{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-swift-mcp-sdk","slug":"swift-mcp-sdk","name":"Swift MCP SDK","type":"mcp","url":"https://github.com/modelcontextprotocol/swift-sdk","page_url":"https://unfragile.ai/swift-mcp-sdk","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-swift-mcp-sdk__cap_0","uri":"capability://tool.use.integration.json.rpc.2.0.bidirectional.message.protocol.implementation","name":"json-rpc 2.0 bidirectional message protocol implementation","description":"Implements full JSON-RPC 2.0 specification with bidirectional request-response semantics, enabling both clients and servers to initiate requests and handle responses asynchronously. Uses Swift's Codable protocol for type-safe serialization/deserialization of protocol messages, with support for request IDs, error objects, and notification patterns (requests without response expectations). The protocol layer abstracts transport mechanisms, allowing the same message handling logic to work across stdio, HTTP, and network transports.","intents":["I need to send structured requests to MCP servers and handle responses reliably","I want bidirectional communication where servers can request things from clients","I need type-safe message encoding/decoding without manual JSON parsing","I need to distinguish between requests (expecting responses) and notifications (fire-and-forget)"],"best_for":["Swift developers building MCP-compliant client-server applications","Teams integrating AI models with native iOS/macOS applications","Developers needing standardized protocol implementation across multiple transports"],"limitations":["JSON-RPC 2.0 spec limits message size to what underlying transport supports (no built-in chunking)","Synchronous error handling requires explicit error type definitions; no automatic error recovery","Request batching supported but responses must be correlated manually by caller"],"requires":["Swift 5.9+","Foundation framework for Codable support","Transport implementation (StdioTransport, HTTPClientTransport, or custom)"],"input_types":["JSON objects (via Codable types)","Request/Response/Notification message structures"],"output_types":["JSON-RPC 2.0 compliant messages","Typed Swift response objects","Error objects with code and message"],"categories":["tool-use-integration","protocol-implementation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_1","uri":"capability://automation.workflow.actor.based.concurrent.client.connection.management","name":"actor-based concurrent client connection management","description":"Implements the Client actor (Sources/MCP/Base/Client.swift) using Swift's structured concurrency model to manage thread-safe connections to MCP servers. The actor encapsulates connection state, request lifecycle management, and server capability invocation, ensuring all access is serialized through actor isolation. Handles connection initialization with capability negotiation, maintains request-response correlation via message IDs, and manages cancellation tokens for in-flight requests.","intents":["I need thread-safe access to MCP server capabilities from multiple async contexts","I want to connect to an MCP server and call its tools, resources, and prompts safely","I need to track and cancel long-running requests without race conditions","I want automatic capability negotiation during connection setup"],"best_for":["Swift async/await developers building concurrent MCP clients","iOS/macOS applications requiring safe multi-threaded access to AI capabilities","Teams migrating from callback-based concurrency to structured concurrency"],"limitations":["Actor isolation adds ~5-10ms overhead per capability call due to actor boundary crossing","No built-in connection pooling; each Client actor manages single connection","Cancellation is cooperative; server must respect cancellation tokens (no forced termination)"],"requires":["Swift 5.9+ with async/await support","Transport implementation (StdioTransport, HTTPClientTransport, NetworkTransport, or custom)","Server implementing MCP specification version 2025-11-25 or compatible"],"input_types":["Transport instance","Client configuration (name, version, capabilities)","Tool/resource/prompt request parameters"],"output_types":["Tool call results","Resource content","Prompt responses","Server notifications"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_10","uri":"capability://memory.knowledge.roots.management.for.client.side.context.and.file.system.access","name":"roots management for client-side context and file system access","description":"Provides a roots system allowing clients to declare accessible file system paths or context roots that servers can reference when processing requests. Clients can list roots via listRoots() and servers can use root information to understand what resources are available. Roots support URI schemes and optional metadata, enabling servers to make context-aware decisions. The implementation allows clients to update roots dynamically, with servers receiving notifications of root