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735,566 tools. Updated 2026-11-02 11:39

"A search for ANTLR4 parser generator information" matching MCP tools:

  • Preview how ANTLR4 lexer rules tokenize input text. Test grammar changes, debug tokenization issues, and verify rule matches instantly.
    MIT
  • Add lexer or parser rules to ANTLR4 grammars with auto-detection from naming case and options for skip, channel, fragment, return type, and positioning.
    MIT
  • Test if input text matches an ANTLR4 parser rule, providing match result, parse tree, and errors. Uses native runtime, falls back to simulation if unavailable.
    MIT
  • Get actionable improvement suggestions for ANTLR4 grammars, covering naming conventions, rule complexity, unused rules, undefined references, fragment opportunities, and left recursion patterns.
    MIT
  • Extract the complete structure of ANTLR4 grammar files, including rules, dependencies, imports, and validation issues. Supports multi-file grammars with automatic import resolution.
    MIT

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  • Parse invoice text into structured JSON with line items, totals, tax, validation. Detects arithmetic errors, extracts bank details.

  • Cloudflare Workers MCP server: cron-parser

  • Benchmark ANTLR4 grammars using the actual ANTLR4 Java runtime to get accurate parse times, throughput, and performance ratings for final testing and grammar comparison.
    MIT
  • Search cached Rosetta CLI documentation by keyword to quickly find command-line flags and parser information. Automatically caches docs on first use.
    MIT
  • List vanilla preset IDs for a specified generator type (e.g., loot_table, recipe). Filter results with an optional search query.
    GPL 3.0
  • Fetch all rules from an ANTLR4 grammar, optionally filtered by lexer or parser type. Returns an alphabetized list with rule definitions, types, and line numbers.
    MIT
  • Identify active Verilator runtime and parser versions plus supported rules to validate toolchain compatibility for RTL analyses.
    Apache 2.0
  • Retrieve Spine project information from the CLI, including editor version, animation counts, and warnings for files the offline parser may not understand.
    MIT
  • Search the web for information using structured queries and return organized results. Specify a country code to get localized search results.
    MIT
  • Retrieve detailed specifications and capabilities for a specific AI search parser, such as Perplexity or ChatGPT, to understand its functionality within multi-source search systems.
    MIT
  • Retrieve detailed specifications and capabilities for a specific AI parser to understand its functionality and integration requirements.
    -
  • Lists every available generator by language target with maturity and protocol capabilities. Select the matching generator to proceed with project generation and schema inspection.
    MIT
  • Scrape a URL with a pre-created AI parser to extract structured data as JSON. Use when you have a finished parser and need consistent data from similar pages.
    MIT
  • Measure if retrieved context contains sufficient information to answer a question, helping diagnose retriever misses versus generator errors in QA systems.
    Apache 2.0