Elasticsearch Knowledge Graph for MCP

Agent driven file inspection that uses AI to retrieve relevant content from multiple files.

Agent driven knowledge graph inspection that uses AI to retrieve relevant entities and relations based on a query.

Create entities in knowledge graph (memory)

Update entities in knowledge graph (memory)

Delete entities from knowledge graph (memory)

Create relationships between entities in knowledge graph (memory)

Delete relationships from knowledge graph (memory)

Search entities using ElasticSearch query syntax. Supports boolean operators (AND, OR, NOT), fuzzy matching (~), phrases ("term"), proximity ("terms"~N), wildcards (*, ?), and boosting (^N). Examples: 'meeting AND notes', 'Jon~', '"project plan"~2'. All searches respect zone isolation.

Get details about specific entities in knowledge graph (memory) and their relations

Add observations to an existing entity in knowledge graph (memory)

Mark entity as important in knowledge graph (memory) by boosting its relevance score

Get recently accessed entities from knowledge graph (memory) and their relations

List all available memory zones with metadata. When a reason is provided, zones will be filtered and prioritized based on relevance to your needs.

Create a new memory zone with optional description.

Delete a memory zone and all its entities/relations.

Copy entities between zones with optional relation handling.

Move entities between zones (copy + delete from source).

Merge multiple zones with conflict resolution options.

Get statistics for entities and relationships in a zone.

Get the current UTC time in YYYY-MM-DD hh:mm:ss format