mcp knowledge graph

Local 2025-08-31 23:29:29 0

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.


An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path.

This lets Claude remember information about the user across chats.

[!NOTE] This is a fork of the original Memory Server and is intended to not use the ephemeral memory npx installation method.

Server Name

mcp-knowledge-graph

screen-of-server-name

read-function

Core Concepts

Entities

Entities are the primary nodes in the knowledge graph. Each entity has:

  • A unique name (identifier)
  • An entity type (e.g., "person", "organization", "event")
  • A list of observations

Example:

{
  "name": "John_Smith",
  "entityType": "person",
  "observations": ["Speaks fluent Spanish"]
}

Relations

Relations define directed connections between entities. They are always stored in active voice and describe how entities interact or relate to each other.

Example:

{
  "from": "John_Smith",
  "to": "Anthropic",
  "relationType": "works_at"
}

Observations

Observations are discrete pieces of information about an entity. They are:

  • Stored as strings
  • Attached to specific entities
  • Can be added or removed independently
  • Should be atomic (one fact per observation)

Example:

{
  "entityName": "John_Smith",
  "observations": [
    "Speaks fluent Spanish",
    "Graduated in 2019",
    "Prefers morning meetings"
  ]
}

API

Tools

  • create_entities
  • Create multiple new entities in the knowledge graph
  • Input: entities (array of objects)
    • Each object contains:
    • name (string): Entity identifier
    • entityType (string): Type classification
    • observations (string[]): Associated observations
  • Ignores entities with existing names

  • create_relations

  • Create multiple new relations between entities
  • Input: relations (array of objects)
    • Each object contains:
    • from (string): Source entity name
    • to (string): Target entity name
    • relationType (string): Relationship type in active voice
  • Skips duplicate relations

  • add_observations

  • Add new observations to existing entities
  • Input: observations (array of objects)
    • Each object contains:
    • entityName (string): Target entity
    • contents (string[]): New observations to add
  • Returns added observations per entity
  • Fails if entity does not exist

  • delete_entities

  • Remove entities and their relations
  • Input: entityNames (string[])
  • Cascading deletion of associated relations
  • Silent operation if entity does not exist

  • delete_observations

  • Remove specific observations from entities
  • Input: deletions (array of objects)
    • Each object contains:
    • entityName (string): Target entity
    • observations (string[]): Observations to remove
  • Silent operation if observation does not exist

  • delete_relations

  • Remove specific relations from the graph
  • Input: relations (array of objects)
    • Each object contains:
    • from (string): Source entity name
    • to (string): Target entity name
    • relationType (string): Relationship type
  • Silent operation if relation does not exist

  • read_graph

  • Read the entire knowledge graph
  • No input required
  • Returns complete graph structure with all entities and relations

  • search_nodes

  • Search for nodes based on query
  • Input: query (string)
  • Searches across:
    • Entity names
    • Entity types
    • Observation content
  • Returns matching entities and their relations

  • open_nodes

  • Retrieve specific nodes by name
  • Input: names (string[])
  • Returns:
    • Requested entities
    • Relations between requested entities
  • Silently skips non-existent nodes

Usage with Claude Desktop

Setup

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Custom Memory Path

You can specify a custom path for the memory file:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory", "--memory-path", "/path/to/your/memory.jsonl"]
    }
  }
}

If no path is specified, it will default to memory.jsonl in the server's installation directory.

System Prompt

The prompt for utilizing memory depends on the use case. Changing the prompt will help the model determine the frequency and types of memories created.

Here is an example prompt for chat personalization. You could use this prompt in the "Custom Instructions" field of a Claude.ai Project.

Follow these steps for each interaction:

1. User Identification:
   - You should assume that you are interacting with default_user
   - If you have not identified default_user, proactively try to do so.

2. Memory Retrieval:
   - Always begin your chat by saying only "Remembering..." and retrieve all relevant information from your knowledge graph
   - Always refer to your knowledge graph as your "memory"

3. Memory
   - While conversing with the user, be attentive to any new information that falls into these categories:
     a) Basic Identity (age, gender, location, job title, education level, etc.)
     b) Behaviors (interests, habits, etc.)
     c) Preferences (communication style, preferred language, etc.)
     d) Goals (goals, targets, aspirations, etc.)
     e) Relationships (personal and professional relationships up to 3 degrees of separation)

4. Memory Update:
   - If any new information was gathered during the interaction, update your memory as follows:
     a) Create entities for recurring organizations, people, and significant events
     b) Connect them to the current entities using relations
     b) Store facts about them as observations

