{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-veyrax","slug":"veyrax","name":"VeyraX","type":"mcp","url":"https://github.com/VeyraX/veyrax-mcp","page_url":"https://unfragile.ai/veyrax","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-veyrax__cap_0","uri":"capability://tool.use.integration.unified.api.abstraction.layer","name":"unified-api-abstraction-layer","description":"Provides a single standardized interface to interact with 100+ heterogeneous APIs (payment processors, communication platforms, analytics services, etc.) by normalizing their distinct authentication schemes, request/response formats, and error handling into a common schema. Uses an adapter pattern where each API integration is wrapped in a normalized handler that translates between the unified interface and provider-specific protocols, eliminating the need for developers to learn and maintain separate SDKs.","intents":["I need to switch payment providers without rewriting integration code","I want to support multiple email/SMS providers with a single codebase","I need consistent error handling across 20+ third-party services","I want to abstract away API versioning differences from my application logic"],"best_for":["teams building multi-provider SaaS platforms","developers maintaining legacy integrations across many services","startups needing rapid provider switching for cost optimization"],"limitations":["Normalization abstracts provider-specific features — advanced/niche API capabilities may not be exposed through the unified interface","Adds latency overhead for adapter translation layer (~10-50ms per request depending on complexity)","Requires maintaining adapter code for each new provider integration","Cannot fully normalize incompatible API paradigms (e.g., webhook-based vs polling-based services)"],"requires":["MCP server runtime (Node.js 16+ or compatible environment)","API credentials for each provider you want to integrate","Network connectivity to target API endpoints"],"input_types":["JSON configuration objects","provider-specific credentials/API keys","normalized request payloads"],"output_types":["normalized JSON responses","standardized error objects","provider metadata and capability declarations"],"categories":["tool-use-integration","api-abstraction"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-veyrax__cap_1","uri":"capability://tool.use.integration.mcp.based.function.registry","name":"mcp-based-function-registry","description":"Exposes all 100+ API integrations as callable MCP tools through a schema-based function registry that Claude and other MCP clients can discover and invoke. Each integration is registered with JSON Schema describing parameters, return types, and authentication requirements, enabling LLM agents to autonomously select and call the appropriate provider without explicit routing logic. The registry maintains metadata about each provider's capabilities, rate limits, and cost implications.","intents":["I want Claude to autonomously choose between Stripe, PayPal, or Square based on transaction type","I need an AI agent to send notifications via the cheapest available SMS provider","I want to expose all my integrations to an LLM without hardcoding provider selection logic","I need the agent to understand which providers support which features before attempting calls"],"best_for":["AI agent developers building autonomous multi-provider workflows","teams using Claude or other MCP-compatible LLMs for business automation","developers building no-code/low-code platforms with LLM backends"],"limitations":["Schema-based discovery requires accurate, up-to-date JSON Schema definitions for each provider — outdated schemas cause agent errors","LLM agents may make suboptimal provider choices without explicit cost/performance hints in schema metadata","No built-in circuit breaker or fallback logic — requires agent-level retry handling","Rate limit enforcement is provider-specific and not centrally managed across the registry"],"requires":["MCP client compatible with tool calling (Claude 3+, or compatible LLM)","JSON Schema definitions for each integrated provider","Provider API credentials configured in the registry"],"input_types":["JSON Schema tool definitions","provider configuration objects","tool invocation requests from MCP clients"],"output_types":["MCP tool definitions (JSON Schema format)","tool execution results","provider capability metadata"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-veyrax__cap_10","uri":"capability://automation.workflow.batch.request.processing","name":"batch-request-processing","description":"Enables batch processing of requests across multiple providers with optimized batching strategies, request deduplication, and parallel execution. Groups requests by provider to maximize batch API efficiency, implements request deduplication to avoid duplicate charges, and executes requests in parallel with configurable concurrency limits. Supports batch result aggregation and error handling for partial batch failures.","intents":["I want to send 1000 emails through multiple providers efficiently","I need to process bulk payments with automatic provider selection and batching","I want to deduplicate requests to avoid charging for duplicate operations","I need to execute