{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_txn2-kubefwd","slug":"txn2-kubefwd","name":"kubefwd","type":"repo","url":"https://github.com/txn2/kubefwd","page_url":"https://unfragile.ai/txn2-kubefwd","categories":["automation"],"tags":["mcp","model-context-protocol","smithery:txn2/kubefwd"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_txn2-kubefwd__cap_0","uri":"capability://automation.workflow.bulk.service.port.forwarding.with.loopback.ip.assignment","name":"bulk-service-port-forwarding-with-loopback-ip-assignment","description":"Automatically discovers and forwards multiple Kubernetes services from specified namespaces to the local machine, assigning each service a unique loopback IP address (127.x.x.x range) to eliminate port conflicts. Uses kubectl port-forward under the hood with intelligent IP allocation logic that maps services to distinct loopback addresses, enabling simultaneous access to services that would normally compete for the same local ports. This architecture allows developers to access multiple services without manual port remapping or conflict resolution.","intents":["Forward all services in a namespace to my local machine without manual port assignment","Access multiple microservices locally without port conflicts when they use the same target ports","Bulk-configure port forwarding for an entire development environment in one command","Maintain stable loopback addresses for services across multiple forwarding sessions"],"best_for":["microservices developers working with 5+ services locally","teams standardizing local development environments across multiple engineers","developers migrating from docker-compose to Kubernetes-based local dev"],"limitations":["Loopback IP assignment is ephemeral — addresses may change across kubefwd restarts unless persisted","Requires kubectl access and valid kubeconfig context — cannot forward to clusters without authentication","Performance degrades with >50 concurrent port forwards due to kubectl process overhead","No automatic service discovery across multiple namespaces in single command — requires separate invocation per namespace"],"requires":["kubectl CLI installed and configured with valid kubeconfig","Kubernetes cluster access with permissions to list and port-forward services","Linux/macOS/Windows with loopback interface support","Network access to Kubernetes API server"],"input_types":["namespace name (string)","service selectors (optional label filters)","port mapping configuration (optional)"],"output_types":["loopback IP address mappings (structured data)","port forward process handles (system resources)","connection status indicators (boolean/enum)"],"categories":["automation-workflow","kubernetes-networking"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_txn2-kubefwd__cap_1","uri":"capability://search.retrieval.natural.language.service.query.and.filtering","name":"natural-language-service-query-and-filtering","description":"Accepts natural language queries to discover, filter, and retrieve information about forwarded Kubernetes services without requiring kubectl syntax knowledge. Parses user intent (e.g., 'show me all database services' or 'which services are using port 5432') and translates it into service queries using label selectors, namespace filters, and port matching logic. Integrates with an LLM backend (via MCP) to interpret ambiguous queries and map them to concrete Kubernetes resource attributes.","intents":["Find all services matching a description without learning kubectl query syntax","Discover which services are forwarded to a specific port or IP address","Filter services by type, tier, or other semantic attributes using natural language","Get a human-readable summary of all active forwarded services and their endpoints"],"best_for":["developers unfamiliar with kubectl label selector syntax","non-Kubernetes-expert team members needing to query service status","rapid prototyping and exploration of microservice architectures"],"limitations":["Query interpretation depends on LLM accuracy — ambiguous or poorly-phrased queries may return incorrect results","Requires MCP server connection and LLM API availability — offline mode not supported","Limited to service attributes exposed by Kubernetes API — cannot query application-level metadata","Latency of 500ms-2s per query due to LLM inference overhead"],"requires":["MCP server connection (local or remote)","LLM API access (OpenAI, Anthropic, or compatible provider)","Valid Kubernetes cluster context with service list permissions"],"input_types":["natural language query (string)","optional filters (namespace, label constraints)"],"output_types":["service list with metadata (JSON/structured)","human-readable summary (text)","filtered service objects (Kubernetes API