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Memento MCP

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by gannonh

Memento MCP: A Knowledge Graph Memory System for LLMs

claude-desktopcursorknowledge-graphmodelcontextprotocolneo4jvector-database

Install

$npx -y @smithery/cli install @gannonh/memento-mcp --client claude

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Tools (40)

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

update_relation