tabnas

dev.tabnas由 tabnas.dev 发布官方发布者v0.1.20更新于 Oct 24, 2026

Seven tools over the tabnas parsing engine: parse, validate, diagnose, fixtures, compare.

已验证Streamable HTTP可网页运行开发者工具数据与分析

概览

AI 生成的概览

tabnas 提供七个基于 tabnas 解析引擎的工具,让助手解析输入、校验语法、解释解析错误、运行测试样例并比较语法版本。

可以做什么
  • 用序列化语法解析输入,返回语法树或结构化诊断信息
  • 校验语法规格,包括规则引用检查,并解释解析失败原因及对应错误码条目
  • 用 TSV 测试样例对语法逐行运行并报告通过或失败
  • 列出内置语法插件并查看单个插件的完整描述
  • 将候选语法与基线语法比较,检查接受范围与语法树变化,返回证据与置信度而非简单结论
适用场景
适合在基于 tabnas 引擎开发或维护语法与解析器时使用:确认语法改动仍能接受既有文档并生成相同语法树、排查解析失败,或在助手会话中运行测试样例集。
运行要求
可使用托管的 streamable HTTP 端点,或通过 npm 包 @tabnas/mcp 以 npx 在本地运行(需 Node.js)。未声明任何认证、环境变量或请求头。语法必须以序列化 GrammarSpec JSON 传入,不支持 ABNF、EBNF 或 GBNF 源码。
安装前请注意
托管端点在共享基础设施上解析攻击者可控的文本,并设有上限:请求体 256 KB、每 IP 约每分钟 60 次请求;文档内容不会被记录或存储。本地 stdio 被描述为免费、私密且不限量。语法参数按数据处理,会先经过防火墙,拒绝原型污染键、ref 键、plugins 键以及超过 5000 条规则的语法。

安装

在 SourceWeft 中

  1. 打开 控制台中的 tabnas,将其添加到工作区。
  2. 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/dev.tabnas%2Fmcp/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。

{
  "mcpServers": {
    "tabnas": {
      "type": "http",
      "url": "https://mcp.tabnas.dev/mcp"
    }
  }
}

README

tabnas/mcp

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.

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.

Install

bash
npm install -g @tabnas/mcp     # the `tabnas` CLInpx --yes @tabnas/mcp          # run the MCP server directly (stdio)

MCP client configuration (stdio):

json
{  "mcpServers": {    "tabnas": {      "command": "npx",      "args": ["--yes", "@tabnas/mcp@<x.y.z>", "mcp"]    }  }}

Fill in <x.y.z> 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@<x.y.z> 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.)

The seven tools

ToolAnswersResult
parsedoes this input parse, and to what tree?{ok:true, tree} | {ok:false, diagnostic}
validate_grammaris this serialized GrammarSpec valid?{ok:true, v} | {ok:false, errors:[{path,message}]}
explain_parse_errorwhy did this parse fail?{failed:false} | {failed:true, diagnostic, registry}
test_grammardo these TSV fixtures pass?{pass, fail, rows:[{row,input,expected,got,ok}]}
list_pluginswhat grammar plugins exist?{plugins:[...]}
describe_pluginone plugin's full descriptorthe tabnas.plugin.json object
compare_grammarsdoes 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:

  • Every operation builds a fresh engine instance per call. 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}).
  • A 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).
  • Security (ADR-10): a serialized grammar and its options are data, never code. A firewall runs first on every grammar-accepting op and on request options, rejecting: any own key named __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".
  • A non-diagnostic engine throw (for example, 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:<code>. 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.

CLI

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:

CodeMeaning
0success: parse succeeded / grammar valid / all fixture rows passed
1the operation said no: parse failure, invalid grammar, fixture failures, unknown plugin
2usage error: unknown flags or command, missing/unreadable files, malformed grammar JSON

Passing a grammar that isn't already a GrammarSpec

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.

js
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.

Grammar compatibility (compare)

Two questions, reported separately, because they fail differently:

  1. Acceptance. Does the candidate still accept what the baseline accepted?
  2. Output. For inputs both accept, is the resulting tree the same?

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:

bash
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.

The hosted endpoint

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.

Bundled data

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 (../<repo> beside this repo) with:

bash
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.