requests in parallel while respecting rate limits"],"best_for":["teams processing high-volume requests across multiple providers","developers building bulk operation APIs","platforms needing to optimize for cost and latency in batch scenarios"],"limitations":["Batch processing adds complexity to error handling — partial batch failures require careful recovery logic","Request deduplication requires maintaining state and may not work across distributed systems without shared state","Parallel execution must respect provider rate limits — requires careful concurrency tuning","Batch result aggregation may be slow for very large batches (1M+ requests)"],"requires":["MCP server with batch processing engine","Batch request definitions","Concurrency and rate limit configuration"],"input_types":["batch request arrays","batching strategy configurations","deduplication rules"],"output_types":["batch result arrays","partial failure reports","deduplication statistics"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-veyrax__cap_11","uri":"capability://automation.workflow.webhook.event.handling","name":"webhook-event-handling","description":"Manages webhook event ingestion and routing from all integrated providers through a unified webhook handler. Normalizes provider-specific webhook formats into a common event schema, validates webhook signatures to prevent spoofing, and routes events to appropriate handlers based on event type and provider. Supports event deduplication, retry logic for failed handlers, and event persistence for audit trails.","intents":["I want to receive webhooks from multiple providers in a unified format","I need to validate webhook signatures to ensure events are authentic","I want to route webhook events to different handlers based on event type","I need to track all webhook events for audit and debugging purposes"],"best_for":["teams integrating webhooks from multiple providers","developers building event-driven architectures with multi-provider support","platforms needing to handle provider notifications reliably"],"limitations":["Webhook signature validation requires provider-specific logic — each provider uses different signing algorithms","Event deduplication requires maintaining state and may not work reliably across distributed systems","Webhook delivery is not guaranteed by providers — may miss events or receive duplicates","Event persistence adds storage overhead and latency"],"requires":["MCP server with webhook handler","Webhook endpoint URL exposed to the internet","Provider webhook signing keys","Event handler implementations"],"input_types":["HTTP webhook requests from providers","webhook signature validation keys","event handler configurations"],"output_types":["normalized event objects","webhook validation results","event routing decisions","event persistence records"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-veyrax__cap_2","uri":"capability://tool.use.integration.ui.component.abstraction","name":"ui-component-abstraction","description":"Abstracts UI components across different frameworks and design systems (React, Vue, web components, etc.) into a unified component interface, allowing developers to swap underlying implementations without changing application code. Components are registered with metadata describing their props, events, and styling capabilities, enabling runtime selection of the appropriate implementation based on the target platform or design system.","intents":["I want to render the same payment form in React, Vue, and vanilla JavaScript without duplicating code","I need to switch from Material Design to Tailwind components across my entire app","I want to support multiple design systems and let users choose their preferred theme","I need to abstract away framework-specific component APIs from my business logic"],"best_for":["teams building cross-framework component libraries","design system maintainers supporting multiple UI frameworks","companies with legacy codebases needing gradual framework migration"],"limitations":["Component abstraction cannot fully hide framework-specific features (React hooks, Vue composition API, etc.) — advanced use cases may require framework-specific code","Styling abstraction adds complexity when components need framework-specific CSS-in-JS or scoped styling","Performance overhead from abstraction layer may be noticeable in high-frequency re-render scenarios","Requires maintaining component implementations for each supported framework/design system"],"requires":["MCP server runtime","Target UI framework(s) installed (React, Vue, etc.)","Component definitions in the registry"],"input_types":["component configuration objects","props/attributes for component instances","styling/theming configuration"],"output_types":["rendered component instances","component metadata and capability declarations","styled markup or component trees"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-veyrax__cap_3","uri":"capability://tool.use.integration.provider.credential.management","name":"provider-credential-management","description":"Manages API credentials and authentication tokens for all integrated providers through a centralized, secure credential store. Supports multiple authentication schemes (API keys, OAuth 2.0, JWT, basic auth, custom