{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-orvalmcp","slug":"npm-orvalmcp","name":"@orval/mcp","type":"mcp","url":"https://www.npmjs.com/package/@orval/mcp","page_url":"https://unfragile.ai/npm-orvalmcp","categories":["mcp-servers","automation"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-orvalmcp__cap_0","uri":"capability://code.generation.editing.openapi.to.typescript.code.generation.with.mcp.transport","name":"openapi-to-typescript code generation with mcp transport","description":"Generates fully-typed TypeScript client code from OpenAPI 3.0+ specifications, using Model Context Protocol (MCP) as the transport layer for LLM-driven code generation workflows. Parses OpenAPI schemas into an intermediate AST representation, then templates TypeScript with proper type inference for request/response payloads, query parameters, and path variables. Integrates with Claude and other MCP-compatible LLMs to enable AI-assisted API client generation and modification.","intents":["Generate type-safe API clients from OpenAPI specs without manual boilerplate","Enable LLMs to understand and modify API integrations through structured schema context","Automate client library updates when API specs change","Reduce TypeScript API client maintenance overhead in large codebases"],"best_for":["TypeScript teams building LLM agents that need to call external APIs","API-first organizations automating client code generation","Developers integrating Claude or other MCP LLMs into API workflows"],"limitations":["OpenAPI 3.0+ only — does not support Swagger 2.0 or GraphQL schemas","Generated code assumes REST/HTTP semantics — no native gRPC or WebSocket support","MCP transport adds ~100-300ms latency per code generation request vs direct API calls","Type generation may produce overly broad union types for polymorphic OpenAPI schemas without discriminator hints"],"requires":["Node.js 16+","Valid OpenAPI 3.0+ specification (JSON or YAML)","MCP server running (e.g., Claude Desktop with MCP configured)","TypeScript 4.5+ for generated code consumption"],"input_types":["OpenAPI 3.0+ schema (JSON/YAML)","MCP protocol messages (JSON-RPC 2.0)"],"output_types":["TypeScript source code (.ts files)","Type definitions (.d.ts)","API client classes with method signatures"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-orvalmcp__cap_1","uri":"capability://tool.use.integration.schema.aware.mcp.tool.registration.for.api.operations","name":"schema-aware mcp tool registration for api operations","description":"Registers OpenAPI operations as callable MCP tools with full JSON Schema definitions for inputs and outputs, enabling LLMs to discover and invoke API endpoints through the MCP tool-calling interface. Converts OpenAPI parameter definitions (path, query, body, header) into MCP input schemas with proper validation constraints (required fields, type constraints, enum values). Handles request/response serialization and error mapping back to the LLM.","intents":["Let LLMs call external APIs through MCP tools without hardcoding endpoint URLs or parameter handling","Provide LLMs with discoverable, self-documenting API operations via MCP tool schemas","Automatically validate LLM-generated API calls against OpenAPI constraints before execution","Enable multi-step API workflows where LLMs chain tool calls across multiple endpoints"],"best_for":["LLM agent builders needing structured API access without custom tool code","Teams deploying Claude or other MCP-compatible models with external API dependencies","API providers wanting to expose endpoints to LLMs with schema-driven safety"],"limitations":["Only supports REST/HTTP operations — no async webhooks or streaming responses","Complex request bodies (deeply nested objects, discriminated unions) may produce verbose MCP schemas","No built-in request signing or OAuth2 flow — requires external auth middleware","MCP tool discovery is synchronous — large OpenAPI specs (100+ operations) may slow tool registration"],"requires":["OpenAPI 3.0+ specification with operation definitions","MCP server implementation (Node.js, Python, or other MCP SDK)","LLM client supporting MCP tool calling (Claude 3+, etc.)"],"input_types":["OpenAPI operation definitions","LLM tool call requests (JSON-RPC 2.0 MCP format)"],"output_types":["MCP tool definitions with JSON Schema","API response data (JSON, XML, or text)","Error messages and validation feedback"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-orvalmcp__cap_2","uri":"capability://code.generation.editing.bidirectional.openapi.to.typescript.type.synchronization","name":"bidirectional openapi-to-typescript type synchronization","description":"Maintains type consistency between OpenAPI schemas and generated TypeScript types through a two-way mapping system. Parses OpenAPI definitions into an intermediate representation, generates TypeScript interfaces/types with proper nullability and optionality inference, and can reverse-engineer TypeScript types back into OpenAPI schema updates. Detects schema drift and provides migration guidance when