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The server handles idempotency concerns (e.g., stopping an already-stopped container) and propagates operation results back to the MCP client.","intents":["Start or stop containers as part of an automated deployment or maintenance workflow","Restart a misbehaving service container without manual intervention","Clean up stopped containers or remove containers as part of infrastructure teardown","Implement self-healing workflows where an agent restarts containers based on health checks"],"best_for":["DevOps automation agents managing container deployments","Self-healing infrastructure systems that respond to container failures","Teams automating container lifecycle as part of CI/CD or infrastructure-as-code workflows"],"limitations":["No graceful shutdown timeout configuration — stop operations use Docker's default timeout (10s) before force-killing","No transaction semantics — if a multi-container operation fails partway through, no automatic rollback","Restart operations are simple stop-then-start; no support for rolling restarts or blue-green deployment patterns","No pre/post-operation hooks or validation — agent must handle dependency ordering itself"],"requires":["Docker daemon running and accessible","Docker API permissions to modify container state (requires elevated privileges on some systems)"],"input_types":["container identifier (name or ID)","operation type (start, stop, restart, remove)"],"output_types":["operation status (success/failure)","error message if operation failed"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-docker__cap_3","uri":"capability://data.processing.analysis.container.file.system.access.and.inspection","name":"container file system access and inspection","description":"Provides MCP tools to read, write, and inspect files within running containers by translating file operations into docker cp and docker exec commands. The server handles path resolution, permission checking, and content encoding (text vs binary) to enable agents to inspect logs, configuration files, and application state without entering the container interactively.","intents":["Read application logs or configuration files from inside a container for debugging","Inspect container file system state to diagnose application issues","Write configuration or script files into a container for dynamic configuration","Extract artifacts (dumps, reports) from a container to the host for analysis"],"best_for":["Debugging workflows where agents need to inspect container internals","Log aggregation and analysis agents that pull logs from multiple containers","Configuration management systems that need to modify container files dynamically"],"limitations":["File operations are limited to paths accessible by the container's user — no privilege escalation within the container","Large file transfers may be slow or timeout depending on MCP client timeout policies","Binary file handling is limited — encoding/decoding adds overhead and may corrupt binary data","No atomic multi-file operations — each file read/write is a separate docker cp invocation","Path traversal and symlink handling depends on Docker's security model; no additional validation"],"requires":["Docker daemon running and accessible","Container must be running (docker cp requires container to exist, but docker exec requires it to be running)"],"input_types":["container identifier","file path within container","file content (for write operations)"],"output_types":["file content as text or base64-encoded binary","file metadata (size, permissions, modification time)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-docker__cap_4","uri":"capability://data.processing.analysis.container.environment.variable.inspection.and.modification","name":"container environment variable inspection and modification","description":"Provides MCP tools to read and modify environment variables within running containers by inspecting container configuration and using docker exec to set variables dynamically. The server exposes container environment metadata and allows agents to update variables without restarting the container (for variables read at runtime) or to prepare environment changes for restart.","intents":["Inspect what environment variables are set in a container for debugging configuration issues","Dynamically update application configuration via environment variables without container restart","Prepare environment variable changes for a container restart","Audit environment variable usage across multiple containers"],"best_for":["Configuration management agents that adjust application settings dynamically","Debugging workflows where environment configuration is suspected as the issue","Teams using environment-based configuration (12-factor app pattern)"],"limitations":["Environment variables set at container start time (via docker run -e or Dockerfile ENV) cannot be modified without restart","Variables set dynamically via docker exec are lost on container restart unless persisted elsewhere","No validation of variable format or values — agent is responsible for ensuring valid configuration","No transaction semantics — if setting multiple variables fails partway, no automatic rollback","Reading environment from container requires docker inspect or docker exec; no direct API access to original run-time environment"],"requires":["Docker daemon running and accessible","Container must be running for dynamic variable modification"],"input_types":["container identifier","environment variable name and value (for modification)"],"output_types":["structured map of environment variables","confirmation of variable modification"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-docker__cap_5","uri":"capability://data.processing.analysis.container.resource.monitoring.and.stats.collection","name":"container resource monitoring and stats collection","description":"Provides MCP tools to query Docker container resource usage statistics (CPU, memory, network I/O, block I/O) by polling the Docker stats API. The server translates real-time container metrics into structured data that agents can use for monitoring, alerting, or auto-scaling decisions.","intents":["Monitor container resource consumption to detect performance issues or resource leaks","Collect metrics for alerting workflows (e.g., restart container if memory exceeds threshold)","Implement auto-scaling logic based on container resource usage","Audit resource usage across multiple containers for capacity planning"],"best_for":["Infrastructure monitoring agents that need real-time container metrics","Auto-scaling systems that make decisions based on resource consumption","Debugging workflows investigating container performance issues"],"limitations":["Stats are point-in-time snapshots; no historical data or time-series aggregation — agent must implement its own metrics storage","Docker stats API has ~1-2 second latency; not suitable for sub-second monitoring","Metrics