Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Seven tools over the tabnas parsing engine: parse, validate, diagnose, fixtures, compare.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.tabnas.dev/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"tabnas": {
"command": "npx",
"args": [
"-y",
"@tabnas/mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http tabnas https://mcp.tabnas.dev/mcpclaude mcp add tabnas -- npx -y @tabnas/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"tabnas": {
"url": "https://mcp.tabnas.dev/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"tabnas": {
"command": "npx",
"args": [
"-y",
"@tabnas/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"tabnas": {
"type": "http",
"url": "https://mcp.tabnas.dev/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"tabnas": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@tabnas/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.tabnas.dev/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 tabnas.dev 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.20)은 29일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, FOGA node
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
A Finch OG Agent cell as an MCP server: read the world, dry-run and take ERC-8414 tenders by policy.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
The tabnas agent tooling: one TypeScript codebase, two front-ends: an MCP server (stdio) and the unified tabnas CLI, sharing a single core (ts/src/core.ts) so the two can never disagree. For each operation the CLI's --json output and the MCP tool result are byte-identical, and the test suite holds them to it.
The website page for this package: per-client setup, the tool contracts, the hosted endpoint's bounds: [tabnas.dev/mcp](https://tabnas.dev/mcp/).
Published as @tabnas/mcp. This repo is TypeScript-only: it is tooling over the engine, not a parity package, so there is no Go port.
npm install -g @tabnas/mcp # the `tabnas` CLI
npx --yes @tabnas/mcp # run the MCP server directly (stdio)
MCP client configuration (stdio):
{
"mcpServers": { "tabnas": { "command": "npx", "args": ["--yes", "@tabnas/mcp@ ", "mcp"] } } }
Fill in with the current version: npm view @tabnas/mcp version. This README does not name it: a repo cannot carry an exact pin of its own published version, because the commit that updates it becomes the next release's content, leaving it one release behind forever.
The server is started by the mcp subcommand of the CLI (tabnas mcp), which is exactly what the skills package's mcp.json invokes as npx --yes @tabnas/mcp@ mcp. (--yes matters: on a cache miss npx would otherwise prompt on the stdin the MCP transport owns. Pin an exact version so the tools cannot drift under an installed client: skills/mcp.json carries the real one, written from the registry by its tools/sync-mcp-pin.js and checked by tools/validate.js --online.)
| Tool | Answers | Result | |
|---|---|---|---|
parse | does this input parse, and to what tree? | {ok:true, tree} \ | {ok:false, diagnostic} |
validate_grammar | is this serialized GrammarSpec valid? | {ok:true, v} \ | {ok:false, errors:[{path,message}]} |
explain_parse_error | why did this parse fail? | {failed:false} \ | {failed:true, diagnostic, registry} |
test_grammar | do these TSV fixtures pass? | {pass, fail, rows:[{row,input,expected,got,ok}]} | |
list_plugins | what grammar plugins exist? | {plugins:[...]} | |
describe_plugin | one plugin's full descriptor | the tabnas.plugin.json object | |
compare_grammars | does a grammar change still accept what the old one accepted, and build the same trees? | {normalForm, proven[], observed[], changes[], counterexamples[], confidence, why} |
Notes on the contracts:
parse applies options first, then grammar. With no grammar the instance is exactly what new Tabnas() gives: the bare engine defines no rules, so every input yields an undefined tree (serialized as {"ok":true}).grammar argument is validated before it is used, by every operation that accepts one; an invalid grammar is rejected with the validate_grammar error shape {ok:false, errors:[{path,message}]}.validate_grammar layers: an ADR-10 security scan (below), structural validation against the bundled grammar.schema.json (Ajv, draft 2020-12), then an engine load in a fresh instance whose thrown message becomes the error. v is the grammar's declared builtin config-schema version (absent means 1).__proto__, constructor, or prototype anywhere in the tree (prototype-pollution defense, since the engine's grammar merge has no __proto__ guard); a ref key (live functions are not JSON); any function reference that is not a $-suffixed engine builtin; a plugins key, whether a request option or inside grammar.options (a plugin is live code); and grammars over 5000 rules (a CPU bound). "Validate this grammar" never becomes "run this code", or "pollute this process".options.parser.start set to a non-function) is caught and returned as the same clean {ok:false, errors:[{path:"",message}]} shape, so the CLI and the MCP tool agree.explain_parse_error joins the diagnostic with the bundled error-code registry entry ({code, message, hint}); registry is null for a code the registry does not know (for example, a plugin-declared code).test_grammar takes TSV content in the fleet fixture convention (@tabnas/support): line 1 is a header, the input column is escape-decoded, the expected column is JSON or ERROR / ERROR: . Columns default to positions 0 and 1; options.inputCol / options.expectedCol select by position or header name. Specs over 10000 rows are refused.MCP resources (served verbatim from the bundled data/): tabnas://schema/grammar, tabnas://schema/diagnostic, tabnas://errors, tabnas://plugins, tabnas://divergence.
tabnas parse [file|-] [--grammar g.json] [--json]
tabnas validate --grammar g.json [--json] tabnas diagnose [file|-] [--grammar g.json] [--json] tabnas test --spec fixtures.tsv [--grammar g.json] [--json] tabnas plugins [name] [--json] tabnas compare --a old.json --b new.json [--corpus dir|file] [--depth n] [--json] tabnas mcp # run the MCP server (stdio)
Input comes from file, or stdin when the argument is - or absent. The CLI never touches the network. tabnas mcp starts the stdio MCP server (the same server as npx @tabnas/mcp); it speaks JSON-RPC on stdout and prints nothing else there.
