{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_a-25-ios-mcp-code-quality-server","slug":"a-25-ios-mcp-code-quality-server","name":"ios-mcp-code-quality-server","type":"mcp","url":"https://github.com/a-25/ios-mcp-code-quality-server","page_url":"https://unfragile.ai/a-25-ios-mcp-code-quality-server","categories":["mcp-servers","testing-quality"],"tags":["mcp","model-context-protocol","smithery:a-25/ios-mcp-code-quality-server"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_a-25-ios-mcp-code-quality-server__cap_0","uri":"capability://tool.use.integration.ios.codebase.static.analysis.via.mcp.protocol","name":"ios codebase static analysis via mcp protocol","description":"Exposes iOS code quality analysis tools through the Model Context Protocol, allowing Claude and other MCP-compatible clients to invoke linting, complexity analysis, and code smell detection on Swift/Objective-C codebases. Implements MCP server architecture with tool registration endpoints that map to underlying analysis engines, enabling LLM-driven code review workflows without direct filesystem access from the client.","intents":["I want Claude to analyze my iOS codebase for code quality issues without uploading files to external services","I need to integrate iOS linting results into an AI-assisted code review workflow","I want to run SwiftLint or similar tools through an LLM agent that can reason about violations in context"],"best_for":["iOS development teams using Claude for code review automation","Solo iOS developers building LLM-powered development assistants","Teams migrating from REST-based code analysis APIs to MCP-based tool integration"],"limitations":["Requires MCP client support — not compatible with standard REST API consumers","Analysis scope limited to local filesystem; no cloud-based cross-repository analysis","Performance depends on underlying analysis tool (SwiftLint, etc.) execution time on the host machine","No built-in caching of analysis results — each invocation re-runs analysis tools"],"requires":["MCP-compatible client (Claude Desktop, or custom MCP client)","Swift/Objective-C analysis tools installed locally (SwiftLint, or equivalent)","macOS or Linux environment with iOS development toolchain","Node.js or Python runtime (depending on server implementation language)"],"input_types":["file paths (relative or absolute to iOS project root)","code snippets (Swift/Objective-C source)","configuration parameters (linting rules, severity thresholds)"],"output_types":["structured JSON with violation details (file, line, rule, severity)","plain text summaries of code quality metrics","actionable remediation suggestions"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_a-25-ios-mcp-code-quality-server__cap_1","uri":"capability://tool.use.integration.mcp.tool.registration.and.schema.mapping.for.ios.analysis","name":"mcp tool registration and schema mapping for ios analysis","description":"Implements MCP server-side tool registry that maps high-level analysis requests (e.g., 'analyze file for violations') to underlying iOS code quality tools via standardized schema definitions. Uses MCP's tool definition protocol to expose analysis capabilities with typed parameters, return schemas, and error handling, allowing clients to discover and invoke tools with IDE-like autocomplete and validation.","intents":["I want my MCP client to discover what iOS code quality checks are available without reading documentation","I need type-safe tool invocation with parameter validation before sending requests to the analysis server","I want to build a custom UI that lists available analysis tools and their parameters dynamically"],"best_for":["MCP client developers building iOS-aware code review interfaces","Teams standardizing on MCP for tool integration across multiple development domains","LLM application builders who need discoverable, self-documenting analysis capabilities"],"limitations":["Schema complexity increases with number of supported analysis tools — no automatic schema generation from tool binaries","Tool discovery is static at server startup — adding new analysis tools requires server restart","No versioning mechanism for tool schemas — breaking changes require client-side updates"],"requires":["MCP server implementation (Node.js, Python, or Rust)","Understanding of MCP tool definition schema (JSON Schema format)","iOS analysis tool binaries or libraries available on server host"],"input_types":["MCP tool definition JSON schemas","typed parameter objects matching schema definitions"],"output_types":["MCP tool response objects with structured results","error objects with diagnostic information"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_a-25-ios-mcp-code-quality-server__cap_2","uri":"capability://code.generation.editing.context.aware.code.violation.reporting.with.file.level.granularity","name":"context-aware code violation reporting with file-level granularity","description":"Parses analysis tool output (SwiftLint JSON, etc.) and enriches violation reports with source code context, including surrounding lines, violation location metadata, and rule documentation. Returns structured violation objects that include file path, line/column numbers, violation severity, rule identifier, and suggested fixes, enabling LLMs to reason about violations in their source context without requiring separate file reads.","intents":["I want Claude to see the actual code around a violation, not just the rule name and line number","I need violation reports that include severity levels so I can prioritize fixes by impact","I want to understand why a violation occurred by seeing the rule documentation inline with the violation"],"best_for":["LLM-powered