tabnas

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

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
89%
Naming quality
91%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,251Tokens (tool definitions)
~1.1 KBTypical response size
Moderate attention impact (0.98% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

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

Remote endpoints

https://mcp.tabnas.dev/mcpstreamable-http

What it can do

Tool inventory

Tools (7)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢parse(input, grammar, options)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "Source text to parse."
    },
    "grammar": {
      "type": "object",
      "description": "Serialized GrammarSpec (pure JSON, no functions). Schema: resource tabnas://schema/grammar. Grammars are validated before use; a `ref` key or a non-builtin function reference is rejected."
    },
    "options": {
      "type": "object",
      "description": "TabnasOptions applied to the fresh instance before the grammar. Data only: a plugins entry is rejected."
    }
  },
  "required": [
    "input"
  ],
  "additionalProperties": false
}
🟢validate_grammar(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.

Input Schema

{
  "type": "object",
  "properties": {
    "grammar": {
      "type": "object",
      "description": "Serialized GrammarSpec (pure JSON, no functions). Schema: resource tabnas://schema/grammar. Grammars are validated before use; a `ref` key or a non-builtin function reference is rejected."
    }
  },
  "required": [
    "grammar"
  ],
  "additionalProperties": false
}
🟢explain_parse_error(input, grammar)

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).

Input Schema

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "Source text to parse."
    },
    "grammar": {
      "type": "object",
      "description": "Serialized GrammarSpec (pure JSON, no functions). Schema: resource tabnas://schema/grammar. Grammars are validated before use; a `ref` key or a non-builtin function reference is rejected."
    }
  },
  "required": [
    "input"
  ],
  "additionalProperties": false
}
⚪test_grammar(spec, grammar, options)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "spec": {
      "type": "string",
      "description": "TSV fixture content (not a path)."
    },
    "grammar": {
      "type": "object",
      "description": "Serialized GrammarSpec (pure JSON, no functions). Schema: resource tabnas://schema/grammar. Grammars are validated before use; a `ref` key or a non-builtin function reference is rejected."
    },
    "options": {
      "type": "object",
      "properties": {
        "inputCol": {
          "type": [
            "integer",
            "string"
          ],
          "description": "Input column, by position or header name. Default 0."
        },
        "expectedCol": {
          "type": [
            "integer",
            "string"
          ],
          "description": "Expected column, by position or header name. Default 1."
        }
      },
      "additionalProperties": false
    }
  },
  "required": [
    "spec"
  ],
  "additionalProperties": false
}
🟢list_plugins

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

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢describe_plugin(name)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Plugin name."
    }
  },
  "required": [
    "name"
  ],
  "additionalProperties": false
}
⚪compare_grammars(a, b, corpus, options, depth)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "a": {
      "type": "object",
      "description": "Baseline grammar: the serialized GrammarSpec already deployed."
    },
    "b": {
      "type": "object",
      "description": "Candidate grammar: the serialized GrammarSpec proposed to replace it."
    },
    "corpus": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Inputs to replay through both grammars, comparing acceptance and tree shape."
    },
    "options": {
      "type": "object",
      "description": "TabnasOptions applied to both instances."
    },
    "depth": {
      "type": "integer",
      "minimum": 0,
      "maximum": 5,
      "description": "Derivation depth for generated inputs (default 3)."
    }
  },
  "required": [
    "a",
    "b"
  ],
  "additionalProperties": false
}

Community

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Evidence

Recent observations

verifiedversion not recorded7 tools
verifiedversion not recorded7 tools