Build & test

bash
cd tsnpm installnpm test        # builds first, then runs every test/*.test.js

npm test ends with test/workerd.test.js, which boots the real wrangler.json in real workerd and speaks HTTP to it. It is the only test whose failure means "the hosted endpoint will not deploy", and it needs the wrangler devDependency (and the workerd binary npm installs alongside it). It adds a few seconds; a Node-level test cannot replace it, because every deploy-blocking defect this repo has had was green under Node.

Working in the fleet layout (sibling checkouts beside this repo), symlink the siblings after npm install so you test against source (npm replaces these on every install, so re-make them after one):

bash
rm -rf node_modules/@tabnas/parser node_modules/@tabnas/supportln -s ../../../../parser/ts node_modules/@tabnas/parserln -s ../../../../support/ts node_modules/@tabnas/support

CI

.github/workflows/ci.yml, a caller of the org's tabnas/.github polyglot-ci.yml (ts-only, with parser and support cloned as siblings), promoted from ci/ci.yml in a14741c. A change to it is made in .github/workflows/ directly, in a reviewed pull request (admin ADR-8, as amended 2026-09-24).

CI runs test/workerd.test.js, which boots the real wrangler.json in real workerd, so the hosted endpoint's deployability is gated on every push, not discovered at deploy time.

License

MIT. See LICENSE.

来源:README.md,提交 3cc5c8c

工具

7

parse

Parse input with the tabnas engine. Returns {ok:true, tree} or, on parse failure, {ok:false, diagnostic} — the structured diagnostic described by resource tabnas://schema/diagnostic. An invalid grammar is rejected as {ok:false, errors:[{path,message}]}. Without a grammar the bare engine is used, which defines no rules and produces an undefined tree for every input.

输入参数input必填grammaroptions

validate_grammar

Validate a serialized GrammarSpec. Structural validation against the bundled grammar schema, an engine load in a fresh instance, and a check that every rule reference (`p`, `r`) names a rule the grammar actually defines — a dangling reference loads cleanly and then fails at parse time with `unknown_rule`. Returns {ok:true, v} (v = declared builtin config-schema version, absent means 1) or {ok:false, errors:[{path,message}]}. Security: a grammar carrying a `ref` key, or any function reference that is not a $-suffixed engine builtin, is rejected — validating a grammar never runs supplied code.

输入参数grammar必填

explain_parse_error

Parse input and explain the failure. Returns {failed:false} when the input parses; otherwise {failed:true, diagnostic, registry} where registry is the error-code registry entry {code,message,hint} for the diagnostic code (resource tabnas://errors), or null for a code the bundled registry does not know (e.g. a plugin-declared code).

输入参数input必填grammar

test_grammar

Run TSV fixture content against a grammar in a fresh instance, using 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:<code>. Returns {pass, fail, rows:[{row,input,expected,got,ok}]}. Refuses more than 10000 rows.

输入参数spec必填grammaroptions

list_plugins

List every bundled tabnas plugin descriptor (tabnas.plugin.json of each fleet repo), sorted by name. Returns {plugins:[...]}.

无需输入参数。

describe_plugin

The full descriptor for one plugin, by package name ('@tabnas/csv') or bare fleet name ('csv'). Unknown names get {ok:false, errors} naming the known plugins.

输入参数name必填

compare_grammars

Grammar compatibility (AX plan Phase 5): does candidate grammar B still accept what baseline A accepted, and does it build the same tree for inputs both accept? Returns EVIDENCE AND CONFIDENCE, never a bare verdict: {normalForm, proven[], observed[], changes[], counterexamples[], confidence, why}. confidence:'low' with a stated reason is a successful run, not a failure — language inclusion is undecidable in general, so anything outside the decidable subset is reported not-proven rather than incompatible. Supply `corpus` (real inputs) for the tier that measures what your documents actually do.

输入参数a必填b必填depthcorpusoptions

版本历史

6
  1. v0.1.20最新Oct 8, 2026
  2. v0.1.19Oct 7, 2026
  3. v0.1.18Oct 6, 2026
  4. v0.1.17Oct 3, 2026
  5. v0.1.16Sep 23, 2026
  6. v0.1.15Sep 16, 2026

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