Korean NLP MCP server: morphological analysis, tokenization, spell & grammar checking (Bareun)
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"ai-bareun-bareun": {
"command": "<see-readme>",
"args": []
}
}
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Korean NLP MCP server: morphological analysis, tokenization, spell & grammar checking (Bareun)
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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.
https://api.bareun.ai/mcpapi-key header or Authorization: Bearer <key>)The
/mcpendpoint 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.
| Tool | What it does | Key inputs |
|---|---|---|
analyze_syntax | Splits 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) |
tokenize | Splits a sentence into word (token) units. | text (required), auto_spacing, encoding |
correct_grammar | Corrects spelling/spacing and returns correction blocks. | text (required), custom_dict_names, + 9 boolean correction options |
list_pos_tags | Returns 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++).
| Resource URI | Contents | Auth |
|---|---|---|
bareun://pos-tags | The 47 POS tags (code · name · class) — same data as list_pos_tags | API key |
bareun://server-info | Server metadata — name · version · build · active tools/resources | API key |
bareun://custom-dicts | Names of custom-dictionary domains registered for the key | valid API key |
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.
# -s user → 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.
Global: ~/.cursor/mcp.json · Project: <project>/.cursor/mcp.json
{
"mcpServers": {
"bareun": {
"url": "https://api.bareun.ai/mcp",
"headers": { "api-key": "YOUR_API_KEY" }
}
}
}
Global: run MCP: Open User Configuration · Project: <project>/.vscode/mcp.json
{
"servers": {
"bareun": {
"type": "http",
"url": "https://api.bareun.ai/mcp",
"headers": { "api-key": "YOUR_API_KEY" }
}
}
}
claude_desktop_config.jsonClaude Desktop bridges header-authenticated remote servers via mcp-remote
(Node.js required):
{
"mcpServers": {
"bareun": {
"command": "npx",
"args": [
"-y", "mcp-remote",
"https://api.bareun.ai
... [View full README on GitHub](https://github.com/gih2yun/bareun-mcp#readme)