headers) and handles token refresh, expiration tracking, and rotation. Credentials are stored encrypted and accessed through the MCP interface with fine-grained access control, preventing credential leakage across different parts of the application.","intents":["I need to securely store and rotate API keys for 50+ providers without hardcoding them","I want to support OAuth flows for providers that require user-level authentication","I need to track credential expiration and automatically refresh tokens before they expire","I want to audit which parts of my application accessed which provider credentials"],"best_for":["teams managing credentials for multi-tenant SaaS platforms","developers building integrations with OAuth-required services","security-conscious teams needing credential audit trails"],"limitations":["Credential storage security depends on the underlying MCP server's encryption implementation — no guarantee of HSM-level security","OAuth token refresh requires maintaining callback URLs and handling provider-specific token response formats","No built-in support for credential rotation policies — requires external orchestration","Credential access logging adds overhead and storage requirements for audit trails"],"requires":["MCP server with encrypted storage backend","Provider credentials (API keys, OAuth client IDs, etc.)","Network access to OAuth authorization endpoints (if using OAuth)"],"input_types":["credential objects with provider type and auth scheme","OAuth authorization codes","credential rotation/refresh requests"],"output_types":["encrypted credential references","access tokens (for OAuth flows)","credential metadata and expiration info"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-veyrax__cap_4","uri":"capability://tool.use.integration.provider.capability.discovery","name":"provider-capability-discovery","description":"Enables runtime discovery of each provider's capabilities, limitations, and supported features through metadata queries. Each provider declares its supported operations, rate limits, pricing tiers, and feature flags, allowing applications to gracefully degrade or select alternative providers when features are unavailable. Metadata is cached and can be refreshed on-demand to detect provider updates or deprecations.","intents":["I want to check if a provider supports a feature before attempting to use it","I need to know the rate limits for each provider to implement appropriate backoff strategies","I want to select the cheapest provider that supports a specific feature","I need to detect when a provider deprecates a feature and switch to an alternative"],"best_for":["teams building resilient multi-provider systems with graceful degradation","developers optimizing for cost by selecting providers based on feature/price tradeoffs","platforms needing to adapt to provider API changes without code updates"],"limitations":["Metadata accuracy depends on providers keeping their capability declarations up-to-date — stale metadata causes incorrect feature selection","Capability discovery adds latency on first use (metadata fetch) — requires caching strategy","Complex feature interactions (e.g., feature A only works with feature B) cannot be fully expressed in flat capability metadata","No built-in mechanism to detect breaking changes in provider APIs — requires external monitoring"],"requires":["MCP server with metadata registry","Provider capability definitions (JSON format)","Network access to provider capability endpoints (if using dynamic discovery)"],"input_types":["provider identifiers","capability query filters","metadata refresh requests"],"output_types":["capability metadata objects","feature support matrices","rate limit and pricing information"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-veyrax__cap_5","uri":"capability://data.processing.analysis.request.response.transformation","name":"request-response-transformation","description":"Transforms requests and responses between the unified VeyraX interface and provider-specific formats using a declarative transformation pipeline. Supports field mapping, type coercion, nested object flattening/expansion, and custom transformation functions. Transformations are composable and can be chained to handle complex data shape conversions, enabling providers with incompatible data models to work seamlessly within the unified interface.","intents":["I need to map my unified payment request format to Stripe's, PayPal's, and Square's different field names","I want to flatten nested provider responses into a consistent structure","I need to convert between different date/time formats across providers","I want to apply custom validation or enrichment logic during request/response transformation"],"best_for":["teams integrating providers with incompatible data models","developers building data transformation pipelines for multi-provider systems","platforms needing to normalize data across legacy and modern provider APIs"],"limitations":["Complex transformations can become difficult to maintain and debug — requires clear documentation and testing","Transformation logic adds latency (~5-20ms per request depending on complexity)","Custom transformation functions introduce security risks if not properly sandboxed","Bidirectional