changes.","intents":["I want to tell the server what file system paths I can access","I need to provide context about available resources to the server","I want to update accessible roots dynamically","I need the server to respect my file system boundaries"],"best_for":["CLI tools and IDEs exposing file system context to MCP servers","Applications with sandboxed file system access","Systems requiring context-aware server behavior"],"limitations":["Roots are declarative; no enforcement of access control (server must respect boundaries)","Root updates are notifications; no guarantee server will respect new roots immediately","No built-in path validation; clients must ensure roots are valid","Root changes don't automatically invalidate cached server state"],"requires":["Swift 5.9+","Root URI scheme definition","Server implementation respecting root boundaries"],"input_types":["Root URI (string)","Root metadata (name, description)"],"output_types":["Root list with metadata","Root change notifications"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_11","uri":"capability://automation.workflow.request.batching.with.correlated.response.handling","name":"request batching with correlated response handling","description":"Supports batching multiple requests into a single message for efficiency, with automatic response correlation based on request IDs. Clients can send multiple requests in a batch; the SDK correlates responses to requests using message IDs. The implementation handles partial failures gracefully, returning individual responses for each request. Batching reduces message overhead and network round-trips, particularly useful for high-latency transports.","intents":["I want to send multiple requests efficiently without waiting for individual responses","I need to reduce network round-trips for multiple operations","I want automatic correlation of responses to requests","I need to handle partial failures in batched requests"],"best_for":["Applications making multiple rapid requests to servers","High-latency transport scenarios (HTTP, network)","Batch processing workflows"],"limitations":["Batching adds complexity to error handling; partial failures must be handled per-request","Response ordering is not guaranteed to match request ordering","Large batches may exceed transport message size limits","Batching overhead may exceed benefits for small numbers of requests"],"requires":["Swift 5.9+","Transport supporting batch messages"],"input_types":["Array of requests"],"output_types":["Array of responses (in any order)","Per-request error responses"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_12","uri":"capability://automation.workflow.testing.infrastructure.with.mocktransport.and.integration.testing.utilities","name":"testing infrastructure with mocktransport and integration testing utilities","description":"Provides testing utilities including MockTransport for in-memory testing without real network connections, and integration testing helpers for roundtrip testing of client-server interactions. MockTransport enables unit testing of MCP clients and servers in isolation, while integration tests verify end-to-end behavior. The implementation includes test doubles for all major components, enabling comprehensive testing without external dependencies.","intents":["I want to unit test my MCP client without a real server","I need to test my MCP server without a real client","I want to verify end-to-end client-server interactions","I need to test error handling and edge cases"],"best_for":["Developers writing unit tests for MCP applications","CI/CD pipelines requiring fast, isolated tests","Teams building MCP servers and clients"],"limitations":["MockTransport doesn't simulate network latency or failures","Integration tests require both client and server implementations","Test doubles may not cover all edge cases of real transports","No built-in performance testing utilities"],"requires":["Swift 5.9+","XCTest framework","MockTransport implementation"],"input_types":["Test client/server configurations","Mock request/response sequences"],"output_types":["Test results","Assertion failures"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_13","uri":"capability://safety.moderation.error.handling.with.typed.error.responses.and.recovery.patterns","name":"error handling with typed error responses and recovery patterns","description":"Implements structured error handling using typed error responses that include error codes, messages, and optional data. Errors are propagated through the JSON-RPC 2.0 protocol with standardized error codes (parse error, invalid request, method not found, invalid params, internal error, server error). The implementation provides error recovery patterns and allows servers to define custom error codes. Clients can match on error codes to implement specific recovery logic.","intents":["I want to handle MCP errors with specific recovery logic","I need to distinguish between different types of errors","I want to provide detailed error information to clients","I need