Keepcon MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Keepcon 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 Keepcon, 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 Keepcon MCP Server
Empower your AI agents to moderate user-generated content using Keepcon. This MCP server enables seamless integration with Keepcon's semantic moderation engine for both real-time and batch processing.
The Vercel AI SDK gives every Keepcon tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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 — Submit text for immediate moderation decisions (approve/reject) and category tagging
- Batch Processing — Import large volumes of content for asynchronous moderation and retrieve results in bulk
- Result Management — Export pending moderation decisions and acknowledge processed results to maintain a clean queue
- Feedback Loop — Submit feedback on moderation decisions to improve the accuracy of the semantic engine
- Profile Insight — List and query user profiles associated with moderated content
The Keepcon MCP Server exposes 9 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 Keepcon to Vercel AI SDK via MCP
Follow these steps to integrate the Keepcon 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 9 tools from Keepcon and passes them to the LLM
Why Use Vercel AI SDK with the Keepcon MCP Server
Vercel AI SDK provides unique advantages when paired with Keepcon 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 Keepcon integration everywhere
Built-in streaming UI primitives let you display Keepcon 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
Keepcon + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Keepcon MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Keepcon in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Keepcon tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Keepcon capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Keepcon through natural language queries
Keepcon MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Keepcon to Vercel AI SDK via MCP:
acknowledge_results
Acknowledge receipt of results
export_results
Retrieve batch moderation results
get_profile
Get a specific user profile by Keepcon ID
get_profile_by_social_id
g., twitter, facebook) and the network-specific user ID. Get a user profile by social network ID
import_batch
Returns an import ID. Submit content for batch moderation
list_profiles
List user profiles
moderate_content
Returns the decision (approve/reject) and tags. Moderates content in real-time
search_profiles
Search profiles with filters
submit_feedback
g., false positives) to improve the semantic engine. Submit moderation feedback
Example Prompts for Keepcon in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Keepcon immediately.
"Moderate this text in the 'forum' context: 'This user is being very aggressive!'"
"Export pending moderation results for the 'chat' context."
"List all user profiles in my Keepcon account."
Troubleshooting Keepcon MCP Server with Vercel AI SDK
Common issues when connecting Keepcon to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKeepcon + Vercel AI SDK FAQ
Common questions about integrating Keepcon 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 Keepcon 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 Keepcon to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.