APIs change.","intents":["Keep TypeScript types in sync with OpenAPI specs without manual type duplication","Detect breaking API changes (removed fields, type changes) before they cause runtime errors","Generate TypeScript types with correct optional/required field semantics from OpenAPI","Update OpenAPI specs from TypeScript source-of-truth in code-first workflows"],"best_for":["Teams with both API servers and TypeScript clients needing single source of truth","API-first organizations automating client type generation in CI/CD pipelines","Developers maintaining large TypeScript codebases with multiple API integrations"],"limitations":["Circular type references in OpenAPI may produce recursive TypeScript types requiring manual resolution","Generic/template types in TypeScript cannot be fully represented in OpenAPI — requires custom type mappings","Reverse-engineering (TypeScript → OpenAPI) requires explicit type annotations and may lose OpenAPI-specific metadata (examples, deprecation info)","No automatic migration of existing TypeScript code when API schemas change — requires manual refactoring"],"requires":["OpenAPI 3.0+ specification","TypeScript 4.5+ with strict mode enabled for accurate type inference","Node.js 16+"],"input_types":["OpenAPI 3.0+ schema (JSON/YAML)","TypeScript source files (.ts)"],"output_types":["TypeScript type definitions (.d.ts, .ts)","Updated OpenAPI schema (JSON/YAML)","Migration reports and breaking change summaries"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-orvalmcp__cap_3","uri":"capability://automation.workflow.mcp.server.lifecycle.management.and.configuration","name":"mcp server lifecycle management and configuration","description":"Provides configuration and lifecycle management for running @orval/mcp as an MCP server, handling server initialization, tool registration, request routing, and graceful shutdown. Supports both stdio and HTTP transports for MCP communication, manages environment variables and API credentials, and provides logging/debugging hooks. Integrates with Claude Desktop and other MCP clients through standard MCP server discovery mechanisms.","intents":["Deploy @orval/mcp as a standalone MCP server for use with Claude Desktop or other MCP clients","Configure API credentials and OpenAPI specs for the MCP server without hardcoding secrets","Monitor and debug MCP server activity (tool calls, errors, latency)","Manage multiple OpenAPI specs and API integrations in a single MCP server instance"],"best_for":["Teams deploying Claude Desktop with API integrations via MCP","DevOps engineers managing MCP server infrastructure","Organizations needing centralized API access control through MCP"],"limitations":["Stdio transport requires process management (systemd, Docker, etc.) — no built-in clustering or load balancing","HTTP transport adds network latency and requires authentication/TLS configuration","No built-in request rate limiting or quota management — requires external API gateway","Server restarts require MCP client reconnection — no graceful migration of in-flight requests"],"requires":["Node.js 16+","MCP client (Claude Desktop, custom MCP client, etc.)","OpenAPI 3.0+ specifications","Environment variables or config file for API credentials"],"input_types":["Configuration file (JSON/YAML)","Environment variables","MCP protocol messages"],"output_types":["MCP server process","Logs and debug output","Tool call results"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-orvalmcp__cap_4","uri":"capability://automation.workflow.request.response.transformation.and.error.handling.middleware","name":"request/response transformation and error handling middleware","description":"Implements middleware pipeline for transforming API requests (parameter serialization, header injection, auth) and responses (deserialization, error mapping, retry logic) before passing to LLMs. Supports custom transformers for request/response mutation, automatic error classification and retry strategies (exponential backoff, circuit breaker), and response normalization to ensure consistent LLM-consumable output. Handles HTTP status codes, timeout errors, and API-specific error formats.","intents":["Automatically handle API authentication (API keys, Bearer tokens, OAuth) without exposing credentials to LLMs","Retry failed API calls with exponential backoff before returning errors to LLMs","Transform API responses into consistent formats that LLMs can reliably parse","Map API errors to human-readable messages for LLM error recovery workflows"],"best_for":["LLM agents calling unreliable or rate-limited external APIs","Teams needing to inject authentication without exposing secrets to LLMs","API integrations requiring response normalization for LLM consumption"],"limitations":["Custom transformers require JavaScript/TypeScript code — no declarative DSL for complex transformations","Retry logic is synchronous — long retry chains may block MCP requests","No built-in support for streaming responses or chunked transfer encoding","Error mapping is best-effort — novel API error