start an asynchronous moderation task for a video file
Example Prompts for Hive AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Hive AI immediately.
"Moderate this text for safety: 'I will destroy everything you love.'"
"Check if this image was created by AI: 'https://example.com/art.jpg'."
"Start a moderation task for this video: 'https://example.com/upload.mp4'."
Troubleshooting Hive AI MCP Server with Vercel AI SDK
Common issues when connecting Hive AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHive AI + Vercel AI SDK FAQ
Common questions about integrating Hive AI 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 Hive AI 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 Hive AI to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.