Bareun — Korean NLP & Spell/Grammar Checking

ai.bareunPublished by bareun.aiOfficial publisherv3.0.0Updated Oct 24, 2026

Korean NLP MCP server: morphological analysis, tokenization, spell & grammar checking (Bareun)

VerifiedStreamable HTTPWeb executableKnowledge & MemoryAI & ML

Overview

AI-generated overview

Lets an assistant run Korean morphological analysis, tokenization, dictionary lookup, and spell/grammar correction through the hosted Bareun API.

What you can do
Exposes Bareun's Korean NLP engine as MCP tools: analyze_syntax and analyze_syntax_raw split text into morphemes with part-of-speech tags, tokenize splits sentences into word units, correct_grammar returns spelling and spacing fixes as per-edit blocks with category and rule, search_dict queries the Urimalsaem dictionary by jamo slot patterns, and list_pos_tags returns the 47 POS tags. Optional homograph sense disambiguation (beta) attaches dictionary senses to content morphemes. Resources expose POS tags, server metadata, and registered custom-dictionary names.
When to use it
Useful when an assistant must produce or proofread Korean and needs reliable spacing, particle agreement, and confusable-word handling that general LLMs often get wrong. Also suited to Korean text analysis tasks such as POS tagging, tokenization, or phoneme-level dictionary searches.
Requirements
A remote Streamable HTTP endpoint; no local install for most clients. Requires a Bareun API key, sent as an api-key header or Authorization: Bearer, obtained from the Bareun site. Claude Desktop bridges header-authenticated remote servers via mcp-remote, which needs Node.js. The /mcp endpoint is only on the spell-checker-included build; self-hosted installs work with a swapped host.
Before you install
The API key is a secret sent in the api-key or Authorization header; keep it out of shared configuration files. Text submitted for analysis or correction is sent to the third-party Bareun service. The tools are described as read-only, so auto-approving them is possible, but review that claim before enabling auto-approval.

Installation

In SourceWeft

  1. Open Bareun — Korean NLP & Spell/Grammar Checking in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.bareun%2Fbareun/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "bareun-korean-nlp-spell-grammar-checking": {
      "type": "http",
      "url": "https://api.bareun.ai/mcp"
    }
  }
}

README

Bareun MCP Server — Korean NLP & Spell/Grammar Checking

[License: MIT] [smithery badge]

바른(Bareun) is a Korean natural-language platform. This is its MCP (Model Context Protocol) server — it lets any MCP-compatible AI tool (Claude, Cursor, VS Code, Claude Desktop, …) perform Korean morphological analysis and spell/grammar correction by calling Bareun as a tool.

Large language models still miss the subtle spacing, particle agreement, and confusable-word rules of Korean. Plug Bareun in as an MCP tool and your agent can hand off analysis and proofreading to a dedicated Korean engine, then use the result to produce more accurate Korean output.

  • Hosted endpoint: https://api.bareun.ai/mcp
  • Transport: Streamable HTTP (JSON-RPC 2.0) — no SSE, no extra port, no install
  • Auth: API key (api-key header or Authorization: Bearer <key>)
  • Get an API key: https://bareun.ai

The /mcp endpoint is available on the spell-checker–included build of Bareun (the morphological-analysis-only build does not expose /mcp). The same endpoint works on self-hosted/on-prem installs — just swap the host.


What it looks like

Spelling & spacing — correct_grammar (real output from https://api.bareun.ai/mcp):

In회의결과를 정리해서 내일까지 보내주시기 바람니다.
Out회의 결과를 정리해서 내일까지 보내 주시기 바랍니다.

Every fix comes back as a block, so an agent can explain the edit instead of silently rewriting the sentence:

OriginalCorrectedCategoryRule
회의결과를회의 결과를SPACINGcompound noun spacing
보내주시기보내 주시기SPACINGauxiliary-verb spacing
바람니다.바랍니다.TYPOmisspelling

Morphological analysis — analyze_syntax (format: compact):

In나는 학교에 간다.
Out나/NP 는/JX 학교/NNG 에/JKB 가/VV ㄴ다/EF ./SF

Homograph senses — analyze_syntax with with_sense: true (beta): 배 in 배가 아프다 comes back with senseNo: 1 and its dictionary definition — 사람이나 동물의 몸에서 … 가슴과 엉덩이 사이의 부위 (belly, probability 0.87), plus the Urimalsaem entry id — so the agent knows which 배 it is reading.