code review systems that need rich context for reasoning","Teams using Claude for automated code quality improvement suggestions","Developers who want to understand violations in their full source context"],"limitations":["Context window limited by MCP message size constraints — large files may require truncation or pagination","Enrichment adds latency proportional to file size and number of violations","Requires access to source files on server host — cannot analyze violations from external/archived code","Rule documentation must be manually curated or extracted from tool metadata"],"requires":["Access to source files on the analysis server","Analysis tool output in parseable format (JSON preferred)","Rule documentation metadata (from SwiftLint rules.json or equivalent)"],"input_types":["analysis tool output (JSON from SwiftLint, etc.)","file paths to source code","rule metadata/documentation"],"output_types":["structured violation objects with context","code snippets showing violation location","rule documentation and severity metadata"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_a-25-ios-mcp-code-quality-server__cap_3","uri":"capability://data.processing.analysis.multi.file.ios.project.analysis.with.aggregated.metrics","name":"multi-file ios project analysis with aggregated metrics","description":"Orchestrates analysis across multiple Swift/Objective-C files in an iOS project, aggregating results into project-level metrics (total violations, violation distribution by rule, severity breakdown, code quality score). Implements batching and parallel execution where possible to reduce total analysis time, and returns both file-level details and project-level summaries in a single response.","intents":["I want a project-wide code quality report that shows which files have the most violations","I need to track code quality trends over time by comparing violation counts across project scans","I want to identify the most common code quality issues across my entire iOS codebase"],"best_for":["iOS teams conducting periodic code quality audits","CI/CD pipelines that need automated code quality gates","Developers building dashboards that visualize project-wide code health"],"limitations":["Analysis time scales linearly with number of files — large projects (1000+ files) may exceed MCP timeout windows","No incremental analysis — each scan re-analyzes all files even if only one changed","Aggregation logic is fixed — cannot customize which metrics are computed without server code changes","Memory usage can spike on large projects due to in-memory result aggregation"],"requires":["iOS project with discoverable source file structure","Analysis tools capable of batch processing (SwiftLint with file globbing)","Sufficient server resources (CPU, memory) for parallel analysis of large projects"],"input_types":["project root directory path","file patterns/globs to include in analysis","analysis configuration (rules to enable, severity thresholds)"],"output_types":["project-level metrics (total violations, severity distribution)","per-file violation summaries","code quality score or grade"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_a-25-ios-mcp-code-quality-server__cap_4","uri":"capability://tool.use.integration.rule.configuration.and.severity.customization","name":"rule configuration and severity customization","description":"Exposes configuration endpoints that allow clients to customize which iOS code quality rules are enabled, set severity levels (error/warning/info), and define project-specific rule exceptions. Implements configuration persistence (via config files or server state) and applies custom rules to all subsequent analysis invocations, enabling teams to tailor analysis to their coding standards without modifying the analysis tools directly.","intents":["I want to disable certain SwiftLint rules that don't match our team's coding standards","I need to treat specific violations as errors instead of warnings to enforce stricter quality gates","I want to exclude certain files or patterns from analysis (e.g., generated code, third-party libraries)"],"best_for":["Teams with custom coding standards that differ from default linting rules","Organizations enforcing different quality levels across projects (strict for core, relaxed for experiments)","CI/CD pipelines that need to fail builds on specific violation types"],"limitations":["Configuration changes require server restart or dynamic reload mechanism — no hot-swapping","No role-based access control — all clients can modify rules (security concern for shared servers)","Configuration format must match underlying tool format (SwiftLint YAML, etc.) — no abstraction layer","No audit trail of configuration changes — cannot track who modified rules or when"],"requires":["Configuration file format compatible with underlying analysis tools","Server-side persistence mechanism (filesystem, database, or in-memory state)","MCP client capability to send configuration update requests"],"input_types":["rule enable/disable flags","severity level mappings (rule -> error/warning/info)","file exclusion patterns","custom rule parameters"],"output_types":["confirmation of configuration changes","current configuration state","validation errors if configuration is invalid"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_a-25-ios-mcp-code-quality-server__cap_5","uri":"capability://code.generation.editing.violation.remediation.suggestion.generation","name":"violation remediation suggestion generation","description":"Analyzes detected violations and generates actionable remediation suggestions by combining rule documentation, violation context, and code patterns. For