CaptainCrouton89/knowledge
3.3
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The MCP Embedding Storage Server is designed to store and retrieve information using vector embeddings, leveraging the AI Embeddings API for semantic search capabilities.
Tools
Functions exposed to the LLM to take actions
store-content
Stores content with automatically generated embeddings.
search-content
Searches for content using vector similarity.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client