formats may not be automatically recognized"],"requires":["Node.js 16+","@orval/mcp server running","API credentials (API keys, tokens, etc.) in environment or config"],"input_types":["API request parameters (path, query, body, headers)","HTTP responses (status, headers, body)"],"output_types":["Transformed API responses (JSON)","Error messages and retry metadata"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-orvalmcp__cap_5","uri":"capability://safety.moderation.openapi.schema.validation.and.constraint.enforcement","name":"openapi schema validation and constraint enforcement","description":"Validates incoming LLM tool calls against OpenAPI schema constraints (required fields, type validation, enum values, min/max bounds, pattern matching) before executing API requests. Uses JSON Schema validation with OpenAPI-specific extensions (discriminators, oneOf/anyOf resolution, format validation). Provides detailed validation error messages to LLMs for constraint violations, enabling LLMs to self-correct malformed requests.","intents":["Prevent LLMs from making invalid API calls that would fail at the API server","Provide LLMs with clear feedback on constraint violations so they can retry with corrected parameters","Enforce API contracts at the MCP layer before requests reach external APIs","Reduce API error rates and unnecessary retries by catching invalid requests early"],"best_for":["LLM agents calling strict APIs with complex validation rules","Teams wanting to reduce API error rates and improve LLM reliability","API providers exposing endpoints to LLMs with safety constraints"],"limitations":["Validation is synchronous — complex schemas with deep nesting may add 10-50ms latency per request","Custom validation logic in OpenAPI extensions (x-* fields) is not automatically enforced","Discriminator resolution requires explicit discriminator fields in OpenAPI — implicit discrimination not supported","No support for cross-field validation (e.g., 'if field A is X, then field B must be Y')"],"requires":["OpenAPI 3.0+ specification with proper schema definitions","JSON Schema validator (built-in to @orval/mcp)"],"input_types":["LLM tool call parameters (JSON)","OpenAPI schema constraints"],"output_types":["Validation pass/fail status","Detailed error messages with constraint violations"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-orvalmcp__cap_6","uri":"capability://tool.use.integration.multi.api.orchestration.and.tool.composition","name":"multi-api orchestration and tool composition","description":"Manages multiple OpenAPI specifications and API integrations within a single MCP server, enabling LLMs to compose tool calls across different APIs. Provides namespace isolation for tools from different APIs, handles cross-API dependencies (e.g., using output from API A as input to API B), and manages shared state/context across API calls. Supports tool grouping and discovery filtering to reduce cognitive load on LLMs.","intents":["Enable LLMs to orchestrate workflows across multiple external APIs in a single agent","Organize tools from different APIs into logical namespaces for better LLM discoverability","Pass data between API calls without requiring LLM intermediate reasoning","Manage API call ordering and dependencies in multi-step workflows"],"best_for":["LLM agents integrating with multiple third-party APIs (Stripe, Slack, GitHub, etc.)","Teams building complex workflows requiring coordination across API boundaries","Organizations centralizing API access through a single MCP server"],"limitations":["No automatic dependency resolution — LLMs must explicitly chain tool calls in correct order","Cross-API state management requires explicit context passing — no implicit session state","Tool discovery becomes slower with 50+ APIs — may require pagination or filtering","No built-in transaction semantics — partial failures in multi-step workflows require manual rollback logic"],"requires":["Multiple OpenAPI 3.0+ specifications","Node.js 16+","@orval/mcp server instance"],"input_types":["Multiple OpenAPI specifications (JSON/YAML)","Tool call requests from LLM"],"output_types":["Namespaced tool definitions","API responses from multiple sources","Composed workflow results"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-orvalmcp__cap_7","uri":"capability://automation.workflow.real.time.openapi.spec.hot.reloading.and.versioning","name":"real-time openapi spec hot-reloading and versioning","description":"Supports hot-reloading of OpenAPI specifications without restarting the MCP server, enabling dynamic updates to available tools as APIs evolve. Tracks OpenAPI spec versions, detects breaking changes (removed operations, type changes), and provides migration guidance. Allows LLMs to query available API versions and choose which version to use for tool calls, supporting gradual API deprecation.","intents":["Update API integrations without restarting the MCP server or disconnecting LLM clients","Detect and warn about breaking API changes before they cause LLM failures","Support multiple API versions