common violations (unused variables, naming conventions, etc.), provides code snippets showing the corrected version. Leverages rule metadata and heuristics to suggest fixes without requiring external LLM calls, enabling fast, deterministic remediation guidance.","intents":["I want to see how to fix a violation without manually looking up the rule documentation","I need code examples showing the correct pattern for violations like naming conventions or API usage","I want Claude to suggest fixes that I can apply directly to my code"],"best_for":["Developers using Claude for interactive code quality improvement","Automated code fixing systems that need deterministic remediation suggestions","Teams building IDE plugins that show inline fix suggestions"],"limitations":["Suggestion quality varies by violation type — simple violations (naming) have high-quality suggestions, complex ones (architecture) may be generic","No semantic analysis — suggestions are pattern-based and may not account for project-specific context","Cannot suggest fixes for violations that require architectural changes","Suggestion generation adds latency proportional to number of violations"],"requires":["Rule metadata with remediation guidance","Code pattern matching logic for common violation types","Access to source code context around violations"],"input_types":["violation objects with rule ID and location","source code context","rule metadata and documentation"],"output_types":["remediation suggestions (text descriptions)","code snippets showing corrected code","severity/confidence levels for suggestions"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_a-25-ios-mcp-code-quality-server__cap_6","uri":"capability://data.processing.analysis.violation.severity.classification.and.prioritization","name":"violation severity classification and prioritization","description":"Classifies code quality violations by severity level (error, warning, info) based on analyzer output and configured rules, enabling clients to prioritize remediation. Implements severity mapping from tool-specific violation types to standard severity levels, and supports custom severity overrides based on project configuration or violation patterns.","intents":["Prioritize code quality issues by severity for focused remediation efforts","Filter analysis results to show only critical errors, excluding informational warnings","Customize severity levels for specific violations based on team standards","Enable CI/CD pipelines to fail on errors while allowing warnings to pass"],"best_for":["Teams needing to triage violations by impact and effort","CI/CD pipelines with severity-based quality gates","Large codebases where addressing all violations is impractical"],"limitations":["Severity classification is heuristic-based — may not reflect actual impact of violations","Tool-specific severity mappings may not align with team priorities","No machine learning or historical data to inform severity prediction","Custom severity overrides require manual configuration per violation type"],"requires":["Analyzer output with violation type or category information","Severity mapping configuration (tool violation type → standard severity level)","Optional custom severity override rules"],"input_types":["analyzer violations with type/category","severity mapping configuration"],"output_types":["violations with normalized severity levels (error, warning, info)","sorted/filtered violation lists by severity"],"categories":["data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_a-25-ios-mcp-code-quality-server__cap_7","uri":"capability://code.generation.editing.violation.fix.suggestion.generation.and.code.transformation","name":"violation fix suggestion generation and code transformation","description":"Generates automated fix suggestions for detected violations where analyzers provide remediation hints, and implements code transformation logic to apply fixes to source files. Parses analyzer-provided fix information (line/column ranges, replacement text) and generates structured fix objects that clients can apply or present to users for approval.","intents":["Provide automated fix suggestions for code quality violations detected by analyzers","Enable Claude to suggest specific code changes to resolve violations","Apply fixes automatically to source files with user approval","Generate before/after code diffs for violation remediation"],"best_for":["Interactive code review workflows where users want to see and approve fixes","Automated remediation pipelines that apply fixes without human review","AI agents generating code improvement suggestions"],"limitations":["Fix suggestions are only available for violations where analyzers provide remediation hints","Applying multiple fixes to the same file may cause line/column offset conflicts","No semantic validation — applied fixes may introduce new violations or break code","Complex refactorings (e.g., renaming across multiple files) are not supported"],"requires":["Analyzer output with fix information (line/column ranges, replacement text)","File I/O capabilities to read and write source files","Diff generation library for before/after comparison"],"input_types":["violations with fix suggestions","source file paths"],"output_types":["structured fix objects with file, line, column, and replacement text","diff representations of proposed changes"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_a-25-ios-mcp-code-quality-server__cap_8","uri":"capability://tool.use.integration.file.level.and.project.level.analysis.scoping","name":"file-level and project-level analysis scoping","description":"Supports analysis at multiple scopes (single file, directory, entire