are relative to the container's cgroup limits, not absolute host resources — interpretation depends on container resource constraints","No built-in alerting or threshold enforcement — agent must implement decision logic"],"requires":["Docker daemon running and accessible","Container must be running to collect stats"],"input_types":["container identifier"],"output_types":["structured metrics object (CPU %, memory usage, network I/O, block I/O)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-docker__cap_6","uri":"capability://data.processing.analysis.container.log.streaming.and.retrieval","name":"container log streaming and retrieval","description":"Provides MCP tools to retrieve container logs (stdout/stderr) by querying Docker's log driver, with support for filtering by timestamp, tail count, and follow mode. The server handles log encoding, stream buffering, and pagination to allow agents to inspect application output for debugging or log aggregation.","intents":["Retrieve recent logs from a container to diagnose application failures or errors","Stream logs in real-time to an agent for live monitoring or incident response","Aggregate logs from multiple containers for centralized analysis","Search logs for specific error patterns or events"],"best_for":["Debugging agents that need to inspect application logs","Log aggregation and analysis workflows","Incident response systems that collect logs for root cause analysis"],"limitations":["Log retrieval depends on Docker's configured log driver (json-file, syslog, etc.); some drivers don't support log retrieval","Large logs may exceed MCP message size limits; pagination/tail filtering is required for large containers","Log timestamps are container-relative; no automatic timezone conversion or correlation with host time","Follow mode (streaming logs) may timeout if MCP client has strict timeout policies","No structured log parsing — logs are returned as raw text; agent must parse format-specific content"],"requires":["Docker daemon running and accessible","Container must have logs available (depends on log driver configuration)"],"input_types":["container identifier","optional filters (tail count, since timestamp, until timestamp, follow flag)"],"output_types":["log text (stdout/stderr combined or separated)","log metadata (timestamps, stream source)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-server-docker__cap_7","uri":"capability://data.processing.analysis.container.network.inspection.and.connectivity.testing","name":"container network inspection and connectivity testing","description":"Provides MCP tools to inspect container network configuration (IP addresses, port mappings, network connections) and test connectivity by executing network diagnostic commands (ping, curl, netstat) inside containers. The server translates network queries into docker exec invocations, allowing agents to diagnose network issues without manual container access.","intents":["Inspect container IP addresses and port mappings to verify network configuration","Test connectivity between containers or to external services","Diagnose network issues (DNS resolution, routing, firewall) by running diagnostic commands","Verify that a service is listening on expected ports before routing traffic to it"],"best_for":["Debugging agents troubleshooting container networking issues","Health check systems that verify service connectivity","Network configuration validation workflows"],"limitations":["Network diagnostics depend on tools available in the container image (ping, curl, netstat, etc.); minimal images may lack these tools","Connectivity tests are from the container's perspective; results may differ from host or external perspectives","No built-in DNS resolution caching or retry logic — agent must handle transient network failures","Port mapping inspection requires docker inspect; no real-time connection state tracking"],"requires":["Docker daemon running and accessible","Container must be running and have network diagnostic tools installed"],"input_types":["container identifier","target host/IP for connectivity testing","port number (optional)"],"output_types":["network configuration (IP addresses, port mappings)","connectivity test results (success/failure, latency)","diagnostic command output (netstat, route, etc.)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ (MCP server runtime)","Docker daemon running and accessible via /var/run/docker.sock or DOCKER_HOST environment variable","MCP-compatible client (Claude, custom agent framework, etc.)","Appropriate Docker permissions for the user running the MCP server process","Docker daemon running and accessible","Docker API permissions for the MCP server process","Docker API permissions to modify container state (requires elevated privileges on some systems)","Container must be running (docker cp requires container to exist, but docker exec requires it to be running)","Container must be running for dynamic variable modification","Container must be running to collect stats"],"failure_modes":["Requires Docker daemon access on the host running the MCP server — no remote Docker support without additional networking setup","No built-in sandboxing or command whitelisting — any MCP client can execute arbitrary commands in any accessible container","Command execution is synchronous and blocking — long-running operations will timeout if MCP client has strict timeout policies","No persistent session state — each command invocation is isolated; multi-step workflows require explicit state management by the LLM agent","Returns only containers accessible to the Docker daemon user — no cross-daemon or remote Docker enumeration without explicit configuration","Metadata is point-in-time snapshot; no streaming updates or event subscriptions for container lifecycle changes","Large deployments with hundreds of containers may return verbose output that exceeds MCP context limits","No graceful shutdown timeout configuration — stop operations use Docker's default timeout (10s) before force-killing","No transaction semantics — if a multi-container operation fails partway through, no automatic rollback","Restart operations are simple stop-then-start; no support for rolling restarts or blue-green deployment patterns","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.45,"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":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-05-03T14:23:38.399Z","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-mcp-server-docker","compare_url":"https://unfragile.ai/compare?artifact=npm-mcp-server-docker"}},"signature":"iFZ+e4Nm9jd82uPSYqJeV9Tps4myGSGBzoCKOCh9u7bw4xuXDi4qnYBucx8rmVoAjr0cbEZeDxxHcxVZlpo8Cw==","signedAt":"2026-06-20T18:45:09.420Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-mcp-server-docker","artifact":"https://unfragile.ai/npm-mcp-server-docker","verify":"https://unfragile.ai/api/v1/verify?slug=npm-mcp-server-docker","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"}}