to implement custom error codes for domain-specific errors"],"best_for":["Applications requiring robust error handling","Systems with domain-specific error codes","Teams implementing error recovery strategies"],"limitations":["Error codes are limited by JSON-RPC 2.0 specification","Custom error codes require agreement between client and server","No built-in error recovery; clients must implement retry logic","Error messages are not localized; clients must handle translation"],"requires":["Swift 5.9+","Error type definitions","Server implementation of error handling"],"input_types":["Error code (integer)","Error message (string)","Error data (optional)"],"output_types":["Typed error responses","Error recovery actions"],"categories":["safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_14","uri":"capability://automation.workflow.notification.system.for.asynchronous.server.to.client.events","name":"notification system for asynchronous server-to-client events","description":"Implements a notification system allowing servers to send asynchronous events to clients without requiring a corresponding request. Notifications are one-way messages (no response expected) used for log messages, resource updates, tool list changes, root changes, and progress updates. The implementation uses the JSON-RPC 2.0 notification pattern (requests without IDs) and allows clients to subscribe to notification types via handlers.","intents":["I want to receive asynchronous updates from the server","I need to be notified when server state changes","I want to implement real-time monitoring of server operations","I need to handle multiple types of notifications"],"best_for":["Applications requiring real-time server updates","Monitoring and observability systems","Interactive applications with live server state"],"limitations":["Notifications are best-effort; no guaranteed delivery","No ordering guarantees for multiple notifications","Clients must implement handlers for each notification type","No built-in notification filtering on server side"],"requires":["Swift 5.9+","Client notification handlers","Transport supporting bidirectional messaging"],"input_types":["Notification type (string)","Notification data (JSON object)"],"output_types":["Notification events","Handler invocations"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_2","uri":"capability://tool.use.integration.multi.transport.abstraction.layer.with.pluggable.implementations","name":"multi-transport abstraction layer with pluggable implementations","description":"Provides a Transport protocol abstraction enabling the same client/server code to work across stdio, HTTP, network, and in-memory transports. Each transport implementation handles protocol-specific details: StdioTransport uses swift-system for cross-platform file descriptor operations, HTTPClientTransport uses Server-Sent Events (SSE) for server-to-client messages, NetworkTransport handles TCP/IP connections, and InMemoryTransport enables testing. The abstraction layer decouples message protocol (JSON-RPC 2.0) from transport mechanism, allowing custom transports to be implemented by conforming to the Transport protocol.","intents":["I want to use the same MCP client code with different transport mechanisms","I need to test MCP applications without real network connections","I want to add custom transport support for specialized environments (WebSocket, gRPC, etc.)","I need cross-platform stdio communication that works on macOS, Linux, and Windows"],"best_for":["SDK developers extending MCP with custom transports","Teams testing MCP applications in CI/CD pipelines","Applications requiring multiple transport options (CLI tools, server apps, mobile apps)","Developers building MCP integrations for specialized environments"],"limitations":["Each transport has different latency characteristics (stdio ~1-5ms, HTTP ~50-200ms, network ~10-100ms)","HTTPClientTransport requires SSE support; not suitable for request-response-only patterns","Custom transport implementation requires understanding of async/await and error handling patterns","No automatic transport fallback; must explicitly select transport at initialization"],"requires":["Swift 5.9+","swift-system package (for StdioTransport)","swift-nio package (for HTTP server transports)","eventsource package (for HTTPClientTransport on Apple platforms)"],"input_types":["Transport configuration (host, port, command, etc.)","JSON-RPC 2.0 messages"],"output_types":["JSON-RPC 2.0 messages","Transport-specific error information"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_3","uri":"capability://tool.use.integration.tool.capability.exposure.and.invocation.with.schema.validation","name":"tool capability exposure and invocation with schema validation","description":"Enables servers to expose tools (functions) to clients with JSON Schema descriptions and input validation, and enables clients to discover and invoke those tools. Servers register tools with the SDK, which handles schema serialization and parameter validation. Clients call