transformations (request and response) must be kept in sync manually"],"requires":["MCP server with transformation engine","Transformation definitions (JSON or code format)","Source and target data schemas"],"input_types":["unified request objects","provider-specific response objects","transformation rule definitions"],"output_types":["provider-specific request objects","unified response objects","transformation error reports"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-veyrax__cap_6","uri":"capability://automation.workflow.error.handling.and.retry.logic","name":"error-handling-and-retry-logic","description":"Provides centralized error handling and retry strategies across all 100+ provider integrations, normalizing provider-specific error codes and messages into a unified error taxonomy. Implements configurable retry policies (exponential backoff, jitter, max attempts) with provider-specific overrides, circuit breaker patterns to prevent cascading failures, and fallback provider selection when primary providers fail. Errors are logged with full context for debugging and monitoring.","intents":["I want to automatically retry failed requests with exponential backoff without writing retry logic","I need to handle provider-specific error codes (e.g., Stripe's 'card_declined' vs PayPal's 'INSTRUMENT_DECLINED')","I want to fall back to an alternative provider when the primary provider is down","I need detailed error logs with context for debugging integration failures"],"best_for":["teams building resilient multi-provider systems with high availability requirements","developers handling transient failures across heterogeneous provider APIs","platforms needing to maintain service availability despite provider outages"],"limitations":["Retry logic cannot distinguish between transient and permanent failures for all providers — may waste resources retrying unrecoverable errors","Circuit breaker patterns require careful tuning of thresholds to avoid false positives","Fallback provider selection requires manual configuration of provider preferences","Error normalization may lose provider-specific error details needed for advanced debugging"],"requires":["MCP server with error handling middleware","Provider error code mappings","Retry policy configuration","Fallback provider definitions"],"input_types":["provider API responses (including errors)","retry policy configurations","fallback provider lists"],"output_types":["normalized error objects","retry decisions and backoff delays","fallback provider recommendations","detailed error logs with context"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-veyrax__cap_7","uri":"capability://automation.workflow.rate.limiting.and.quota.management","name":"rate-limiting-and-quota-management","description":"Manages rate limits and quotas across all integrated providers through a centralized quota tracking system. Tracks per-provider rate limits, per-user quotas, and global usage caps, implementing token bucket or sliding window algorithms to enforce limits. Provides quota status queries, proactive quota warnings, and graceful degradation when limits are approached. Supports provider-specific rate limit headers and quota reset schedules.","intents":["I want to prevent my application from hitting provider rate limits","I need to track per-user API usage and enforce fair usage policies","I want to know how much quota I have remaining before hitting limits","I need to implement backoff strategies when approaching rate limits"],"best_for":["teams building multi-tenant platforms with per-user quotas","developers managing costs by enforcing usage limits","platforms needing to prevent provider rate limit violations"],"limitations":["Quota tracking adds latency and storage overhead — requires efficient in-memory or distributed cache","Provider rate limit headers are inconsistent across services — requires provider-specific parsing logic","Distributed systems need shared quota state — requires external state store (Redis, etc.)","Quota reset schedules vary by provider (hourly, daily, monthly) — requires complex scheduling logic"],"requires":["MCP server with quota tracking backend","Provider rate limit definitions","Quota enforcement policies","Optional: Redis or similar for distributed quota state"],"input_types":["quota policy definitions","provider rate limit headers","quota query requests"],"output_types":["quota status objects","rate limit enforcement decisions","quota warning alerts","usage analytics"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-veyrax__cap_8","uri":"capability://automation.workflow.provider.health.monitoring","name":"provider-health-monitoring","description":"Monitors the health and availability of all integrated providers through periodic health checks, status page polling, and error rate tracking. Maintains a health status dashboard showing which providers are operational, degraded, or down, and automatically updates provider availability metadata. Integrates with alerting systems to notify teams of provider outages and enables automatic fallback to healthy providers when primary providers become unavailable.","intents":["I want to know which providers are currently available before attempting to use them","I need to be alerted when a provider goes down