format)"],"categories":["search-retrieval","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_txn2-kubefwd__cap_2","uri":"capability://automation.workflow.connection.status.monitoring.and.diagnostics","name":"connection-status-monitoring-and-diagnostics","description":"Continuously monitors the health and connectivity status of active port forwards, detecting broken connections, network issues, and service unavailability. Implements health checks that periodically attempt connections to forwarded service endpoints and reports latency, error rates, and connection state. Provides diagnostic output including error logs, network trace information, and suggestions for remediation (e.g., 'service pod is not running' or 'network policy blocking traffic').","intents":["Check if a forwarded service is currently accessible and responding","Diagnose why a port forward is not working or has become disconnected","Monitor connection latency and performance of forwarded services","Get alerts when a service becomes unavailable or connection quality degrades"],"best_for":["developers debugging microservice connectivity issues","teams running integration tests against local Kubernetes services","operators monitoring stability of development port-forward infrastructure"],"limitations":["Health checks add network overhead — frequent checks (sub-second intervals) may impact performance","Cannot diagnose application-level issues (e.g., service returning 500 errors) — only network/connection layer","Requires network access to service endpoints — cannot detect issues behind firewalls or network policies without explicit configuration","Diagnostic suggestions are heuristic-based and may not cover all failure modes"],"requires":["Active port forward session (from bulk-forwarding capability)","Network connectivity to forwarded service endpoints","Optional: service health check endpoint configuration (HTTP, TCP, or gRPC)"],"input_types":["service identifier (name, IP, or port)","health check configuration (optional: endpoint, protocol, interval)"],"output_types":["connection status (enum: connected, disconnected, degraded)","latency metrics (milliseconds)","error logs and diagnostic messages (text)","remediation suggestions (text)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_txn2-kubefwd__cap_3","uri":"capability://data.processing.analysis.traffic.metrics.collection.and.visualization","name":"traffic-metrics-collection-and-visualization","description":"Captures and aggregates network traffic metrics for forwarded services, including request counts, latency distributions, error rates, and bandwidth usage. Collects metrics from kubectl port-forward process statistics and optional service instrumentation (Prometheus, OpenTelemetry), then presents them through natural language summaries or structured data exports. Enables developers to understand service usage patterns and performance characteristics without setting up external monitoring infrastructure.","intents":["See how much traffic each forwarded service is receiving","Identify slow or high-latency services in the local development environment","Track error rates and failed requests to forwarded services","Export traffic metrics for performance analysis or reporting"],"best_for":["performance-conscious developers optimizing microservice interactions","teams analyzing service dependencies and communication patterns","developers preparing for production deployment by understanding local traffic characteristics"],"limitations":["Metrics collection adds ~5-10% CPU overhead per port-forward process","Limited to network-layer metrics (latency, throughput) — application-level metrics require service instrumentation","Retention is in-memory only — metrics are lost when kubefwd restarts unless explicitly exported","Requires service endpoints to be actively used — no metrics available for idle services"],"requires":["Active port forward session","Optional: Prometheus or OpenTelemetry exporter for enhanced metrics","Network access to service endpoints for traffic generation"],"input_types":["service identifier or namespace filter","time window for metrics aggregation (optional)","export format specification (JSON, Prometheus, CSV)"],"output_types":["metrics summary (structured JSON with latency, throughput, error rates)","time-series data (Prometheus format or CSV)","natural language summary (text description of traffic patterns)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_txn2-kubefwd__cap_4","uri":"capability://text.generation.language.ai.powered.port.forward.management.via.natural.language","name":"ai-powered-port-forward-management-via-natural-language","description":"Provides a conversational interface for managing port forwards using natural language commands interpreted by an LLM backend via MCP. Accepts commands like 'forward all services in the payments namespace' or 'stop forwarding the database service' and translates them into kubefwd operations. Maintains conversation context to handle follow-up commands and clarifications, enabling