Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Korean NLP MCP server: morphological analysis, tokenization, spell & grammar checking (Bareun)
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http bareun https://api.bareun.ai/mcp --header 'Authorization: your-value'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"bareun": {
"url": "https://api.bareun.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"bareun": {
"type": "http",
"url": "https://api.bareun.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
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Authorization secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
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It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (3.0.0) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, LickityClick
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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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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 )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.
Spelling & spacing — `correct_grammar` (real output from https://api.bareun.ai/mcp):
| In | 회의결과를 정리해서 내일까지 보내주시기 바람니다. |
| Out | 회의 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:
| Original | Corrected | Category | Rule |
|---|---|---|---|
| 회의결과를 | 회의 결과를 | SPACING | compound noun spacing |
| 보내주시기 | 보내 주시기 | SPACING | auxiliary-verb spacing |
| 바람니다. | 바랍니다. | TYPO | misspelling |
Morphological analysis — `analyze_syntax` (format: compact):
| In | 나는 학교에 간다. |
| Out | 나/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.
| 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), with_sense | ||
analyze_syntax_raw | Same 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_dict | Searches 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 |
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++).
`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.
| 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: /.cursor/mcp.json
{
"mcpServers": { "bareun": { "url": "https://api.bareun.ai/mcp", "headers": { "api-key": "YOUR_API_KEY" } } } }
Global: run MCP: Open User Configuration · 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/mcp", "--header", "api-key: YOUR_API_KEY" ] } } }
cline_mcp_settings.jsonOpen MCP Servers → Configure MCP Servers in Cline, then add:
{
"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 talks to Streamable HTTP servers directly — no directory review needed. Turn on Developer mode (Settings → Apps & Connectors → Advanced), then Create a connector:
https://api.bareun.ai/mcpapi-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.
npx @modelcontextprotocol/inspector
Set Transport to Streamable HTTP, URL to https://api.bareun.ai/mcp, and add header api-key: YOUR_API_KEY.
// 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"
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.