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Korean NLP via Bareun: morphology, dictionary search, tokenize, and grammar correction.
About
Korean NLP via Bareun: morphology, dictionary search, tokenize, and grammar correction.
Security Report
hangulport is a thin forwarder that sends Korean text and tool arguments to the documented Bareun endpoint at api.bareun.ai, authenticated by an api-key header read from BAREUN_API_KEY. The code shows no shell execution, file access, obfuscation, or hardcoded secrets. The main concern is that BAREUN_MCP_URL can redirect the API key to any host, including non-HTTPS ones, without validation. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
8 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-cloudcorprecords-hangulport": {
"args": [
"-y",
"@reneturcios/hangulport"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
hangulport
hangulport is a client for the hosted Bareun Korean NLP service. It exposes morphological analysis with part-of-speech tagging, the raw morphological model output, Urimalsaem dictionary search by jamo slot pattern, sentence tokenization, spelling and spacing correction, and the service's part-of-speech tag list. One binary serves a command-line interface and a stdio MCP server; both forward every call to the hosted endpoint.
An API key is required. Set BAREUN_API_KEY to your Bareun key; it
is sent to the endpoint as the api-key header and nowhere else.
Calls go to https://api.bareun.ai/mcp unless BAREUN_MCP_URL
overrides the endpoint. When the key is missing, calls fail with an
error naming BAREUN_API_KEY — no result is invented locally. The
47 POS tags behind list_pos_tags are served by the upstream; they
are not hardcoded here.
Install
npx @reneturcios/hangulport tokenize "안녕하세요"
Or run the container image:
docker run -i ghcr.io/cloudcorprecords/hangulport
The container defaults to the MCP server (see below). Pass CLI
arguments to use it as a CLI instead. Both forms need
BAREUN_API_KEY in the environment (for Docker, add
-e BAREUN_API_KEY=...).
CLI
hangulport analyze_syntax "안녕하세요" --auto-spacing --encoding utf8 --format compact
hangulport analyze_syntax_raw "안녕하세요" --with-sense
hangulport search_dict "ㄱㅏ*" --anchor prefix --limit 5 --with-definition
hangulport tokenize "문장을 나눕니다" --auto-spacing
hangulport correct_grammar "띄어쓰기연습" --enable-sentence-check
hangulport list_pos_tags
hangulport --version
Each subcommand is named after the MCP tool it calls. The first
argument is the required text (or dictionary pattern); the remaining
flags map one-to-one onto the tool's optional inputs. Boolean flags
take no value: passing the flag sets it true, and omitting it
forwards nothing — this client injects no defaults of its own.
--custom-dict-names takes a comma-separated list. Commands print
the upstream result text. Exit codes: 0 on success, 1 when a
call fails (including a missing key or an upstream error), 2 for
usage errors.
MCP server
One bin serves both faces. The mcp subcommand starts a stdio MCP
server:
npx -y @reneturcios/hangulport mcp
MCP client configuration:
{
"mcpServers": {
"hangulport": {
"command": "npx",
"args": ["-y", "@reneturcios/hangulport", "mcp"],
"env": { "BAREUN_API_KEY": "your-key" }
}
}
}
To point the server at a different Bareun-compatible host, add
BAREUN_MCP_URL to the client's env for this server.
Tools
| Tool | Input | What it returns |
|---|---|---|
analyze_syntax | text (required); optional auto_split_sentence, auto_spacing, auto_jointing, custom_dict_names, encoding (utf32/utf16/utf8), format (full/compact), with_sense | Morphological analysis with POS tagging. |
analyze_syntax_raw | text (required); optional auto_split_sentence, encoding, format, with_sense | Raw morphological model output, no post-processing. |
search_dict | pattern (required); optional anchor (word/prefix/suffix/contains), pos, std_only, with_definition, limit, count_only | Urimalsaem dictionary matches for a jamo slot pattern. |
tokenize | text (required); optional auto_spacing, encoding | The sentence split into word units. |
correct_grammar | text (required); optional custom_dict_names and nine boolean correction options (treat_as_title, disable_split_sentence, disable_caret_spacing, disable_vx_spacing, enable_limited_punctuation, disable_confusion, enable_cleanup_whitespace, disable_typo_correction, enable_sentence_check) | Spelling/spacing correction blocks. |
list_pos_tags | (none) | The 47 Bareun POS tags, as served upstream. |
Development
npm install
npm run build # tsc -> dist/
npm test # node test runner over test/*.test.ts, no network (fake fetch fixtures)
npm run dev # run the CLI from source via tsx
License
MIT — see LICENSE.
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