Memento MCP
未申請Memento MCP: A Knowledge Graph Memory System for LLMs
インストール
npx -y @smithery/cli install @gannonh/memento-mcp --client claude未申請リスティング
このMCPサーバーはあなたのものですか?
このリスティングは公開情報から自動的にインデックスされました。申請することで、ページの編集、互換性の設定、成長ツールのアンロックができます。2分以内に完了します。
このサーバーを申請するツール(40個)
add_observations
confidence
(number, optional): Confidence level (0.0-1.0)
contents
(string[]): New observations to add
create_entities
create_relations
debug_embedding_config
Information about the current embedding service configuration
decay_factor
(number): Optional decay factor override
delete_entities
delete_observations
delete_relations
diagnose_vector_search
Information about the Neo4j vector index, embedding counts, and search functionality
entity_name
(string): The name of the entity to get the embedding for
entity_types
(string[], optional): Filter results by entity types
entityName
(string): Target entity
entityType
(string): Type classification
force_generate_embedding
Forces the generation of an embedding for a specific entity
from
(string): Source entity name
get_decayed_graph
get_entity_embedding
get_entity_history
get_graph_at_time
get_relation
get_relation_history
hybrid_search
(boolean, optional): Combine keyword and semantic search (default: true)
limit
(number, optional): Maximum results to return (default: 10)
metadata
(object, optional): Custom metadata fields
min_similarity
(number, optional): Minimum similarity threshold (0.0-1.0, default: 0.6)
name
(string): Entity identifier
observations
(string[]): Associated observations
open_nodes
query
(string): The text query to search for semantically
read_graph
reference_time
(number): Reference timestamp for decay calculation (milliseconds since epoch)
relationType
(string): Relationship type
search_nodes
semantic_search
semantic_weight
(number, optional): Weight of semantic results in hybrid search (0.0-1.0, default: 0.6)
strength
(number, optional): Relation strength (0.0-1.0)
to
(string): Target entity name