Wiktionary MCP. Pull definitions and etymologies directly into your AI client.

Wiktionary MCP Server - Word Definitions & Etymology

This server hooks your AI agent directly into a massive, structured lexicon. Forget general web searches or trusting an LLM's internal knowledge base when you need verifiable facts about language. This toolset lets your agent pull precise definitions and historical context right where you are working.

When you run it, the system returns more than just a meaning; it gives you linguistic structure. You can use get_word_definition to grab detailed information on any specific term. That function provides not only the core definition but also the exact grammatical role—is 'ephemeral' used as an adjective or a noun? The server specifies that part of speech, along with usage notes so you know how to treat the word in context.

The system is built for depth. When your query involves tracing origins, it pulls the historical roots and etymology of a word across different languages. You can figure out why a term means what it does today by checking its linguistic lineage. This isn't just listing synonyms; this traces the word’s journey from one language root to another.

If you pass in a phrase or concept that functions as an academic topic, you don't need get_word_definition. You use get_word_summary instead. That tool pulls a short, encyclopedic overview of general topics. It handles the conceptual summary when the input isn't just a single dictionary entry but a broader idea.

It processes multilingual data seamlessly. When you run a query, it accesses definitions and examples from several supported world languages in one go. You don't have to switch servers or use specialized language tools; this server handles the complexity of cross-language vocabulary retrieval for your agent.

When using get_word_definition, the returned data set includes specific tags (like noun, verb, adjective, etc.). Your workflow gets those precise identifiers, letting you write code that knows exactly how to process the word regardless of its context. You're not just getting a vague meaning; you're getting structured, actionable linguistic data.

The server doesn't stop at modern usage. The etymology breakdown lets you explore historical shifts in meaning, showing you when and where a word acquired a new definition or changed its grammatical function over centuries of use.

If your goal is to define a single term, get_word_definition gives you the full linguistic packet: definition, part of speech, usage notes, and often multiple language equivalents. If your goal is to understand a topic—say, 'Quantum Physics' or 'The Renaissance'—you run get_word_summary, and it delivers that concise, academic overview without requiring further web scraping.

You don't need general search engine results for this. You get verifiable facts about language structure. The server makes sure you can check the precise meanings of specialized jargon across different global languages using a single query. It provides the necessary tags to make your downstream processing reliable. Whether it’s checking if 'zeitgeist' is an adjective or getting a summary on 'global warming,' the data structure remains consistent and detailed.

It handles complex word formations, giving you both the definition for the compound word and its etymological breakdown showing how those root parts came to be. You can process definitions that span multiple languages in one go, ensuring your agent never misses a potential meaning or usage note simply because of language barriers.

It’s raw linguistic power, delivered right into your client's context.