Tools

ToolWhat it doesKey inputs
analyze_syntaxSplits a sentence into words/morphemes and tags parts of speech (morphological analysis).text (required), auto_split_sentence, auto_spacing, auto_jointing, custom_dict_names, encoding, format (full|compact), with_sense
analyze_syntax_rawSame analysis without post-processing (no compound-noun/verb splitting, no auto spacing, no custom dictionaries) — the raw model output.text (required), auto_split_sentence, encoding, format, with_sense
search_dictSearches the Urimalsaem Korean dictionary (~1.1M entries) by jamo (phoneme-level) slot patterns — conditions like "verbs whose stem ends in the ㅎ coda" or "words ending in -아지" that cannot be expressed with composed Hangul syllables.pattern (required), anchor (word|prefix|suffix|contains), pos, std_only, with_definition, limit, count_only
tokenizeSplits a sentence into word (token) units.text (required), auto_spacing, encoding
correct_grammarCorrects spelling/spacing and returns correction blocks.text (required), custom_dict_names, + 9 boolean correction options
list_pos_tagsReturns the 47 part-of-speech tags Bareun uses (code · name · class).(none)

correct_grammar options (all boolean, default off): 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.

encoding controls the unit for morpheme offsets: utf32 (default, code points — matches Python), utf16 (JS/Java), utf8 (bytes — Go/C++).

with_sense — homograph sense disambiguation (WSD, beta). Korean writes many unrelated words identically: 배 can be belly, ship, or pear. Set with_sense: true on analyze_syntax/analyze_syntax_raw and each content morpheme carries a sense object — the dictionary sense number, its Korean definition, the Urimalsaem entry id, and the probability of the chosen sense among that word's candidate senses. It is off by default (one extra model pass; responses are byte-identical to before when omitted), and format=compact renders it inline as 배__002/NNG. This feature is in beta and ships officially with Bareun 3.1.0.

Resources

Resource URIContentsAuth
bareun://pos-tagsThe 47 POS tags (code · name · class) — same data as list_pos_tagsAPI key
bareun://server-infoServer metadata — name · version · build · active tools/resourcesAPI key
bareun://custom-dictsNames of custom-dictionary domains registered for the keyvalid API key

Quick start

Tip — register globally. Most tools default to project scope (the server is only available in one project). To use Bareun across all your projects, register it at global / user scope as shown below.

Claude Code

bash
# -s user → global: available in every projectclaude mcp add -s user --transport http bareun https://api.bareun.ai/mcp \  --header "api-key: YOUR_API_KEY"

Omit -s user for project-local scope. Check with claude mcp get bareun.

Cursor

Global: ~/.cursor/mcp.json · Project: <project>/.cursor/mcp.json

json
{  "mcpServers": {    "bareun": {      "url": "https://api.bareun.ai/mcp",      "headers": { "api-key": "YOUR_API_KEY" }    }  }}

VS Code

Global: run MCP: Open User Configuration · Project: <project>/.vscode/mcp.json

json
{  "servers": {    "bareun": {      "type": "http",      "url": "https://api.bareun.ai/mcp",      "headers": { "api-key": "YOUR_API_KEY" }    }  }}

Claude Desktop — claude_desktop_config.json

Claude Desktop bridges header-authenticated remote servers via mcp-remote (Node.js required):

json
{  "mcpServers": {    "bareun": {      "command": "npx",      "args": [        "-y", "mcp-remote",        "https://api.bareun.ai/mcp",        "--header", "api-key: YOUR_API_KEY"      ]    }  }}

Cline — cline_mcp_settings.json

Open MCP Servers → Configure MCP Servers in Cline, then add:

json
{  "mcpServers": {    "bareun": {      "type": "streamableHttp",      "url": "https://api.bareun.ai/mcp",      "headers": { "api-key": "YOUR_API_KEY" },      "disabled": false,      "autoApprove": []    }  }}

All five tools are read-only (readOnlyHint), so listing them in autoApprove is safe if you would rather not confirm every call.

ChatGPT — Developer Mode

ChatGPT talks to Streamable HTTP servers directly — no directory review needed. Turn on Developer mode (Settings → Apps & Connectors → Advanced), then Create a connector:

  • URL: https://api.bareun.ai/mcp
  • Authentication: OAuth — Bareun runs its own OAuth 2.1 (PKCE) endpoint, so ChatGPT opens a login page where you paste your Bareun API key. (ChatGPT's connector dialog offers OAuth or no-auth; if your build also lets you set request headers, an api-key header works just as well.)

Menu wording and plan availability shift between ChatGPT releases — Developer mode is an account-level toggle, and on Business/Enterprise a workspace owner enables it first.

Test with MCP Inspector

bash
npx @modelcontextprotocol/inspector

Set Transport to Streamable HTTP, URL to https://api.bareun.ai/mcp, and add header api-key: YOUR_API_KEY.


Example

jsonc
// tools/call → analyze_syntax  (format: compact){ "text": "나는 학교에 간다.", "format": "compact" }// → "나/NP 는/JX 학교/NNG 에/JKB 가/VV ㄴ다/EF ./SF"

Links

License

The contents of this repository (documentation, registry manifests, examples) are released under the MIT License. The Bareun engine itself is a proprietary service operated by Baikal AI; access is governed by the bareun.ai terms of service.

Source: README.md at commit 4fe2fc4

Tools

0
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Version history

1
  1. v3.0.0LatestSep 16, 2026

Score

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