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How to Use the DictionaryAPI.dev MCP in Mastra AI

Build resilient, self-healing vocabulary workflows using Mastra AI and this dictionary MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

DictionaryAPI.dev MCP on Cursor AI Code Editor MCP Client DictionaryAPI.dev MCP on Claude Desktop App MCP Integration DictionaryAPI.dev MCP on OpenAI Agents SDK MCP Compatible DictionaryAPI.dev MCP on Visual Studio Code MCP Extension Client DictionaryAPI.dev MCP on GitHub Copilot AI Agent MCP Integration DictionaryAPI.dev MCP on Google Gemini AI MCP Integration DictionaryAPI.dev MCP on Lovable AI Development MCP Client DictionaryAPI.dev MCP on Mistral AI Agents MCP Compatible DictionaryAPI.dev MCP on Amazon AWS Bedrock MCP Support
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Mastra AI

Connect DictionaryAPI.dev MCP to Mastra AI

Create your Vinkius account to connect DictionaryAPI.dev to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Build resilient dictionary workflows in Mastra AI

Sometimes APIs fail, but your agent workflows shouldn't. By combining Mastra AI with this MCP Server, you can build multi-step linguistic workflows that automatically retry lookups if the service drops. If a call to `get_word_definition` fails, the workflow engine catches it, waits, and retries with exponential backoff. This gives you a bulletproof way to parse text. Your agent can extract difficult words from a document, run them through the dictionary tool, and compile a glossary without crashing halfway through a long run.

Conditional branching based on word definitions

You can design Mastra AI agents that change their behavior depending on what the dictionary returns. Have your agent check a word's origin or part of speech using `get_word_definition`, then route the task accordingly. For example, if the tool reveals a word is a technical noun, your workflow can route it to a specialized technical writer agent. If it's a common verb, it goes straight to the editor. It is all handled dynamically within your agent's tool execution loop.

Human-in-the-loop approvals for lookups

When building automated systems, you might not want your agent acting on definitions blindly. Mastra AI lets you require human approval before a tool runs, allowing you to review the target word before it hits the API. This is perfect for content moderation or curation pipelines. Your agent flags a word, requests approval to run `get_word_definition` on our MCP Server, and only proceeds once a human clicks accept in your admin dashboard.

Setup guide

Set up DictionaryAPI.dev MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All DictionaryAPI.dev tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "dictionaryapidev-mcp-client",
  servers: {
    "dictionaryapidev-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "DictionaryAPI.dev Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to DictionaryAPI.dev tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent DictionaryAPI.dev transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DictionaryAPI.dev. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about DictionaryAPI.dev MCP in Mastra AI

You configure retries directly in your Mastra AI workflow definition. When registering the `get_word_definition` tool, you can specify retry policies with exponential backoff to handle transient network issues smoothly.
Yes, you can run multiple dictionary lookups concurrently. Mastra AI's workflow engine supports parallel steps, allowing your agent to trigger the `get_word_definition` tool for dozens of words simultaneously.
If you hit rate limits, the workflow engine will trigger your configured backoff strategy. The `get_word_definition` tool will pause and retry once the rate limit window cools down, ensuring your agent tasks complete successfully.
The server supports both standard SSE and Streamable HTTP. Mastra AI automatically detects the transport type when you initialize the client with your Vinkius MCP Server endpoint URL.
Yes, completely. All text payloads containing the English words you query via `get_word_definition` are processed in a zero-trust, ephemeral sandbox. We never persist your search history or the text of your lookups to disk.

Start using the DictionaryAPI.dev MCP today

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