MCP-Mirror/AgentWong_optimized-memory-mcp-server

3.1

If you are the rightful owner of AgentWong_optimized-memory-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The optimized-memory-mcp-server is a Python-based fork of a Memory MCP Server, utilizing SQLite for backend storage, designed to demonstrate AI workflows and prompt design.

Tools

Functions exposed to the LLM to take actions

create_entities

Create multiple new entities in the knowledge graph

create_relations

Create multiple new relations between entities in the knowledge graph. Relations should be in active voice

add_observations

Add new observations to existing entities in the knowledge graph

delete_entities

Delete multiple entities and their associated relations from the knowledge graph

delete_observations

Delete specific observations from entities in the knowledge graph

delete_relations

Delete multiple relations from the knowledge graph

read_graph

Read the entire knowledge graph

search_nodes

Search for nodes in the knowledge graph based on a query

open_nodes

Open specific nodes in the knowledge graph by their names

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources

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