{
  "resourceType" : "CapabilityStatement",
  "id" : "CEIROSMCPBridge",
  "text" : {
    "status" : "extensions",
    "div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p class=\"res-header-id\"><b>Generated Narrative: CapabilityStatement CEIROSMCPBridge</b></p><a name=\"CEIROSMCPBridge\"> </a><a name=\"hcCEIROSMCPBridge\"> </a><h2 id=\"title\">CEIR-OS MCP-OpenAI Bridge</h2><ul><li>Implementation Guide Version: 0.1.0 </li><li>FHIR Version: 4.0.1 </li><li>Supported Formats: <code>json</code></li><li>Published on: 2024-01-01 </li><li>Published by: Berlin Institute of Health at Charité </li></ul><blockquote class=\"impl-note\"><p><strong>Note to Implementers: FHIR Capabilities</strong></p><p>Any FHIR capability may be 'allowed' by the system unless explicitly marked as 'SHALL NOT'. A few items are marked as MAY in the Implementation Guide to highlight their potential relevance to the use case.</p></blockquote><h2 id=\"rest\">FHIR RESTful Capabilities</h2><div class=\"panel panel-default\"><div class=\"panel-heading\"><h3 id=\"mode1\" class=\"panel-title\">Mode: <code>server</code></h3></div><div class=\"panel-body\"><div><p>OpenAI-kompatible API (/v1/chat/completions, /v1/models) die MCP-Tools als Function Calls bereitstellt. Features: dynamische Tool-Discovery, Smart Search Retry, Emoji/XML Tool Call Parser, Result Trimming (max 4000 Zeichen).</p>\n</div></div></div></div>"
  },
  "url" : "https://bih-cei.github.io/ceir-os-ig/CapabilityStatement/CEIROSMCPBridge",
  "version" : "0.1.0",
  "title" : "CEIR-OS MCP-OpenAI Bridge",
  "status" : "active",
  "date" : "2024-01-01",
  "publisher" : "Berlin Institute of Health at Charité",
  "contact" : [{
    "name" : "Berlin Institute of Health at Charité",
    "telecom" : [{
      "system" : "url",
      "value" : "https://www.bihealth.org"
    },
    {
      "system" : "email",
      "value" : "thomas.debertolis@bih-charite.de"
    }]
  }],
  "description" : "CapabilityStatement fuer die MCP-OpenAI Bridge. Uebersetzt MCP-Tools in das OpenAI Function Calling Format fuer lokale LLMs via Ollama.",
  "jurisdiction" : [{
    "coding" : [{
      "system" : "urn:iso:std:iso:3166",
      "code" : "DE",
      "display" : "Germany"
    }]
  }],
  "kind" : "instance",
  "software" : {
    "name" : "mcp-openai-bridge",
    "version" : "0.1.0"
  },
  "implementation" : {
    "description" : "MCP-zu-OpenAI Bridge mit Smart Retry, Emoji Parser und Result Trimming",
    "url" : "http://localhost:8000"
  },
  "fhirVersion" : "4.0.1",
  "format" : ["json"],
  "rest" : [{
    "extension" : [{
      "extension" : [{
        "url" : "toolName",
        "valueString" : "openai_chat_completions"
      },
      {
        "url" : "toolDescription",
        "valueString" : "OpenAI-kompatibler Chat-Endpoint mit automatischem Tool-Routing zu MCP-Servern"
      },
      {
        "url" : "sseEndpoint",
        "valueUrl" : "http://localhost:8000/v1/chat/completions"
      }],
      "url" : "https://bih-cei.github.io/ceir-os-ig/StructureDefinition/mcp-tool-definition"
    }],
    "mode" : "server",
    "documentation" : "OpenAI-kompatible API (/v1/chat/completions, /v1/models) die MCP-Tools als Function Calls bereitstellt. Features: dynamische Tool-Discovery, Smart Search Retry, Emoji/XML Tool Call Parser, Result Trimming (max 4000 Zeichen)."
  }]
}