HL7-Bridge MCP
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- AlicenseNot gradedqualityCmaintenanceEnables users to look up how specific v2 fields, datatypes, and table codes translate to R4, and to convert whole ORM, ADT, and ORU messages into transaction Bundles with explicit warnings for unmapped values.MIT
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- AlicenseAqualityCmaintenanceLet 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.4MIT
- AlicenseNot gradedqualityBmaintenanceEnables natural-language querying of a mock legacy healthcare database and returns validated FHIR resources (Patient, Observation, Condition).MIT
TDQS
Scored across 4 tools
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.
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.
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.
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.