Keywords AI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Check Keywordsai Status, Get Analytics, Get Credits, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Keywords AI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Keywords AI app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Keywords 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 Keywords AI MCP Server
Connect your Keywords AI account to any AI agent and monitor LLM performance.
The Vercel AI SDK gives every Keywords AI 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
- Request Logs — List and filter all LLM API calls by model
- Cost Tracking — Monitor credit balance and usage statistics
- Analytics — View cost trends, latency metrics, and error rates
- Model Catalog — Browse available LLM models
- Team Management — List users and view activity
- Alerts — Review monitoring thresholds
The Keywords AI 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.
All 11 Keywords AI tools available for Vercel AI SDK
When Vercel AI SDK connects to Keywords AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-observability, api-gateway, cost-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify API connectivity
Get analytics dashboard
Get credit balance
Get request details
Get usage statistics
Get user details
List monitoring alerts
List available models
List API request logs
List requests by model
List team users
Connect Keywords AI to Vercel AI SDK via MCP
Follow these steps to wire Keywords AI into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Keywords AI MCP Server
Vercel AI SDK provides unique advantages when paired with Keywords 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 Keywords AI integration everywhere
Built-in streaming UI primitives let you display Keywords 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
Keywords AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Keywords AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Keywords AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Keywords AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Keywords AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Keywords AI through natural language queries
Example Prompts for Keywords AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Keywords AI immediately.
"Show my current credit balance."
"List all requests using GPT-4."
"Show analytics dashboard."
Troubleshooting Keywords AI MCP Server with Vercel AI SDK
Common issues when connecting Keywords AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKeywords AI + Vercel AI SDK FAQ
Common questions about integrating Keywords 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.