--json prints exactly the core result JSON: the same bytes the MCP tool returns for the same request (stable key order; the golden contract, enforced by ts/test/golden.test.js). Without --json you get a readable rendering; a parse failure prints the engine's own rendered error message.
Exit codes:
| Code | Meaning |
|---|---|
| 0 | success: parse succeeded / grammar valid / all fixture rows passed |
| 1 | the operation said no: parse failure, invalid grammar, fixture failures, unknown plugin |
| 2 | usage error: unknown flags or command, missing/unreadable files, malformed grammar JSON |
Every tool takes a serialized GrammarSpec, pure JSON. It does not take ABNF, EBNF, GBNF or jsonic source, and it never will: compiling those means running a compiler, and the tools' one hard rule is that a grammar is data, never code (ADR-10). Compile first, then pass the result.
const { abnfConvert, toPureSpec } = require('@tabnas/abnf')
const spec = toPureSpec(abnfConvert(abnfSource, { builtins: true })) // -> { options, rule, v, meta } — validates clean, safe to send
Use `toPureSpec`. It is the function for this, and the two obvious alternatives are both wrong:
abnfCompile() returns jsonic text, not an object. Useful for writing a grammar file; not what a tool argument wants.abnfConvert() alone returns a spec carrying ref (empty, when converted with builtins: true) and mark fields. The firewall rejects the *presence* of ref, not merely its contents, deliberately, since "empty enough" is not a property worth reasoning about at a security boundary, and m marks are not part of the serialized form. toPureSpec strips both and stamps v.toRecognitionSpec is the same thing for a grammar that only needs to decide accept/reject, without the tree-building builtins.
The equivalent for the other front-ends is tabnas parse --grammar g.json, where g.json is whatever your build step wrote.
compare)Two questions, reported separately, because they fail differently:
The second is the one users feel. A change that still accepts every historical document but reshapes the tree silently breaks every downstream consumer, and an acceptance-only test reports success.
The report carries evidence and confidence, never a bare verdict. There is deliberately no compatible: true field. Language inclusion is undecidable in general, so a tool that printed one would eventually be wrong in production:
proven[]. What was established statically, and on what basis. Anything outside the decidable subset is not-proven, which is a statement about this tool, not a claim that the grammars are incompatible.observed[]. What actually ran, and how much of it.changes[] / counterexamples[]. Concrete differences, with inputs.confidence + why. How much weight the *absence* of findings can bear. confidence: "low" with a stated reason is a successful run.The check that earns its keep is alternate ordering. Alternates are first-match-wins, so one inserted earlier can shadow a later one and narrow the accepted language while a set comparison calls it an addition. compare walks positions, not membership, and reports a shadowed alternate that used to be reachable.
--corpus takes a .tsv fixture file or a directory of them, loaded through @tabnas/support, the same loader the fixture runners use. Real inputs are the only tier that measures what your documents actually do:
tabnas compare --a v1.json --b v2.json --corpus ../json/test/spec
Exit code is 1 when any change is found, so it works as a release gate.
mcp.tabnas.dev serves the same seven tools over streamable HTTP (POST /mcp, plus GET /health and GET /.well-known/mcp), for agents that cannot run npx. Local stdio stays the recommended path: it is free, private, reproducible, and unlimited.
The hosted service is the same core, so it answers identically; it is also bounded, because it parses attacker-controlled text on shared infrastructure. A 256 KB body cap and 60 requests per minute per IP, both reported up front by /.well-known/mcp and named in the refusal (limit_exceeded / rate_limited) along with the local alternative. The rate limit is Cloudflare's, which counts per IP per data centre and approximately, so it is a shield against sustained abuse, not an exact quota, and a short burst may exceed 60 before refusals begin. Document content is never logged, stored, or used for training; telemetry records shape only: tool name, size *bucket*, duration, status, error code.
Published packages do not carry the fleet's contract files (the parser's npm files exclude schema/; plugin packages do not ship tabnas.plugin.json), so this repo commits generated copies in data/: the grammar and diagnostic schemas, the error-code registry, DIVERGENCE.md, and every fleet plugin descriptor (plugins.json, sorted by name). Regenerate from sibling checkouts (../ beside this repo) with:
cd ts && npm run gen-data
The build compiles data/ into ts/src/data-bundle.ts (generated, gitignored) and the code reads that static import, never the filesystem, because the hosted Worker does not have one. The test suite fails on a stale regeneration or a stale embed, and checks the embedded set against the directory rather than a hand-kept list. Derive, never duplicate (ADR-10).
data/grammar.schema.json gets the same treatment for a different reason: Ajv validates by generating JavaScript and calling new Function, which Cloudflare Workers forbid outright, so tools/build-validator.js precompiles the schema into ts/src/grammar-validator.js at build time. Same Ajv, same error shapes, compiled earlier.
cd ts
npm install npm test # builds first, then runs every test/*.test.js
`np
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