simultaneously for gradual migration","Maintain audit trail of API spec changes for compliance and debugging"],"best_for":["Teams with rapidly evolving APIs needing zero-downtime updates","Organizations managing multiple API versions for backward compatibility","DevOps teams automating API integration updates in CI/CD pipelines"],"limitations":["Hot-reloading requires file system monitoring or external triggers — no automatic GitHub/API polling","In-flight API calls using old spec versions may fail if spec changes are incompatible","Version tracking is metadata-only — no automatic data migration between API versions","Breaking change detection is heuristic-based — may produce false positives/negatives for complex schema changes"],"requires":["OpenAPI 3.0+ specifications with version metadata","Node.js 16+","File system access or external spec update mechanism"],"input_types":["Updated OpenAPI specifications (JSON/YAML)","Version metadata"],"output_types":["Updated tool definitions","Breaking change reports","Version migration guidance"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-orvalmcp__cap_8","uri":"capability://text.generation.language.llm.friendly.api.documentation.and.tool.discovery","name":"llm-friendly api documentation and tool discovery","description":"Generates concise, LLM-optimized documentation for API tools from OpenAPI specs, including operation summaries, parameter descriptions, example requests/responses, and usage patterns. Provides tool discovery and filtering mechanisms (by tag, operation type, required authentication) to help LLMs find relevant tools. Includes example-based learning where LLMs can see successful API call patterns before attempting their own.","intents":["Help LLMs understand how to use API tools without reading full OpenAPI specs","Provide examples of successful API calls to guide LLM behavior","Enable LLMs to discover relevant tools by filtering on tags or operation types","Reduce LLM hallucination by providing clear, concise tool documentation"],"best_for":["Teams deploying LLM agents with complex API integrations","API providers wanting to improve LLM usability of their endpoints","Developers debugging LLM API call failures by examining tool documentation"],"limitations":["Documentation quality depends on OpenAPI spec quality — poorly documented APIs produce poor LLM documentation","Example generation is heuristic-based — may produce unrealistic or invalid examples","Tool discovery filtering is simple (tag-based) — no semantic search for relevant tools","Documentation is static — does not adapt based on LLM behavior or common mistakes"],"requires":["OpenAPI 3.0+ specification with descriptions and examples","Node.js 16+"],"input_types":["OpenAPI 3.0+ specification"],"output_types":["LLM-friendly tool documentation (text/markdown)","Tool discovery metadata","Example requests/responses"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+","Valid OpenAPI 3.0+ specification (JSON or YAML)","MCP server running (e.g., Claude Desktop with MCP configured)","TypeScript 4.5+ for generated code consumption","OpenAPI 3.0+ specification with operation definitions","MCP server implementation (Node.js, Python, or other MCP SDK)","LLM client supporting MCP tool calling (Claude 3+, etc.)","OpenAPI 3.0+ specification","TypeScript 4.5+ with strict mode enabled for accurate type inference","MCP client (Claude Desktop, custom MCP client, etc.)"],"failure_modes":["OpenAPI 3.0+ only — does not support Swagger 2.0 or GraphQL schemas","Generated code assumes REST/HTTP semantics — no native gRPC or WebSocket support","MCP transport adds ~100-300ms latency per code generation request vs direct API calls","Type generation may produce overly broad union types for polymorphic OpenAPI schemas without discriminator hints","Only supports REST/HTTP operations — no async webhooks or streaming responses","Complex request bodies (deeply nested objects, discriminated unions) may produce verbose MCP schemas","No built-in request signing or OAuth2 flow — requires external auth middleware","MCP tool discovery is synchronous — large OpenAPI specs (100+ operations) may slow tool registration","Circular type references in OpenAPI may produce recursive TypeScript types requiring manual resolution","Generic/template types in TypeScript cannot be fully represented in OpenAPI — requires custom type mappings","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.43,"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":"2026-05-24T12:16:23.904Z","last_scraped_at":"2026-05-03T14:23:52.972Z","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=npm-orvalmcp","compare_url":"https://unfragile.ai/compare?artifact=npm-orvalmcp"}},"signature":"wYs/JJFuRh5MviX7KRGYqhe3kKumBqAnGjZcqUT0JWG1QKQjWGH17iYdDrGi5Hk063JS4LrGhgqxvR//uUaVBQ==","signedAt":"2026-06-20T18:56:49.398Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-orvalmcp","artifact":"https://unfragile.ai/npm-orvalmcp","verify":"https://unfragile.ai/api/v1/verify?slug=npm-orvalmcp","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"}}