mcp-knowledge-graph
Summary
An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.
Available Actions(9)
create_entities
Create multiple new entities in the knowledge graph. Input: entities (array of objects) where each object contains name (string), entityType (string), and observations (string[]). Ignores entities with existing names.
create_relations
Create multiple new relations between entities. Input: relations (array of objects) where each object contains from (string), to (string), and relationType (string). Skips duplicate relations.
add_observations
Add new observations to existing entities. Input: observations (array of objects) where each object contains entityName (string) and contents (string[]). Returns added observations per entity and fails if entity doesn't exist.
delete_entities
Remove entities and their relations. Input: entityNames (string[]). Cascading deletion of associated relations, silent operation if entity doesn't exist.
delete_observations
Remove specific observations from entities. Input: deletions (array of objects) where each object contains entityName (string) and observations (string[]). Silent operation if observation doesn't exist.
delete_relations
Remove specific relations from the graph. Input: relations (array of objects) where each object contains from (string), to (string), and relationType (string). Silent operation if relation doesn't exist.
read_graph
Read the entire knowledge graph. No input required. Returns complete graph structure with all entities and relations.
search_nodes
Search for nodes based on query. Input: query (string). Searches across entity names, entity types, and observation content, returning matching entities and their relations.
open_nodes
Retrieve specific nodes by name. Input: names (string[]). Returns requested entities and relations between requested entities, silently skipping non-existent nodes.
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