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SkillMaxx / Utilities / MCP memory (reference)

Knowledge-graph-based persistent memory
claude mcp add memory -- npx -y @modelcontextprotocol/server-memoryTested ✓ on 2026-10-16: installed and loaded in a throwaway sandbox with no credentials.
Added stdio MCP server mcpmemory with command: npx -y @modelcontextprotocol/server-memory to local config File modified: /home/sbx/.claude.json [project: /home/sbx] $ verify: mcpmemory: npx -y @modelcontextprotocol/server-memory - ✔ Connected
codex mcp add memory -- npx -y @modelcontextprotocol/server-memoryChecked against official docs on 2026-10-16. Hands-on test not available for this agent yet.
No official Grok Build instructions yet. We haven't found docs saying this works in Grok Build.
Know it works? Tell us →~/.cursor/mcp.json: {"mcpServers":{"memory":{"command":"npx","args":["-y", "@modelcontextprotocol/server-memory"]}}}Tested ✓ on 2026-10-16: installed and loaded in a throwaway sandbox with no credentials.
✓ Enabled and approved MCP server: mcpmemory $ verify: mcpmemory: ready Tools for mcpmemory (9):
No official Pi instructions yet. We haven't found docs saying this works in Pi.
Know it works? Tell us →A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
Published on npm as @modelcontextprotocol/server-memory.
Entities are the primary nodes in the knowledge graph. Each entity has:
Example:
{
"name": "John_Smith",
"entityType": "person",
"observations": ["Speaks fluent Spanish"]
}
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 are discrete pieces of information about an entity. They are:
Example:
{
"entityName": "John_Smith",
"observations": [
"Speaks fluent Spanish",
"Graduated in 2019",
"Prefers morning meetings"
]
}
create_entities
entities (array of objects)
name (string): Entity identifierentityType (string): Type classificationobservations (string[]): Associated observationsskipped, and a second text item says which were skipped (use add_observations to extend an existing entity)create_relations
relations (array of objects)
from (string): Source entity nameto (string): Target entity namerelationType (string): Relationship type in active voicePreview from the source repo. Images are removed.
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