listTools() to discover available tools, then callTool() to invoke them with validated parameters. The implementation uses Codable for type-safe parameter handling and JSON Schema for cross-language compatibility, supporting tools with complex nested parameters and return types.","intents":["I want to expose Swift functions as callable tools to MCP clients","I need to discover what tools a server provides before calling them","I want parameter validation and type safety when calling remote tools","I need to support tools with complex input/output schemas"],"best_for":["Swift developers building MCP servers that expose capabilities to AI models","Teams integrating Swift business logic with LLM-based agents","Applications needing schema-driven tool discovery and invocation"],"limitations":["Tool schemas must be manually defined or derived from Codable types; no automatic reflection","Tool execution is synchronous from client perspective; long-running tools block the client","No built-in tool versioning; schema changes require client re-discovery","Parameter validation happens at invocation time; no pre-validation of schemas"],"requires":["Swift 5.9+","Codable types for tool parameters and return values","JSON Schema definitions for tool inputs"],"input_types":["Tool name (string)","Tool parameters (JSON object matching schema)","Tool definitions with schema"],"output_types":["Tool execution results (JSON-serializable types)","Tool list with schemas","Error responses for invalid parameters"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_4","uri":"capability://memory.knowledge.resource.management.with.content.streaming.and.change.notifications","name":"resource management with content streaming and change notifications","description":"Provides a resource system allowing servers to expose files, documents, or data streams to clients with automatic change notifications. Servers register resources with URI schemes and content providers; clients discover resources via listResources() and read content via readResource(). The implementation supports streaming large resources without loading into memory, and servers can emit resource update notifications to alert clients of changes. Resources are identified by URI, enabling hierarchical organization and filtering.","intents":["I want to expose files or data from my server to MCP clients","I need to stream large resources without loading them entirely into memory","I want to notify clients when resources change","I need to organize resources hierarchically by URI"],"best_for":["MCP servers exposing file systems, databases, or document stores","Applications with large datasets that need streaming access","Systems requiring real-time resource change notifications"],"limitations":["Resource streaming requires transport support for chunked responses; not all transports support this equally","Change notifications are best-effort; no guaranteed delivery or ordering","No built-in caching; clients must manage resource content locally if needed","Resource access control must be implemented by server; SDK provides no authorization layer"],"requires":["Swift 5.9+","Transport supporting streaming (HTTPClientTransport, NetworkTransport)","Resource URI scheme definition"],"input_types":["Resource URI (string)","Resource metadata (name, description, MIME type)","Resource content (any Codable type or raw bytes)"],"output_types":["Resource list with metadata","Resource content (streamed or buffered)","Resource change notifications"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_5","uri":"capability://text.generation.language.prompt.template.system.with.dynamic.parameter.substitution","name":"prompt template system with dynamic parameter substitution","description":"Implements a prompt management system allowing servers to expose reusable prompt templates with parameters that clients can discover and instantiate. Servers register prompts with descriptions and argument schemas; clients call listPrompts() to discover available prompts, then getPrompt() to retrieve filled prompts with parameters substituted. Prompts support multiple arguments with descriptions, enabling AI models to understand what parameters are available and how to use them. The implementation uses Codable for type-safe argument handling.","intents":["I want to expose reusable prompt templates to MCP clients","I need clients to discover what prompts are available and what parameters they accept","I want to dynamically generate prompts with client-provided parameters","I need to standardize prompts across multiple AI model interactions"],"best_for":["MCP servers providing domain-specific prompts to AI models","Teams standardizing prompt engineering across applications","Systems requiring dynamic prompt generation with user inputs"],"limitations":["Prompt templates are static; no support for conditional logic or branching","Parameter substitution is simple string replacement; no advanced templating","No built-in prompt versioning or A/B testing support","Prompt discovery is synchronous; large