Docker
MCP ServerFree** - Run and manage docker containers, docker compose, and logs
Capabilities8 decomposed
container-lifecycle-management-via-mcp
Medium confidenceManages Docker container lifecycle (create, start, stop, restart, remove) through MCP protocol bindings that translate high-level container operations into Docker daemon API calls. Implements stateless request-response patterns where each MCP message maps to a specific Docker API endpoint, enabling remote container orchestration without maintaining persistent connections or container state in the MCP server itself.
Exposes Docker container lifecycle operations through MCP protocol, allowing LLM agents to manage containers as first-class tools rather than shell commands, with structured request/response semantics that preserve Docker API semantics while adapting to MCP's message-based architecture.
Enables LLM agents to manage containers with semantic understanding (vs. shell command execution), while remaining protocol-agnostic through MCP abstraction (vs. Docker SDK bindings locked to specific languages).
docker-compose-orchestration-via-mcp
Medium confidenceOrchestrates multi-container applications defined in docker-compose.yml files through MCP endpoints that parse compose manifests and translate high-level compose operations (up, down, restart services) into coordinated Docker API calls. Maintains awareness of service dependencies and health states as defined in the compose file, enabling intelligent orchestration of interconnected services.
Parses docker-compose.yml manifests to understand service topology and dependencies, then exposes compose operations through MCP as structured tools rather than shell commands, enabling LLM agents to reason about multi-container deployments as semantic units.
Provides compose-aware orchestration (vs. generic container management), allowing agents to understand service relationships and health states, while remaining language-agnostic through MCP (vs. Docker SDK bindings).
container-log-streaming-and-retrieval
Medium confidenceStreams and retrieves container logs through MCP endpoints that attach to running containers' stdout/stderr streams or fetch historical logs from the Docker daemon's log driver. Implements both real-time streaming (via MCP message streaming or polling) and historical retrieval with filtering by timestamp, log level, or search patterns, without requiring direct container shell access.
Exposes Docker log streams through MCP protocol with support for both real-time streaming and historical retrieval, allowing LLM agents to access container diagnostics without shell access or log aggregation infrastructure, while respecting Docker's native log driver architecture.
Provides direct access to Docker's native logs (vs. requiring external log aggregation like ELK), while enabling LLM agents to reason about logs as structured data (vs. raw shell output).
image-inspection-and-metadata-retrieval
Medium confidenceInspects Docker images and retrieves detailed metadata (layers, environment variables, exposed ports, entry points, build history) through MCP endpoints that query the Docker daemon's image inspection API. Enables agents to understand image composition and configuration without pulling or running images, supporting image discovery and validation workflows.
Provides structured image metadata inspection through MCP, allowing LLM agents to reason about image composition and configuration as semantic data rather than raw Docker CLI output, with support for layer-level analysis.
Enables agents to validate images before deployment (vs. discovering issues at runtime), while remaining protocol-agnostic through MCP (vs. Docker SDK bindings).
container-resource-monitoring-and-stats
Medium confidenceMonitors container resource usage (CPU, memory, network I/O, disk I/O) through MCP endpoints that poll the Docker daemon's stats API and expose real-time or historical metrics. Implements periodic sampling of container stats without requiring persistent monitoring agents, enabling LLM agents to assess container health and performance characteristics.
Exposes Docker container stats through MCP with support for both real-time polling and historical sampling, enabling LLM agents to assess container health and performance without external monitoring infrastructure, while maintaining stateless request-response semantics.
Provides direct access to Docker's native metrics (vs. requiring Prometheus or other monitoring stacks), while enabling agents to reason about performance as structured data (vs. raw CLI output).
container-network-inspection-and-configuration
Medium confidenceInspects and configures Docker networks through MCP endpoints that query and modify network topology, including listing networks, inspecting network details (connected containers, IP ranges, driver), and connecting/disconnecting containers from networks. Enables agents to understand and modify container networking without direct network configuration commands.
Exposes Docker network inspection and container attachment through MCP, allowing LLM agents to reason about and modify container networking topology as semantic operations rather than low-level network commands.
Enables agents to manage container networking without shell access or network configuration expertise (vs. direct network commands), while remaining protocol-agnostic through MCP.
volume-management-and-inspection
Medium confidenceManages and inspects Docker volumes through MCP endpoints that list volumes, inspect volume metadata (mount point, driver, labels), and attach/detach volumes from containers. Provides visibility into persistent storage configuration without requiring filesystem access, enabling agents to understand and manage data persistence for containerized applications.
Exposes Docker volume inspection and container attachment through MCP, allowing LLM agents to reason about persistent storage configuration and manage volume lifecycle as semantic operations.
Provides structured volume metadata access (vs. raw filesystem inspection), enabling agents to understand data persistence without direct filesystem access.
mcp-protocol-integration-and-tool-registration
Medium confidenceImplements MCP protocol bindings that register Docker operations as callable tools with structured schemas, enabling MCP-compatible clients (Claude, custom hosts) to discover and invoke Docker capabilities through standardized tool-calling interfaces. Uses JSON Schema to define input/output contracts for each Docker operation, allowing clients to validate requests and responses.
Implements MCP protocol bindings that expose Docker operations as first-class tools with JSON Schema contracts, enabling LLM agents to discover and invoke Docker capabilities through standardized tool-calling interfaces rather than shell commands or SDK bindings.
Enables semantic tool calling for Docker operations (vs. shell command execution), while remaining client-agnostic through MCP protocol (vs. language-specific SDK bindings).
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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pdf-reader-mcp
📄 Production-ready MCP server for PDF processing - 5-10x faster with parallel processing and 94%+ test coverage
Best For
- ✓AI agents and LLM applications that need to manage containerized services
- ✓Teams building MCP-based orchestration layers on top of Docker
- ✓Developers integrating Docker control into Claude or other MCP-compatible clients
- ✓Teams using docker-compose for local development and CI/CD
- ✓AI agents managing full-stack application deployments
- ✓Developers building self-healing or auto-scaling orchestration layers
- ✓AI agents performing automated troubleshooting and root-cause analysis
- ✓DevOps teams integrating Docker logging into LLM-powered observability pipelines
Known Limitations
- ⚠No built-in container state persistence — relies on Docker daemon for state tracking
- ⚠MCP protocol overhead adds latency compared to direct Docker CLI calls
- ⚠No transaction support for multi-step container operations — each operation is atomic
- ⚠Limited to Docker daemon capabilities; cannot abstract across multiple container runtimes (Podman, containerd)
- ⚠Requires docker-compose.yml to be accessible to the MCP server (local filesystem or mounted volume)
- ⚠No support for Compose v2+ advanced features (profiles, extends) — limited to v1 compatibility
Requirements
Input / Output
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** - Run and manage docker containers, docker compose, and logs
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