MCP Kafka Schema Reg

Instructions

Implementation Reference

• core_registry_tools.py:465-572 (handler)

  The core handler function `check_compatibility_tool` that POSTs the provided schema to the registry's compatibility endpoint (/compatibility/subjects/{subject}/versions/latest) to check backward compatibility with the latest version. Handles single/multi-registry modes, normalizes response fields, adds metadata/links, and uses structured output validation.
  @structured_output("check_compatibility", fallback_on_error=True) def check_compatibility_tool( subject: str, schema_definition: Dict[str, Any], registry_manager, registry_mode: str, schema_type: str = "AVRO", context: Optional[str] = None, registry: Optional[str] = None, auth=None, headers=None, schema_registry_url: str = "", ) -> Dict[str, Any]: """ Check if a schema is compatible with the latest version. Args: subject: The subject name schema_definition: The schema definition to check schema_type: The schema type (AVRO, JSON, PROTOBUF) context: Optional schema context registry: Optional registry name (ignored in single-registry mode) Returns: Compatibility check result with structured validation and resource links """ try: payload = {"schema": json.dumps(schema_definition), "schemaType": schema_type} if registry_mode == "single": # Single-registry mode: use secure session approach client = registry_manager.get_registry() if client is None: return create_error_response( "No default registry configured", error_code="REGISTRY_NOT_FOUND", registry_mode="single", ) url = client.build_context_url(f"/compatibility/subjects/{subject}/versions/latest", context) response = client.session.post(url, data=json.dumps(payload), auth=client.auth, headers=client.headers) response.raise_for_status() result = response.json() # Add structured output metadata and normalize field names if "is_compatible" not in result: if "isCompatible" in result: result["is_compatible"] = result.pop("isCompatible") elif "compatible" in result: result["is_compatible"] = result.pop("compatible") else: # Fallback: set default value if no compatibility field is found logger.warning(f"No compatibility field found in response: {result.keys()}") result["is_compatible"] = False result["registry_mode"] = "single" result["mcp_protocol_version"] = "2025-06-18" # Add resource links registry_name = _get_registry_name(registry_mode, registry) result = add_links_to_response(result, "compatibility", registry_name, subject=subject, context=context) return result else: # Multi-registry mode: use client approach client = registry_manager.get_registry(registry) if client is None: return create_error_response( f"Registry '{registry}' not found", error_code="REGISTRY_NOT_FOUND", registry_mode="multi", ) url = client.build_context_url(f"/compatibility/subjects/{subject}/versions/latest", context) response = client.session.post(url, data=json.dumps(payload), auth=client.auth, headers=client.headers) response.raise_for_status() result = response.json() # Add structured output metadata and normalize field names if "is_compatible" not in result: if "isCompatible" in result: result["is_compatible"] = result.pop("isCompatible") elif "compatible" in result: result["is_compatible"] = result.pop("compatible") else: # Fallback: set default value if no compatibility field is found logger.warning(f"No compatibility field found in response: {result.keys()}") result["is_compatible"] = False result["registry"] = client.config.name result["registry_mode"] = "multi" result["mcp_protocol_version"] = "2025-06-18" # Add resource links result = add_links_to_response( result, "compatibility", client.config.name, subject=subject, context=context, ) return result except Exception as e: return create_error_response(str(e), error_code="COMPATIBILITY_CHECK_FAILED", registry_mode=registry_mode)
• schema_definitions.py:182-215 (schema)

  JSON Schema defining the expected output format for the check_compatibility tool response, including is_compatible boolean, compatibility_level, messages array, and metadata.
  CHECK_COMPATIBILITY_SCHEMA = { "type": "object", "properties": { "is_compatible": { "type": "boolean", "description": "Whether the schema is compatible", }, "compatibility_level": { "type": "string", "enum": [ "BACKWARD", "FORWARD", "FULL", "NONE", "BACKWARD_TRANSITIVE", "FORWARD_TRANSITIVE", "FULL_TRANSITIVE", ], "description": "Compatibility level used for check", }, "messages": { "type": "array", "items": {"type": "string"}, "description": "Detailed compatibility messages", }, "registry": { "type": "string", "description": "Registry name (multi-registry mode)", }, **METADATA_FIELDS, }, "required": ["is_compatible"], "additionalProperties": True, }
• schema_definitions.py:920-920 (registration)

  The check_compatibility tool is registered/mapped to its output schema CHECK_COMPATIBILITY_SCHEMA in the central TOOL_OUTPUT_SCHEMAS dictionary used for structured validation.
  "check_compatibility": CHECK_COMPATIBILITY_SCHEMA,