Wiktionary MCP Server for Vercel AI SDK 2 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Wiktionary 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 Wiktionary, 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 Wiktionary MCP Server
Equip your AI agent with the power of the world's most comprehensive collaborative dictionary through the Wiktionary MCP server. This integration provides instant access to linguistic data for thousands of words and phrases. Your agent can retrieve precise definitions, identify parts of speech (nouns, verbs, adjectives), see usage examples, and get concise summaries for encyclopedic topics. Whether you are improving your writing, translating complex texts, or exploring etymology, your agent acts as a dedicated philologist and lexicographer through natural conversation.
The Vercel AI SDK gives every Wiktionary tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 2 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
- Word Definitions — Retrieve detailed linguistic definitions and parts of speech.
- Encyclopedic Summaries — Get concise descriptions for words that also function as general topics.
- Linguistic Examples — View real-world usage examples for better understanding of context.
- Multilingual Support — Access definitions and data across various languages supported by the platform.
- Etymology Auditing — Explore the history and origin of words across different linguistic roots.
The Wiktionary MCP Server exposes 2 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 Wiktionary to Vercel AI SDK via MCP
Follow these steps to integrate the Wiktionary 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 2 tools from Wiktionary and passes them to the LLM
Why Use Vercel AI SDK with the Wiktionary MCP Server
Vercel AI SDK provides unique advantages when paired with Wiktionary 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 Wiktionary integration everywhere
Built-in streaming UI primitives let you display Wiktionary 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
Wiktionary + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Wiktionary MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Wiktionary in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Wiktionary tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Wiktionary capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Wiktionary through natural language queries
Wiktionary MCP Tools for Vercel AI SDK (2)
These 2 tools become available when you connect Wiktionary to Vercel AI SDK via MCP:
get_word_definition
Get the definition of a word
get_word_summary
Get a short summary of a word or topic
Example Prompts for Wiktionary in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Wiktionary immediately.
"What is the definition of the word 'ephemeral'?"
"Give me a summary of 'Computer Science'."
"Identify the part of speech for 'serendipity'."
Troubleshooting Wiktionary MCP Server with Vercel AI SDK
Common issues when connecting Wiktionary to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWiktionary + Vercel AI SDK FAQ
Common questions about integrating Wiktionary 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 Wiktionary 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 Wiktionary to Vercel AI SDK
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.