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GlennRTC

HL7-Bridge MCP

by GlennRTC

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    • A
      license
      A
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      Let AI agents read, validate and acknowledge EDI documents. Parses raw X12 and EDIFACT interchanges into structured JSON, validates envelope integrity, produces plain-language summaries, and generates 997 Functional Acknowledgments.
      4
      MIT

    TDQS

    A3.9/5.0

    Scored across 4 tools

    Disambiguation4/5

    Each tool has a clear core purpose (parse, validate, map, explain), but map_v2_to_fhir and validate_message both perform validation, which could create confusion when an agent is deciding which tool to use for a raw input check. The descriptions are specific enough to generally disambiguate.

    Naming Consistency5/5

    All tool names follow a consistent verb-first snake_case pattern (parse, validate, map, explain), with clear object references. There is no mixing of casing or verb styles, making the set predictable.

    Tool Count5/5

    Four tools is a well-scoped count for an HL7-to-FHIR bridge workflow. Each tool covers a distinct step without unnecessary duplication, and nothing feels like filler.

    Completeness4/5

    The core pipeline (parse, validate, map, explain) is well covered, but a 'bridge' might imply bidirectional conversion. Since all tools are v2-to-FHIR oriented, a reverse mapping tool is a natural but missing addition, and there is no map management tool, which would be a minor gap.

    Maintenance

    ActivityStale
    ResponsivenessNo issues