Bareun — Korean NLP & Spell/Grammar Checking

ai.bareun由 bareun.ai 发布官方发布者v3.0.0更新于 Oct 24, 2026

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

已验证Streamable HTTP可网页运行知识与记忆AI 与机器学习

概览

AI 生成的概览

让助手通过托管的 Bareun API 进行韩语形态分析、分词、词典查询以及拼写和语法校正。

可以做什么
将 Bareun 的韩语 NLP 引擎以 MCP 工具形式提供:analyze_syntax 与 analyze_syntax_raw 把文本切分为语素并标注词性,tokenize 按词切分句子,correct_grammar 以逐条修改块返回拼写与空格修正及类别和规则,search_dict 按字母(音素)槽位模式检索 Urimalsaem 词典,list_pos_tags 返回 47 个词性标签。可选的同形异义消歧(测试版)为实语素附加词典义项。资源提供词性标签、服务器元数据和已注册自定义词典名称。
适用场景
适合助手需要生成或校对韩语,且必须处理通用大模型常出错的空格、助词搭配和易混词规则的场景。也适用于词性标注、分词或音素级词典检索等韩语文本分析任务。
运行要求
远程 Streamable HTTP 端点,多数客户端无需本地安装。需要 Bareun API 密钥,通过 api-key 请求头或 Authorization: Bearer 发送,密钥需从 Bareun 网站获取。Claude Desktop 需借助 mcp-remote 桥接带请求头认证的远程服务器,因此需要 Node.js。/mcp 端点仅存在于包含拼写检查的版本;自托管安装只需更换主机地址。
安装前请注意
API 密钥属于机密,通过 api-key 或 Authorization 请求头发送,请勿放入共享配置文件。提交分析或校正的文本会发送至第三方 Bareun 服务。工具被描述为只读,因此可以自动批准,但在启用自动批准前请自行核实这一说法。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Bareun — Korean NLP & Spell/Grammar Checking,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/ai.bareun%2Fbareun/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "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.

来源:README.md,提交 4fe2fc4

工具

0
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版本历史

1
  1. v3.0.0最新Sep 16, 2026

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