semantic_search

Search your Memento MCP knowledge graph using vector embeddings to find semantically similar entities, optionally combining keyword and semantic methods for precise results.

Instructions

Search for entities semantically using vector embeddings and similarity in your Memento MCP knowledge graph memory

Input Schema

Name	Required	Description
`entity_types`	No	Filter results by entity types
`hybrid_search`	No	Whether to combine keyword and semantic search (default: true)
`limit`	No	Maximum number of results to return (default: 10)
`min_similarity`	No	Minimum similarity threshold from 0.0 to 1.0 (default: 0.6)
`query`	Yes	The text query to search for semantically
`semantic_weight`	No	Weight of semantic results in hybrid search from 0.0 to 1.0 (default: 0.6)

Input Schema (JSON Schema)

{
  "properties": {
    "entity_types": {
      "description": "Filter results by entity types",
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "hybrid_search": {
      "description": "Whether to combine keyword and semantic search (default: true)",
      "type": "boolean"
    },
    "limit": {
      "description": "Maximum number of results to return (default: 10)",
      "type": "number"
    },
    "min_similarity": {
      "description": "Minimum similarity threshold from 0.0 to 1.0 (default: 0.6)",
      "type": "number"
    },
    "query": {
      "description": "The text query to search for semantically",
      "type": "string"
    },
    "semantic_weight": {
      "description": "Weight of semantic results in hybrid search from 0.0 to 1.0 (default: 0.6)",
      "type": "number"
    }
  },
  "required": [
    "query"
  ],
  "type": "object"
}

memento-mcp

semantic_search

Instructions

Input Schema

Input Schema (JSON Schema)

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