numbers of prompts may impact performance"],"requires":["Swift 5.9+","Prompt template definitions with argument schemas","Codable types for prompt arguments"],"input_types":["Prompt name (string)","Prompt arguments (JSON object matching schema)"],"output_types":["Prompt list with descriptions and argument schemas","Filled prompt text with parameters substituted"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_6","uri":"capability://planning.reasoning.server.to.client.sampling.and.elicitation.with.llm.integration","name":"server-to-client sampling and elicitation with llm integration","description":"Enables servers to request LLM completions and user input from clients during request processing, supporting agentic workflows where servers make decisions based on model outputs. Servers call client.sample() to request model completions with specified parameters (model, temperature, max tokens, etc.), and client.elicit() to request user input. Clients implement these handlers to integrate with their LLM providers or user interfaces. The implementation uses async/await for non-blocking requests and supports streaming responses.","intents":["I want my MCP server to request LLM completions from the client","I need to ask users for input during server request processing","I want to implement agentic workflows where servers make decisions based on model outputs","I need to support multiple LLM providers through client-side handlers"],"best_for":["MCP servers implementing agentic or multi-turn workflows","Teams building AI-powered applications with bidirectional model access","Systems requiring dynamic decision-making based on model outputs"],"limitations":["Sampling requests are synchronous from server perspective; blocks server processing until response received","No built-in model provider abstraction; clients must implement provider-specific logic","Streaming responses require transport support; not all transports handle streaming equally","No automatic retry or fallback if sampling fails; server must handle errors explicitly"],"requires":["Swift 5.9+","Client implementation of sampling and elicitation handlers","LLM API access (OpenAI, Anthropic, etc.) on client side"],"input_types":["Sampling request (model, messages, temperature, max_tokens, etc.)","Elicitation request (prompt, optional context)"],"output_types":["Model completion (text or streamed tokens)","User input (text)","Error responses"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_7","uri":"capability://automation.workflow.structured.logging.with.server.to.client.log.streaming","name":"structured logging with server-to-client log streaming","description":"Implements a logging system where servers emit structured log messages that clients receive as notifications, enabling real-time monitoring and debugging of server operations. Uses swift-log for structured logging throughout the SDK, with support for log levels (debug, info, warning, error) and metadata. Servers emit logs via notifications; clients subscribe to log notifications and can filter by level or metadata. The implementation integrates with Swift's standard logging infrastructure, allowing logs to be captured by system loggers or custom handlers.","intents":["I want to monitor server operations in real-time through log messages","I need structured logging with metadata for debugging","I want to filter logs by level or metadata on the client side","I need to integrate MCP logging with my application's logging system"],"best_for":["Developers debugging MCP server behavior","Operations teams monitoring MCP applications","Teams integrating MCP with centralized logging systems"],"limitations":["Log streaming is best-effort; no guaranteed delivery or ordering","High-volume logging can impact performance; no built-in rate limiting","Log filtering happens on client side; server sends all logs regardless","No built-in log persistence; clients must implement storage if needed"],"requires":["Swift 5.9+","swift-log package","Client implementation of log notification handlers"],"input_types":["Log level (debug, info, warning, error)","Log message (string)","Log metadata (key-value pairs)"],"output_types":["Log notifications with level, message, and metadata","Filtered log streams"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_8","uri":"capability://automation.workflow.request.lifecycle.management.with.cancellation.and.progress.tracking","name":"request lifecycle management with cancellation and progress tracking","description":"Provides mechanisms for tracking in-flight requests, cancelling long-running operations, and reporting progress to clients. Clients can cancel requests via cancellation tokens; servers respect cancellation and stop processing. Progress tracking allows servers to report completion percentage or status updates during long operations via notifications. The implementation uses Swift's Task cancellation model for cooperative cancellation and supports progress notifications for real-time feedback.","intents":["I want to cancel long-running