Wiktionary MCP Server for Mastra AI 2 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Wiktionary through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"wiktionary": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Wiktionary Agent",
instructions:
"You help users interact with Wiktionary " +
"using 2 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Wiktionary?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Wiktionary tool infrastructure. Connect 2 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Wiktionary MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 2 tools from Wiktionary via MCP
Why Use Mastra AI with the Wiktionary MCP Server
Mastra AI provides unique advantages when paired with Wiktionary through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Wiktionary without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Wiktionary tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Wiktionary + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Wiktionary MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Wiktionary, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Wiktionary as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Wiktionary on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Wiktionary tools alongside other MCP servers
Wiktionary MCP Tools for Mastra AI (2)
These 2 tools become available when you connect Wiktionary to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Wiktionary to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpWiktionary + Mastra AI FAQ
Common questions about integrating Wiktionary MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Wiktionary with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Mastra AI
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.