multi-turn interactions for complex port-forward management tasks.","intents":["Start, stop, or modify port forwards using conversational commands instead of CLI flags","Ask clarifying questions when a command is ambiguous (e.g., 'which database service — prod or staging?')","Get recommendations on port-forward configuration based on service characteristics","Manage port forwards through a chat interface without learning kubefwd command syntax"],"best_for":["developers preferring conversational interfaces over CLI syntax","teams with mixed technical backgrounds needing accessible port-forward management","rapid iteration and exploration of different forwarding configurations"],"limitations":["LLM interpretation errors can lead to unintended port-forward changes — requires confirmation prompts for destructive operations","Conversation context is stateless across sessions — no persistent command history or preferences","Latency of 1-3 seconds per command due to LLM inference, making it slower than direct CLI for repetitive tasks","Cannot handle complex conditional logic or scripted workflows — limited to single-turn or simple multi-turn interactions"],"requires":["MCP server connection with LLM backend","Valid Kubernetes cluster context","Interactive terminal or chat interface"],"input_types":["natural language command (string)","optional context or clarifications (string)"],"output_types":["confirmation message (text)","operation status (success/failure with details)","updated port-forward state (structured data)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_txn2-kubefwd__cap_5","uri":"capability://tool.use.integration.mcp.protocol.integration.for.tool.composition","name":"mcp-protocol-integration-for-tool-composition","description":"Exposes kubefwd capabilities as MCP (Model Context Protocol) tools that can be composed with other AI agents and LLM applications. Implements MCP tool schemas for port-forward operations, service queries, and diagnostics, enabling external agents to invoke kubefwd functionality as part of larger AI workflows. Supports bidirectional communication with MCP servers to receive commands and report results in a standardized format.","intents":["Integrate kubefwd port-forwarding into multi-step AI agent workflows","Allow other MCP-compatible tools to query forwarded services and their status","Compose kubefwd with deployment, testing, or monitoring tools in a unified AI agent","Enable programmatic control of port forwards from external applications via MCP"],"best_for":["AI agent developers building multi-tool workflows","teams using MCP-based development environments (Claude, etc.)","organizations standardizing on MCP for tool integration"],"limitations":["MCP protocol overhead adds ~100-200ms latency per tool invocation","Tool schemas must be manually defined and kept in sync with kubefwd implementation","No built-in error recovery or retry logic — relies on MCP client for resilience","Limited to MCP-compatible clients — cannot be used with non-MCP AI platforms"],"requires":["MCP server implementation (provided by kubefwd)","MCP-compatible client or agent framework","Network connectivity between MCP client and kubefwd server"],"input_types":["MCP tool call with parameters (JSON schema-based)","service identifiers, namespace filters, configuration options"],"output_types":["MCP tool result (JSON-structured response)","operation status and data (service lists, metrics, diagnostics)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_txn2-kubefwd__cap_6","uri":"capability://automation.workflow.persistent.port.forward.configuration.and.recovery","name":"persistent-port-forward-configuration-and-recovery","description":"Stores port-forward configurations (service mappings, loopback IP assignments, health check settings) persistently and automatically restores them on restart. Implements a configuration file format (YAML or JSON) that captures the desired state of all forwarded services, enabling developers to version-control their port-forward setup and share it across team members. Includes recovery logic that detects stale port-forward processes and re-establishes connections on restart.","intents":["Save my current port-forward configuration so I can restore it later","Share port-forward setup with teammates without manual reconfiguration","Automatically restore port forwards when kubefwd restarts or crashes","Version-control port-forward configuration alongside application code"],"best_for":["teams standardizing local development environments across multiple engineers","developers working with stable microservice architectures","projects requiring reproducible local development setups"],"limitations":["Configuration files must be manually updated if services are added/removed from cluster — no automatic sync","Loopback IP assignments may change if configuration is edited or services are reordered","No conflict