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by spences10 • Search & Retrieval
A high-performance persistent memory server for the Model Context Protocol (MCP) that provides vector search and knowledge storage backed by libSQL.
A persistent vector store to save and semantically search entity embeddings within an MCP workflow.
Manage a lightweight knowledge graph (entities and relations) with local or remote libSQL backing.
A drop-in MCP memory server compatible with local development or remote libSQL providers (e.g., Turso) using token-based authentication.
This MCP server stores entities and relations persistently in a libSQL-backed database and offers built-in vector search for semantic queries. It supports both local SQLite files and remote libSQL databases (with token-based authentication) and is designed to integrate into MCP configurations for agents. The server exposes entity and relation management APIs, enabling creation, update, deletion, and similarity search of embeddings for efficient knowledge retrieval.
Create new entities with observations
Search for entities and their relations using text search with relevance ranking
Get recent entities and their relations
Create relations between entities
Delete an entity and all its associated data (observations and relations)
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