@modelcontextprotocol/server-video-resource
MCP ServerFreeMCP App Server demonstrating video resources served as base64 blobs
Capabilities5 decomposed
video resource serving via mcp protocol with base64 encoding
Medium confidenceImplements an MCP server that exposes video files as base64-encoded blob resources through the Model Context Protocol, allowing Claude and other MCP clients to access video content as embedded data URIs. The server uses Node.js file I/O to read video files from disk, encodes them to base64 strings, and wraps them in MCP resource objects with appropriate MIME type metadata, enabling seamless integration of video content into LLM contexts without requiring external file hosting.
Demonstrates MCP resource serving pattern specifically for video content, using base64 blob encoding as a reference implementation for how to expose binary multimedia through the MCP protocol without requiring external storage or streaming infrastructure
Simpler than building custom video streaming endpoints because it leverages MCP's native resource protocol and Claude's built-in resource handling, but trades off efficiency for simplicity by encoding entire videos into memory
mcp resource discovery and metadata exposure
Medium confidenceImplements the MCP resource listing and metadata protocol, allowing clients to discover available video resources through standardized MCP endpoints. The server maintains a resource registry that exposes video file paths, MIME types, and resource URIs, enabling clients to query what video content is available before requesting full base64-encoded payloads. This follows MCP's resource discovery pattern where servers advertise capabilities and clients can introspect available resources.
Implements MCP's resource discovery specification for video content, providing a reference pattern for how servers should expose multimedia resources through standardized protocol endpoints rather than custom APIs
More discoverable than hardcoded file paths because clients can introspect available resources at runtime, but less flexible than custom REST APIs that could support filtering, sorting, and pagination
mcp server lifecycle management and protocol initialization
Medium confidenceManages the complete MCP server lifecycle including protocol handshake, capability negotiation, and request routing. The server initializes the MCP protocol layer, declares supported resource types and tools, handles client connections, and routes incoming requests to appropriate handlers. This involves setting up the MCP transport (stdio or HTTP), registering resource endpoints, and managing the event loop for handling concurrent client requests according to MCP specification.
Provides a minimal reference implementation of MCP server initialization, demonstrating the exact protocol handshake and capability negotiation steps required to create an MCP-compatible server without framework abstractions
More transparent than higher-level MCP frameworks because it shows raw protocol handling, but requires more boilerplate code compared to frameworks that abstract away protocol details
base64 video encoding and blob serialization
Medium confidenceHandles the technical process of reading video files from disk, encoding them to base64 strings, and serializing them as MCP resource blobs. The implementation reads file buffers, applies base64 encoding, and wraps the encoded data in MCP resource objects with appropriate content-type headers. This enables video content to be embedded directly in MCP responses as data URIs, making videos accessible to LLM clients without requiring separate file downloads or external storage.
Demonstrates the specific pattern of encoding binary video data for MCP transmission, using base64 as the serialization format to ensure compatibility with JSON-based MCP protocol messages
More compatible with JSON-based protocols than binary transmission because base64 is text-safe, but less efficient than binary formats or streaming approaches that avoid encoding overhead
video mime type detection and content-type metadata
Medium confidenceAutomatically detects video file formats and assigns appropriate MIME types (video/mp4, video/webm, etc.) based on file extensions or content inspection. The server includes MIME type mappings for common video formats and includes this metadata in MCP resource responses, enabling clients to understand the video format without additional inspection. This ensures proper content-type headers are set so clients can handle videos correctly.
Provides MIME type mapping specifically for video resources in MCP context, ensuring proper content-type headers are included in resource responses for client compatibility
Simpler than content-based detection because it uses file extensions, but less robust than magic-byte inspection for handling misnamed or corrupted files
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Standalone MCP (Model Context Protocol) server - stdio/http/websocket transports, connection pooling, tool registry
Best For
- ✓developers building MCP servers that need to expose multimedia resources
- ✓teams integrating video analysis into Claude-powered workflows
- ✓builders prototyping AI agents that require access to local video files
- ✓MCP server developers implementing resource discovery patterns
- ✓teams building multi-resource MCP servers with dynamic content
- ✓developers creating MCP clients that need to enumerate available resources
- ✓developers building new MCP servers from scratch
- ✓teams integrating MCP into existing Node.js applications
Known Limitations
- ⚠base64 encoding increases payload size by ~33% compared to binary transmission, impacting context window usage for large videos
- ⚠no streaming support — entire video must be encoded into memory before transmission, limiting practical file sizes to <100MB
- ⚠no video transcoding or format conversion — client receives raw file encoding regardless of format compatibility
- ⚠single-threaded encoding blocks MCP server during large file processing, creating latency for concurrent requests
- ⚠resource listing is static or requires manual server restart to reflect filesystem changes — no hot-reload of new video files
- ⚠no pagination or filtering — all resources returned in single response, limiting scalability for servers with hundreds of videos
Requirements
Input / Output
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MCP App Server demonstrating video resources served as base64 blobs
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