Memento MCP
UnclaimedMemento MCP: A Knowledge Graph Memory System for LLMs
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npx -y @smithery/cli install @gannonh/memento-mcp --client claudeUnclaimed listing
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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