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

[
  {
    "description": "Create multiple new entities in the knowledge graph",
    "inputSchema": {
      "properties": {
        "entities": {
          "items": {
            "properties": {
              "entityType": {
                "description": "The type of the entity",
                "type": "string"
              },
              "name": {
                "description": "The name of the entity",
                "type": "string"
              },
              "observations": {
                "description": "An array of observation contents associated with the entity",
                "items": {
                  "type": "string"
                },
                "type": "array"
              }
            },
            "required": [
              "name",
              "entityType",
              "observations"
            ],
            "type": "object"
          },
          "type": "array"
        }
      },
      "required": [
        "entities"
      ],
      "type": "object"
    },
    "name": "create_entities"
  },
  {
    "description": "Create multiple new relations between entities in the knowledge graph. Relations should be in active voice",
    "inputSchema": {
      "properties": {
        "relations": {
          "items": {
            "properties": {
              "from": {
                "description": "The name of the entity where the relation starts",
                "type": "string"
              },
              "relationType": {
                "description": "The type of the relation",
                "type": "string"
              },
              "to": {
                "description": "The name of the entity where the relation ends",
                "type": "string"
              }
            },
            "required": [
              "from",
              "to",
              "relationType"
            ],
            "type": "object"
          },
          "type": "array"
        }
      },
      "required": [
        "relations"
      ],
      "type": "object"
    },
    "name": "create_relations"
  },
  {
    "description": "Add new observations to existing entities in the knowledge graph",
    "inputSchema": {
      "properties": {
        "observations": {
          "items": {
            "properties": {
              "contents": {
                "description": "An array of observation contents to add",
                "items": {
                  "type": "string"
                },
                "type": "array"
              },
              "entityName": {
                "description": "The name of the entity to add the observations to",
                "type": "string"
              }
            },
            "required": [
              "entityName",
              "contents"
            ],
            "type": "object"
          },
          "type": "array"
        }
      },
      "required": [
        "observations"
      ],
      "type": "object"
    },
    "name": "add_observations"
  },
  {
    "description": "Delete multiple entities and their associated relations from the knowledge graph",
    "inputSchema": {
      "properties": {
        "entityNames": {
          "description": "An array of entity names to delete",
          "items": {
            "type": "string"
          },
          "type": "array"
        }
      },
      "required": [
        "entityNames"
      ],
      "type": "object"
    },
    "name": "delete_entities"
  },
  {
    "description": "Delete specific observations from entities in the knowledge graph",
    "inputSchema": {
      "properties": {
        "deletions": {
          "items": {
            "properties": {
              "entityName": {
                "description": "The name of the entity containing the observations",
                "type": "string"
              },
              "observations": {
                "description": "An array of observations to delete",
                "items": {
                  "type": "string"
                },
                "type": "array"
              }
            },
            "required": [
              "entityName",
              "observations"
            ],
            "type": "object"
          },
          "type": "array"
        }
      },
      "required": [
        "deletions"
      ],
      "type": "object"
    },
    "name": "delete_observations"
  },
  {
    "description": "Delete multiple relations from the knowledge graph",
    "inputSchema": {
      "properties": {
        "relations": {
          "description": "An array of relations to delete",
          "items": {
            "properties": {
              "from": {
                "description": "The name of the entity where the relation starts",
                "type": "string"
              },
              "relationType": {
                "description": "The type of the relation",
                "type": "string"
              },
              "to": {
                "description": "The name of the entity where the relation ends",
                "type": "string"
              }
            },
            "required": [
              "from",
              "to",
              "relationType"
            ],
            "type": "object"
          },
          "type": "array"
        }
      },
      "required": [
        "relations"
      ],
      "type": "object"
    },
    "name": "delete_relations"
  },
  {
    "description": "Read the entire knowledge graph",
    "inputSchema": {
      "properties": {},
      "type": "object"
    },
    "name": "read_graph"
  },
  {
    "description": "Search for nodes in the knowledge graph based on a query",
    "inputSchema": {
      "properties": {
        "query": {
          "description": "The search query to match against entity names, types, and observation content",
          "type": "string"
        }
      },
      "required": [
        "query"
      ],
      "type": "object"
    },
    "name": "search_nodes"
  },
  {
    "description": "Open specific nodes in the knowledge graph by their names",
    "inputSchema": {
      "properties": {
        "names": {
          "description": "An array of entity names to retrieve",
          "items": {
            "type": "string"
          },
          "type": "array"
        }
      },
      "required": [
        "names"
      ],
      "type": "object"
    },
    "name": "open_nodes"
  }
]