project) with appropriate context and performance optimizations for each scope. Implements scope detection logic to determine analysis boundaries, manages file discovery for directory/project scopes, and optimizes analyzer invocation based on scope (e.g., single-file analysis skips project-wide checks).","intents":["Analyze a single file for quick feedback during editing","Analyze a directory or module for comprehensive quality checks","Run full project analysis for CI/CD quality gates","Analyze only changed files in incremental builds"],"best_for":["IDE integrations needing fast single-file analysis","CI/CD pipelines running full project analysis","Incremental analysis workflows analyzing only changed files"],"limitations":["Single-file analysis may miss cross-file violations (e.g., unused imports in other files)","Directory analysis requires file discovery — large directories may be slow","Scope detection is heuristic-based — may incorrectly determine analysis boundaries","No incremental caching — re-analyzing unchanged files wastes resources"],"requires":["File system access for file discovery","Scope specification (file path, directory path, or project root)","Analyzer support for scope-specific invocation"],"input_types":["file path (for single-file analysis)","directory path (for directory analysis)","project root path (for full project analysis)"],"output_types":["violations scoped to specified files/directories","analysis metadata (scope, file count, duration)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_a-25-ios-mcp-code-quality-server__cap_9","uri":"capability://tool.use.integration.analyzer.health.monitoring.and.error.handling","name":"analyzer health monitoring and error handling","description":"Monitors the health and availability of registered iOS analyzers, detects and reports analyzer failures, and implements graceful degradation when tools are unavailable. Implements health checks to verify analyzer installation and accessibility, captures analyzer error output, and returns structured error information to clients.","intents":["Detect when iOS analysis tools are not installed or misconfigured on the server","Report analyzer failures with diagnostic information for troubleshooting","Continue analysis with available tools when some analyzers fail","Provide clear error messages to clients when analysis cannot proceed"],"best_for":["Production MCP servers where analyzer availability is critical","Teams needing visibility into analyzer health and failures","Distributed systems where analyzer availability may vary"],"limitations":["Health checks add latency to analysis invocations","Graceful degradation may produce incomplete results — clients may not realize some checks were skipped","Error messages are tool-specific — clients need to understand analyzer-specific error codes","No automatic recovery — failed analyzers require manual intervention to restore"],"requires":["Health check logic for each analyzer (e.g., version check, help command)","Error output capture and parsing","Structured error response format"],"input_types":["analyzer configuration"],"output_types":["health status (healthy, degraded, unavailable)","error messages with diagnostic information"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["MCP-compatible client (Claude Desktop, or custom MCP client)","Swift/Objective-C analysis tools installed locally (SwiftLint, or equivalent)","macOS or Linux environment with iOS development toolchain","Node.js or Python runtime (depending on server implementation language)","MCP server implementation (Node.js, Python, or Rust)","Understanding of MCP tool definition schema (JSON Schema format)","iOS analysis tool binaries or libraries available on server host","Access to source files on the analysis server","Analysis tool output in parseable format (JSON preferred)","Rule documentation metadata (from SwiftLint rules.json or equivalent)"],"failure_modes":["Requires MCP client support — not compatible with standard REST API consumers","Analysis scope limited to local filesystem; no cloud-based cross-repository analysis","Performance depends on underlying analysis tool (SwiftLint, etc.) execution time on the host machine","No built-in caching of analysis results — each invocation re-runs analysis tools","Schema complexity increases with number of supported analysis tools — no automatic schema generation from tool binaries","Tool discovery is static at server startup — adding new analysis tools requires server restart","No versioning mechanism for tool schemas — breaking changes require client-side updates","Context window limited by MCP message size constraints — large files may require truncation or pagination","Enrichment adds latency proportional to file size and number of violations","Requires access to source files on server host — cannot analyze violations from external/archived code","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.3,"ecosystem":0.5900000000000001,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:25.061Z","last_scraped_at":"2026-05-03T15:19:13.221Z","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=a-25-ios-mcp-code-quality-server","compare_url":"https://unfragile.ai/compare?artifact=a-25-ios-mcp-code-quality-server"}},"signature":"qWBe2aZX9z7DvB4io5KoHIwJ8s69kPpA6VNN3QnPlqnyIepI0O/8C1ylbolLgW9F8nES7F3o4r9ctmywvRNaDQ==","signedAt":"2026-06-22T15:20:26.116Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/a-25-ios-mcp-code-quality-server","artifact":"https://unfragile.ai/a-25-ios-mcp-code-quality-server","verify":"https://unfragile.ai/api/v1/verify?slug=a-25-ios-mcp-code-quality-server","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"}}