MCP requests from the client","I need to report progress during long server operations","I want to implement timeout handling for requests","I need to clean up resources when requests are cancelled"],"best_for":["Applications with long-running server operations","User-facing applications requiring cancellation UI","Systems needing progress feedback for large operations"],"limitations":["Cancellation is cooperative; server must check cancellation token regularly","Progress tracking requires server implementation; no automatic progress calculation","No built-in timeout enforcement; clients must implement timeout logic","Cancellation may not immediately stop server processing; depends on server implementation"],"requires":["Swift 5.9+ with Task cancellation support","Server implementation of cancellation token checking","Progress notification handlers on client side"],"input_types":["Cancellation token","Progress update (percentage, status message)"],"output_types":["Cancellation acknowledgement","Progress notifications","Cancellation error responses"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-swift-mcp-sdk__cap_9","uri":"capability://tool.use.integration.capability.negotiation.and.feature.discovery.during.connection.initialization","name":"capability negotiation and feature discovery during connection initialization","description":"Implements automatic capability negotiation when clients connect to servers, allowing both sides to declare supported features (roots, sampling, elicitation) and agree on protocol version. During initialization, clients send their capabilities and configuration; servers respond with their capabilities. The implementation uses the Capability system to track which features are supported, enabling graceful degradation when features are unavailable. Clients can query server capabilities before attempting to use features.","intents":["I want to discover what capabilities a server supports before using them","I need to declare my client capabilities to the server","I want to handle servers with different feature sets gracefully","I need to negotiate protocol version compatibility"],"best_for":["Clients supporting multiple server versions with different capabilities","Applications requiring feature detection before capability use","Teams building extensible MCP systems with optional features"],"limitations":["Capability negotiation happens once at connection time; no dynamic capability changes","No built-in fallback mechanism; clients must implement feature degradation","Capability mismatch errors are returned at connection time; no partial connections","No capability versioning; breaking changes require protocol version bump"],"requires":["Swift 5.9+","Server implementing capability negotiation","Client capability declarations"],"input_types":["Client capabilities (roots, sampling, elicitation)","Client configuration"],"output_types":["Server capabilities","Protocol version confirmation","Capability mismatch errors"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["Swift 5.9+","Foundation framework for Codable support","Transport implementation (StdioTransport, HTTPClientTransport, or custom)","Swift 5.9+ with async/await support","Transport implementation (StdioTransport, HTTPClientTransport, NetworkTransport, or custom)","Server implementing MCP specification version 2025-11-25 or compatible","Root URI scheme definition","Server implementation respecting root boundaries","Transport supporting batch messages","XCTest framework"],"failure_modes":["JSON-RPC 2.0 spec limits message size to what underlying transport supports (no built-in chunking)","Synchronous error handling requires explicit error type definitions; no automatic error recovery","Request batching supported but responses must be correlated manually by caller","Actor isolation adds ~5-10ms overhead per capability call due to actor boundary crossing","No built-in connection pooling; each Client actor manages single connection","Cancellation is cooperative; server must respect cancellation tokens (no forced termination)","Roots are declarative; no enforcement of access control (server must respect boundaries)","Root updates are notifications; no guarantee server will respect new roots immediately","No built-in path validation; clients must ensure roots are valid","Root changes don't automatically invalidate cached server state","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.35,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.049Z","last_scraped_at":"2026-05-03T14:00:18.053Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=swift-mcp-sdk","compare_url":"https://unfragile.ai/compare?artifact=swift-mcp-sdk"}},"signature":"eD9YEBkDNhXq2f4nCMmSGgGNRxrgx4u6LiqzB97p2Zb2cm1wq2EaJKHKqVwZmmWKlD+VhFAne6bicUEkPvEcBg==","signedAt":"2026-06-23T04:09:34.597Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/swift-mcp-sdk","artifact":"https://unfragile.ai/swift-mcp-sdk","verify":"https://unfragile.ai/api/v1/verify?slug=swift-mcp-sdk","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}