dahlia

dahlia / ko-stdict-mcp

Public

《표준국어대사전》 MCP 서버

jsr.io@hongminheeko-stdict-mcp dictionary korean mcp
15
1
100% credibility
Found Mar 30, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This project downloads the official Standard Korean Dictionary data dump, processes it into a local searchable format, and runs a server for AI assistants to query Korean word definitions offline.

How It Works

1
📰 Discover the Korean Dictionary Helper

You hear about a free tool that grabs the official Korean dictionary and lets you search it offline without any online sign-ups.

2
💻 Set It Up on Your Computer

With a quick install command, you add this handy dictionary tool to your setup in moments.

3
📥 Download the Dictionary Data

Run a simple prepare command once, and it fetches the full official dictionary files, sorts them neatly, and gets everything ready for you.

4
🔗 Link It to Your AI Assistant

Tell your smart chat helper where to find this dictionary by adding a short note about how to start it.

5
🔍 Search for Korean Words

Ask your assistant to look up any word, like '나무' for tree, choosing exactly what details you want like meanings or examples.

6
💡 Get Instant Answers

Your assistant pulls up precise definitions, pronunciations, and related info super fast from your local copy.

🎉 Offline Dictionary Mastery

Now you have a reliable, speedy Korean dictionary always ready at your fingertips, no internet needed after setup.

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Star Growth

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AI-Generated Review

What is ko-stdict-mcp?

ko-stdict-mcp is a TypeScript MCP server delivering offline access to Korea's Standard Dictionary (stdict). On first run, it grabs the official JSON dump, builds a local SQLite cache, and exposes tools like search_entries (exact/prefix/contains matches), get_entry by code, dictionary_status, and refresh_dictionary—all over stdio with Deno. No National Institute API key needed; just deno task init or npx for mcp github copilot vscode/intellij setups.

Why is it gaining traction?

Field selection keeps responses lean (e.g., just word/definition), caching skips redownloads, and Deno tasks handle init/refresh effortlessly. Stands out for mcp github n8n workflows or typescript/python tools versus API-bound alternatives. The stdio protocol hooks seamlessly into mcp github copilot, making Korean lookups instant in IDEs.

Who should use this?

Korean NLP devs embedding dict lookups in apps, mcp github copilot users in vscode/intellij querying terms mid-code, n8n automation builders, or project managers resolving mcp github issues with precise stdict data. Suits typescript mcp github projects needing reliable, local headword search.

Verdict

Solid docs and Deno tests make it usable now, despite 15 stars and 1.0% credibility score signaling early maturity. Try for niche mcp stdict needs—scales well for low-volume queries.

(178 words)

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