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FHIR MCP Server

FHIR MCP Server

by brianbastian01
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    Related Servers

    • Healthcare FHIR MCP Server

      CSOAI-ORG
      A
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      quality
      C
      maintenance
      Enables AI applications to securely search and manage healthcare data from FHIR R4-compliant servers with built-in safety validation for AI-generated clinical observations, preventing recording of physiologically impossible values.
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    • oracle-fhir-mcp

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      Enables MCP clients to explore a read-only Oracle Health (Cerner) FHIR R4 public sandbox by finding synthetic patients, inspecting which parts of their records hold data, and searching or reading trimmed FHIR resources.
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    • fhir-mcp-server

      krlz-dev
      A
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      A
      quality
      C
      maintenance
      Enables MCP clients to search FHIR R4 patients and observations, access patient data as resources, and generate clinical summaries through prompts, using a public HAPI FHIR sandbox.
      2
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    • fhir-journey-mcp

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      Gives AI agents read-only access to patient context on any FHIR R4 server, including journey timelines of encounters and appointments, open booking slots, and discharged patients whose follow-ups were never booked. Search, appointment, and follow-up tools return compact summaries, so agents can answer front-desk and outreach questions without write access.
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    • FHIR MCP Server

      baala-saravanan
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI applications to query and retrieve healthcare data (patients, conditions, observations, medications) from a public FHIR R4 server via MCP tools.
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.2/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct operation: searching for patients, retrieving demographics, retrieving observations, and summarizing conditions. There is no overlap in purpose, and the descriptions reinforce clear boundaries.

    Naming Consistency5/5

    All tool names follow a clean verb_noun pattern in snake_case: search_patients, get_patient, get_observations, summarize_conditions. The verbs and nouns are consistent and predictable.

    Tool Count5/5

    Four tools is well-scoped for a read-only FHIR sandbox focused on patient data retrieval. Each tool earns its place, covering the core actions a user would need without unnecessary bloat.

    Completeness4/5

    The tool surface covers the main patient-centric workflows: find patient, view demographics, view observations, and summarize conditions. Minor gaps exist (e.g., no raw conditions list or medication history), but the core read-only purpose is well-served.

    Resources