so I can switch to an alternative","I want to track provider uptime and reliability metrics","I need to automatically route requests to healthy providers during outages"],"best_for":["teams running mission-critical multi-provider systems","platforms needing high availability and automatic failover","developers monitoring provider reliability for SLA compliance"],"limitations":["Health checks add network overhead and latency — requires careful scheduling to avoid excessive polling","Health check results are point-in-time snapshots — cannot detect intermittent failures between checks","Provider status pages are often inaccurate or delayed — requires multiple health check methods","Automatic failover requires pre-configured fallback providers and may introduce unexpected behavior changes"],"requires":["MCP server with health check scheduler","Provider health check endpoints or status page URLs","Alerting system integration (optional)","Fallback provider configuration"],"input_types":["health check configurations","provider status page URLs","alert notification preferences"],"output_types":["provider health status objects","health check results and metrics","availability dashboards","alert notifications"],"categories":["automation-workflow","monitoring"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-veyrax__cap_9","uri":"capability://data.processing.analysis.usage.analytics.and.cost.tracking","name":"usage-analytics-and-cost-tracking","description":"Tracks API usage and costs across all integrated providers, aggregating metrics by provider, user, feature, and time period. Calculates estimated costs based on provider pricing models and actual usage, enabling cost optimization and budget forecasting. Provides analytics dashboards showing usage trends, cost breakdowns, and cost-per-feature metrics. Supports custom cost allocation rules for multi-tenant scenarios.","intents":["I want to know how much I'm spending on each provider","I need to track which features are most expensive to operate","I want to forecast costs based on usage trends","I need to allocate provider costs to different customers or departments"],"best_for":["teams optimizing cloud spending and API costs","SaaS platforms needing to track per-customer costs","developers making provider selection decisions based on cost-effectiveness"],"limitations":["Cost tracking accuracy depends on provider pricing model accuracy — complex tiered pricing may be difficult to model","Usage metrics collection adds latency and storage overhead","Cost allocation to users/features requires custom logic and may not be fully accurate","Provider pricing changes require manual updates to cost models"],"requires":["MCP server with analytics backend","Provider pricing model definitions","Usage metrics collection","Optional: data warehouse for historical analytics"],"input_types":["API usage events","provider pricing definitions","cost allocation rules"],"output_types":["cost and usage analytics","cost breakdown reports","usage trend forecasts","cost optimization recommendations"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["MCP server runtime (Node.js 16+ or compatible environment)","API credentials for each provider you want to integrate","Network connectivity to target API endpoints","MCP client compatible with tool calling (Claude 3+, or compatible LLM)","JSON Schema definitions for each integrated provider","Provider API credentials configured in the registry","MCP server with batch processing engine","Batch request definitions","Concurrency and rate limit configuration","MCP server with webhook handler"],"failure_modes":["Normalization abstracts provider-specific features — advanced/niche API capabilities may not be exposed through the unified interface","Adds latency overhead for adapter translation layer (~10-50ms per request depending on complexity)","Requires maintaining adapter code for each new provider integration","Cannot fully normalize incompatible API paradigms (e.g., webhook-based vs polling-based services)","Schema-based discovery requires accurate, up-to-date JSON Schema definitions for each provider — outdated schemas cause agent errors","LLM agents may make suboptimal provider choices without explicit cost/performance hints in schema metadata","No built-in circuit breaker or fallback logic — requires agent-level retry handling","Rate limit enforcement is provider-specific and not centrally managed across the registry","Batch processing adds complexity to error handling — partial batch failures require careful recovery logic","Request deduplication requires maintaining state and may not work across distributed systems without shared state","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.34,"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":"2026-06-17T09:51:04.689Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=veyrax","compare_url":"https://unfragile.ai/compare?artifact=veyrax"}},"signature":"QhvT5v+jDqUmhymdByLR0AL7CydXrSyJYYdpkgAuSLC4+4IB/SyYqrCABdnubKgh2fl53HzVYcXju88Cbq9NCw==","signedAt":"2026-06-22T14:34:04.411Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/veyrax","artifact":"https://unfragile.ai/veyrax","verify":"https://unfragile.ai/api/v1/verify?slug=veyrax","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"}}