ocireg
MCP ServerFree** - An SSE-based MCP server that allows LLM-powered applications to interact with OCI registries. It provides tools for retrieving information about container images, listing tags, and more.
Capabilities6 decomposed
oci registry image metadata retrieval via mcp protocol
Medium confidenceExposes OCI (Open Container Initiative) registry operations through the Model Context Protocol (MCP) using Server-Sent Events (SSE) transport. Implements a standardized tool interface that allows LLM applications to query container image metadata (manifests, config, layers) by translating MCP tool calls into authenticated OCI registry API requests, handling content negotiation for different manifest formats (Docker v2, OCI Image Spec).
Implements MCP as a standardized bridge to OCI registries, enabling any MCP-compatible LLM client to query container images without registry-specific SDKs; uses SSE transport for streaming registry responses directly into LLM context
Provides registry access through a protocol-agnostic MCP interface rather than requiring LLMs to call registry APIs directly or use language-specific SDKs, reducing integration complexity for multi-registry environments
container image tag enumeration and filtering
Medium confidenceImplements tag listing functionality that queries OCI registry tag endpoints and returns available image versions for a given repository. Handles pagination for registries with large tag counts and supports filtering/sorting by tag name, creation date, or digest. Works with registry-specific tag listing APIs (Docker Registry V2 _catalog endpoint, Quay API, ECR DescribeImages) abstracted behind a unified MCP tool interface.
Abstracts registry-specific tag listing APIs (Docker V2 _catalog, Quay API, ECR DescribeImages) into a single MCP tool, handling pagination and format normalization transparently so LLM clients don't need registry-specific logic
Unified tag enumeration across heterogeneous registries (Docker Hub, ECR, GCR, private registries) through a single MCP interface, whereas direct registry API calls require conditional logic for each registry type
image manifest and layer inspection with content negotiation
Medium confidenceRetrieves and parses container image manifests (Docker Image Manifest V2 or OCI Image Manifest) and associated layer information by negotiating content types with the registry. Handles manifest list resolution (multi-arch images) to select the appropriate platform-specific manifest, extracts layer digests and sizes, and provides access to image configuration blobs. Implements proper HTTP Accept header negotiation to request specific manifest formats from registries.
Implements full content negotiation for manifest formats (Docker V2, OCI Image Manifest) with automatic manifest list resolution for multi-arch images, exposing platform-specific layer metadata through a single unified MCP tool
Handles manifest list resolution and platform selection automatically, whereas direct registry API calls require manual Accept header management and conditional logic to select correct manifest variant
authenticated registry access with credential management
Medium confidenceManages authentication to OCI registries through MCP server configuration, supporting multiple credential types (basic auth, OAuth tokens, service accounts) and registry-specific authentication schemes. Implements token caching and refresh logic to minimize authentication overhead for repeated registry requests. Credentials are configured at MCP server startup and transparently applied to all registry API calls without exposing them to the LLM client.
Centralizes registry authentication at the MCP server level, preventing credentials from being exposed to LLM clients or appearing in model context; implements token caching to reduce authentication overhead for repeated requests
Isolates registry credentials from LLM context by handling authentication server-side, whereas direct API calls from LLM clients would require embedding credentials in prompts or tool parameters
mcp tool schema generation and registry integration
Medium confidenceGenerates standardized MCP tool schemas that expose OCI registry operations as callable tools for LLM applications. Implements the MCP tool definition format (JSON schema for inputs, description, name) and registers tools with the MCP server's tool registry. Handles tool invocation routing, parameter validation against schemas, and error handling for invalid tool calls. Supports dynamic tool discovery so LLM clients can query available registry operations.
Implements full MCP tool lifecycle (schema generation, registration, invocation routing, parameter validation) for OCI registry operations, enabling seamless integration with any MCP-compatible LLM client without custom tool adapters
Provides standardized MCP tool schemas that work with any MCP client (Claude, custom agents) without client-specific adapters, whereas direct API integration would require building separate tool interfaces for each LLM platform
sse-based streaming response transport for registry data
Medium confidenceImplements Server-Sent Events (SSE) as the transport mechanism for MCP protocol communication, allowing the registry MCP server to stream responses back to LLM clients over HTTP. Handles SSE connection lifecycle (connection establishment, keep-alive, graceful closure), message framing, and error propagation through SSE event streams. Enables real-time streaming of large registry responses (manifest lists, tag enumerations) without buffering entire responses in memory.
Uses SSE as the primary MCP transport mechanism, enabling streaming of large registry responses and persistent connections for sequential queries, whereas typical MCP implementations use JSON-RPC over stdio or WebSocket
SSE transport provides simpler deployment than WebSocket (no special server configuration needed) while enabling streaming responses, though with lower concurrency than HTTP/2 multiplexing
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓LLM application developers building container security or DevOps automation tools
- ✓Teams integrating container image analysis into AI-powered CI/CD pipelines
- ✓Security researchers analyzing container images at scale via LLM agents
- ✓DevOps engineers building LLM-powered image selection or version management tools
- ✓Container security teams scanning all image versions in a registry for vulnerabilities
- ✓Release automation systems that need to query available image tags programmatically
- ✓Container security and compliance teams analyzing image composition and provenance
- ✓SBOM (Software Bill of Materials) generation tools that need layer-level image metadata
Known Limitations
- ⚠SSE transport limits concurrent requests compared to HTTP/2 multiplexing; suitable for sequential or low-concurrency workloads
- ⚠No built-in caching of registry responses; repeated queries to same image incur full API latency
- ⚠Authentication limited to registry credentials passed at MCP server initialization; no dynamic credential rotation
- ⚠Large image manifests (>10MB) may exceed MCP message size limits depending on client implementation
- ⚠Pagination handling depends on registry implementation; some registries (Docker Hub) have rate limits on tag listing (~100 requests/hour for unauthenticated access)
- ⚠Tag metadata (creation date, size) not uniformly available across all registry types; some registries only return tag names
Requirements
Input / Output
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About
** - An SSE-based MCP server that allows LLM-powered applications to interact with OCI registries. It provides tools for retrieving information about container images, listing tags, and more.
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