angrysky56/memvid_mcp_server
If you are the rightful owner of memvid_mcp_server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The Memvid MCP Server is a Model Context Protocol server that provides video memory functionalities to AI clients, enabling efficient semantic search and chat interactions.
The Memvid MCP Server is designed to facilitate the conversion of various content types, such as text and PDFs, into a video memory format. This format is optimized for semantic search and chat interactions, making it a powerful tool for AI clients. The server supports multiple concurrent connections, ensuring that it can handle a high volume of requests efficiently. It also includes comprehensive logging for debugging and a graceful shutdown process to ensure proper resource management. The server is compatible with MCP clients like Claude Desktop, allowing for seamless integration into existing workflows. With features like text encoding, PDF processing, and video memory building, the Memvid MCP Server is a versatile solution for managing and interacting with large datasets.
Features
- Text Encoding: Add text chunks or full text documents to video memory.
- PDF Processing: Extract and encode content from PDF files.
- Video Memory Building: Generate compressed video representations of your data.
- Semantic Search: Query your encoded data using natural language.
- Chat Interface: Have conversations with your encoded knowledge base.
Tools
get_server_status
Check the current status of the memvid server including version information.
add_chunks
Add a list of text chunks to the encoder.
add_text
Add a single text document to the encoder.
add_pdf
Process and add a PDF file to the encoder.
build_video
Build the video memory from all added content.
search_memory
Perform semantic search on the built video memory.
chat_with_memvid
Have a conversation with your encoded knowledge base.