Gujarati Lexicon MCP server

<!-- mcp-name: io.github.aarshbharat/gujarati-lexicon-mcp -->

Gujarati Lexicon MCP Server

A grounded Gujarati dictionary for AI assistants. Connect it to Claude (or any MCP client) and the assistant looks Gujarati words up in real dictionary data instead of guessing: meanings, synonyms, idioms (રૂઢિપ્રયોગ), and inflected forms like ઘરમાં or આંખોમાં.

Why this exists: LLMs are unreliable with Gujarati. They invent meanings, mix up idioms, and produce convincing but wrong usage. This server gives the model facts to stand on and tells it plainly when a word is not in the dictionary.

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Example

User: અમે નો અર્થ શું છે?

Claude (after calling define): અમે means "we", the plural of હું (I)…

User: ઘરમાં નો અર્થ?

Claude: ઘરમાં = ઘર + માં → "in the house". The server matched the inflected form to its base word ઘર.

Features

• About 6,800 words with English meanings, from Wiktionary
• Hand-checked entries with Gujarati meanings and idioms (curated set, growing)
• Inflection handling: ઘરમાં, ઘરે, આંખોમાં, and અમે resolve to their base words
• "Did you mean?" suggestions for typos (પાણિ → પાણી)
• Source attribution in every response, so the assistant can say where a meaning came from

Quick start

Requires uv.

Add this to your Claude Desktop config (Settings → Developer → Edit Config):

"args": ["gujarati-lexicon-mcp"]

Restart Claude Desktop completely (quit from the system tray), open a new chat, and ask about any Gujarati word.

On Windows, if Claude Desktop can't find uvx, use its full path (find it with where uvx), e.g. C:\\Users\\\\.local\\bin\\uvx.exe.

How lookup works

A word goes through three layers, from most to least reliable:

flowchart LR
    A[Input word] --> B{Exact headword?}
    B -- yes --> C{Pure inflected form?}
    C -- yes --> D[Follow Wiktionary link<br/>ઘરે → ઘર]
    C -- no --> E[Return entry]
    D --> E
    B -- no --> F[Strip suffixes<br/>માં, નો, ની, ે, ો ...]
    F -- match --> E
    F -- no match --> G[Not found + suggestions<br/>tell the model not to guess]

1. Exact match. A real dictionary entry always wins over a guessed base form.
2. Wiktionary inflection links. Wiktionary records that ઘરે is the locative of ઘર. The converter reads the structured form_of field, and falls back to parsing glosses like "plural of X" where that field is missing.
3. Suffix stripping. As a last resort, common endings are removed (up to two, e.g. આંખોમાં → આંખો → આંખ). A stripped form is accepted only if it is a real headword, so words are never mangled.

Responses keep sources separate (curated vs wiktionary_senses), so the model can attribute meanings honestly.

Data sources

Wiktionary data comes from Wiktionary via kaikki.org, extracted with wiktextract:

Shortened. The full README is on GitHub.