detection if multiple developers use different configurations for the same services","Recovery logic cannot restore connections if services have been deleted or cluster access is lost"],"requires":["Filesystem access to store configuration files","YAML or JSON parser (built-in to kubefwd)","Kubernetes cluster access for recovery"],"input_types":["configuration file (YAML/JSON format)","service list and port-forward parameters"],"output_types":["configuration file (YAML/JSON)","recovery status (success/failure with details)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_txn2-kubefwd__cap_7","uri":"capability://planning.reasoning.error.diagnosis.and.remediation.suggestions","name":"error-diagnosis-and-remediation-suggestions","description":"Analyzes port-forward failures and connection errors using LLM-powered reasoning to identify root causes and suggest remediation steps. Correlates error messages with Kubernetes state (pod status, resource availability, network policies) and provides actionable debugging guidance. Integrates with kubectl to fetch cluster state and service logs, enabling comprehensive diagnosis without requiring developers to manually investigate.","intents":["Understand why a port forward failed or became disconnected","Get step-by-step instructions to fix a broken port forward","Diagnose network connectivity issues between local machine and Kubernetes services","Identify if the problem is in the cluster, the network, or the local machine"],"best_for":["developers unfamiliar with Kubernetes networking and troubleshooting","teams needing rapid diagnosis of port-forward issues","reducing time spent debugging local development environment problems"],"limitations":["Diagnosis accuracy depends on LLM reasoning — complex or novel failure modes may not be correctly identified","Requires kubectl access and permissions to fetch pod logs and describe resources","Cannot diagnose issues outside the Kubernetes cluster (e.g., local firewall, DNS problems) without additional context","Remediation suggestions are recommendations only — may require manual verification or adjustment"],"requires":["MCP server connection with LLM backend","kubectl CLI with cluster access and appropriate permissions","Error logs or connection failure details"],"input_types":["error message or connection failure description (string)","service identifier (optional)","cluster context (optional)"],"output_types":["root cause analysis (text)","remediation steps (ordered list)","relevant cluster state information (pod status, logs, etc.)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["kubectl CLI installed and configured with valid kubeconfig","Kubernetes cluster access with permissions to list and port-forward services","Linux/macOS/Windows with loopback interface support","Network access to Kubernetes API server","MCP server connection (local or remote)","LLM API access (OpenAI, Anthropic, or compatible provider)","Valid Kubernetes cluster context with service list permissions","Active port forward session (from bulk-forwarding capability)","Network connectivity to forwarded service endpoints","Optional: service health check endpoint configuration (HTTP, TCP, or gRPC)"],"failure_modes":["Loopback IP assignment is ephemeral — addresses may change across kubefwd restarts unless persisted","Requires kubectl access and valid kubeconfig context — cannot forward to clusters without authentication","Performance degrades with >50 concurrent port forwards due to kubectl process overhead","No automatic service discovery across multiple namespaces in single command — requires separate invocation per namespace","Query interpretation depends on LLM accuracy — ambiguous or poorly-phrased queries may return incorrect results","Requires MCP server connection and LLM API availability — offline mode not supported","Limited to service attributes exposed by Kubernetes API — cannot query application-level metadata","Latency of 500ms-2s per query due to LLM inference overhead","Health checks add network overhead — frequent checks (sub-second intervals) may impact performance","Cannot diagnose application-level issues (e.g., service returning 500 errors) — only network/connection layer","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.51,"ecosystem":0.48999999999999994,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:28.693Z","last_scraped_at":"2026-05-03T15:19:06.728Z","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=txn2-kubefwd","compare_url":"https://unfragile.ai/compare?artifact=txn2-kubefwd"}},"signature":"4eNJ98+7XqJTdtU+O9UkZhJ+YVBQ24MipPDQirJSh6jxgtw5uClTCPi4UUniiiIu9XRdqwMhsLM8jsaVtWk6Bg==","signedAt":"2026-06-23T05:53:39.104Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/txn2-kubefwd","artifact":"https://unfragile.ai/txn2-kubefwd","verify":"https://unfragile.ai/api/v1/verify?slug=txn2-kubefwd","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"}}