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  3. Grammar Checking
Grammar Checking logo
Health: ActiveRecent health check succeeded.Last checked 9/21/2026, 12:46:32 PM

Grammar Checking

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "bareun-korean-nlp-spell-grammar-checking": {
      "url": "https://api.bareun.ai/mcp"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (6) Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Capabilities & Tool Schemas (6) ~178 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Grammar Checking.

analyze_syntax

Splits a sentence into words/morphemes and tags parts of speech (morphological analysis).

analyze_syntax_raw

Same analysis **without post-processing** (no compound-noun/verb splitting, no auto spacing, no custom dictionaries) β€” the raw model output.

search_dict

Searches the Urimalsaem Korean dictionary (~1.1M entries) by **jamo (phoneme-level) slot patterns** β€” conditions like "verbs whose stem ends in the γ…Ž coda" or "words ending in -μ•„μ§€" that cannot be expressed with composed Hangul syllables.

tokenize

Splits a sentence into word (token) units.

correct_grammar

Corrects spelling/spacing and returns correction blocks.

list_pos_tags

Returns the 47 part-of-speech tags Bareun uses (code Β· name Β· class).

Documentation Overview

Bareun MCP Server β€” Korean NLP & Spell/Grammar Checking

License: MIT smithery badge

λ°”λ₯Έ(Bareun) is a Korean natural-language platform. This is its MCP (Model Context Protocol) server β€” 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) β€” 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 β€” just swap the host.


What it looks like

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

In회의결과λ₯Ό μ •λ¦¬ν•΄μ„œ λ‚΄μΌκΉŒμ§€ λ³΄λ‚΄μ£Όμ‹œκΈ° λ°”λžŒλ‹ˆλ‹€.
Out회의 κ²°κ³Όλ₯Ό μ •λ¦¬ν•΄μ„œ λ‚΄μΌκΉŒμ§€ 보내 μ£Όμ‹œκΈ° λ°”λžλ‹ˆλ‹€.

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

OriginalCorrectedCategoryRule
회의결과λ₯ΌνšŒμ˜ κ²°κ³Όλ₯ΌSPACINGcompound noun spacing
λ³΄λ‚΄μ£Όμ‹œκΈ°λ³΄λ‚΄ μ£Όμ‹œκΈ°SPACINGauxiliary-verb spacing
λ°”λžŒλ‹ˆλ‹€.λ°”λžλ‹ˆλ‹€.TYPOmisspelling

Morphological analysis β€” analyze_syntax (format: compact):

Inλ‚˜λŠ” 학ꡐ에 κ°„λ‹€.
Outλ‚˜/NP λŠ”/JX 학ꡐ/NNG 에/JKB κ°€/VV γ„΄λ‹€/EF ./SF

Homograph senses β€” analyze_syntax with with_sense: true (beta): λ°° in λ°°κ°€ μ•„ν”„λ‹€ comes back with senseNo: 1 and its dictionary definition β€” μ‚¬λžŒμ΄λ‚˜ λ™λ¬Όμ˜ λͺΈμ—μ„œ … κ°€μŠ΄κ³Ό 엉덩이 μ‚¬μ΄μ˜ λΆ€μœ„ (belly, probability 0.87), plus the Urimalsaem entry id β€” so the agent knows which λ°° 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) β€” 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 β€” conditions like "verbs whose stem ends in the γ…Ž coda" or "words ending in -μ•„μ§€" 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 Β· name Β· 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 β€” matches Python), utf16 (JS/Java), utf8 (bytes β€” Go/C++).

with_sense β€” homograph sense disambiguation (WSD, beta). Korean writes many unrelated words identically: λ°° can be belly, ship, or pear. Set with_sense: true on analyze_syntax/analyze_syntax_raw and each content morpheme carries a sense object β€” 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 λ°°__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 Β· name Β· class) β€” same data as list_pos_tagsAPI key
bareun://server-infoServer metadata β€” name Β· version Β· build Β· active tools/resourcesAPI key
bareun://custom-dictsNames of custom-dictionary domains registered for the keyvalid API key

Quick start

Tip β€” 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 β†’ global: available in every project
claude 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 Β· Project: <project>/.cursor/mcp.json

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

VS Code

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

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

Claude Desktop β€” claude_desktop_config.json

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

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

Cline β€” cline_mcp_settings.json

Open MCP Servers β†’ Configure MCP Servers in Cline, then add:

config.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 β€” Developer Mode

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

  • URL: https://api.bareun.ai/mcp
  • Authentication: OAuth β€” 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 β€” Developer mode is an account-level toggle, and on Business/Enterprise a workspace owner enables it first.

Test with MCP Inspector

Terminal
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 β†’ analyze_syntax  (format: compact)
{ "text": "λ‚˜λŠ” 학ꡐ에 κ°„λ‹€.", "format": "compact" }
// β†’ "λ‚˜/NP λŠ”/JX 학ꡐ/NNG 에/JKB κ°€/VV γ„΄λ‹€/EF ./SF"

Links

  • Service: https://bareun.ai
  • Docs: https://bareun.ai/docs
  • MCP guide: https://bareun.ai/docs/howtouse/mcp
  • API keys & usage: https://bareun.ai/docs/howtouse/cloud-api

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.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
6
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about Grammar Checking

Bareun β€” Korean NLP & Spell/Grammar Checking is a hosted MCP server. Add it as a remote server in your client's config: "mcpServers": { "grammar-checking": { "url": "https://api.bareun.ai/mcp" } }

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
More technical detailsExpand β–Ύ
TransportSSE (Remote)
Last updatedAug 21, 2026
Views0
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Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 21, 2026
44Quality signal: Fair Β· 44/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership6/20
Documentation & tools25/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

2 high-severity advisories on record for this package. Most advisories affect transitive dependencies and may not be exploitable in this server's actual usage β€” this is a directional signal, not a security audit.

Critical 1High 1Medium 0Low 0

Scanned 27d ago via OSV.dev Β· https://api.bareun.ai/mcp (npm)

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