mcp-server-knowledge-graph-memory
by paihari
This repository likely contains code and resources for a server that manages a knowledge graph in memory. It aims to provide efficient access and manipulation of knowledge graph data.
Last updated: N/A
What is mcp-server-knowledge-graph-memory?
This is a server designed to store and manage a knowledge graph directly in memory. This approach prioritizes speed and low latency for accessing and manipulating graph data.
How to use mcp-server-knowledge-graph-memory?
Without further information in the README, it's impossible to provide specific usage instructions. Typically, you would need to install the server, configure its settings (e.g., memory allocation), and then interact with it via an API or client library. Refer to the repository's documentation (if available) for detailed steps.
Key features of mcp-server-knowledge-graph-memory
In-memory storage for fast access
Knowledge graph management capabilities
API for interacting with the graph
Potentially supports graph traversal and querying
Scalable architecture (if designed for it)
Use cases of mcp-server-knowledge-graph-memory
Real-time data analysis
Recommendation systems
Fraud detection
Semantic search
Knowledge discovery
FAQ from mcp-server-knowledge-graph-memory
What programming language is the server written in?
What programming language is the server written in?
This information is not available in the provided README.
What graph database technology is used?
What graph database technology is used?
This information is not available in the provided README.
How do I install and configure the server?
How do I install and configure the server?
This information is not available in the provided README. Refer to the repository's documentation.
What API endpoints are available?
What API endpoints are available?
This information is not available in the provided README. Refer to the repository's documentation.
How do I query the knowledge graph?
How do I query the knowledge graph?
This information is not available in the provided README. Refer to the repository's documentation.