Seven tools over the tabnas parsing engine: parse, validate, diagnose, fixtures, compare.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
The tabnas agent tooling: one TypeScript codebase, two front-ends β
an MCP server (stdio) and the unified
tabnas CLI β 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 β 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.
MCP client configuration (stdio):
Fill in <x.y.z> with the current version β 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 β 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 β 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 β 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 (e.g. 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.
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 β 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 β 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.
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 just its contents β deliberately, since "empty enough" is not
a property worth reasoning about at a security boundary β 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[] β 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[] β what actually ran, and how much of it.changes[] / counterexamples[] β concrete differences, with inputs.confidence + why β 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 β the same loader the fixture runners use. Real inputs are
the only tier that measures what your documents actually do:
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 β it is
free, private, reproducible and unlimited.
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