scottopolis/memory-mcp
3.1
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A Model Context Protocol (MCP) server that provides long-term memory capabilities by storing and searching text data using Qdrant vector database and OpenAI embeddings.
Tools
Functions exposed to the LLM to take actions
qdrant-upsert
Stores text as a memory by converting it to vector embeddings and storing it in Qdrant.
qdrant-search
Retrieves similar memories by performing a cosine similarity search in Qdrant.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client