- Graphiti Mcp Pro
Graphiti Mcp Pro
Base on Graphiti, Enhanced Core Capabilities, Broader AI Model Compatibility, and Comprehensive Management UI.
Overview
What is Graphiti MCP Pro?
Graphiti MCP Pro is an enhanced memory repository and management platform based on the Graphiti framework, designed for building and querying temporally-aware knowledge graphs tailored for AI agents in dynamic environments.
How to use Graphiti MCP Pro?
To use Graphiti MCP Pro, clone the project from GitHub, configure the environment variables, and run the service using Docker Compose or manually. Access the management interface via the default address: http://localhost:6062.
Key features of Graphiti MCP Pro?
- Asynchronous parallel processing for adding memory tasks.
- Task management tools for monitoring and controlling memory tasks.
- Unified configuration management for consistent settings.
- Broader AI model compatibility with support for various models.
- Comprehensive management platform with a user-friendly UI for service control and monitoring.
Use cases of Graphiti MCP Pro?
- Managing AI model interactions in real-time.
- Building context-aware applications that require dynamic data updates.
- Facilitating efficient memory management for AI agents.
FAQ from Graphiti MCP Pro?
- Is Graphiti MCP Pro suitable for production use?
It is recommended for personal use only due to known limitations and lack of thorough testing.
- What are the prerequisites for running Graphiti MCP Pro?
You need Python 3.10+, Node.js 20+, and an accessible Neo4j database service.
- Can I expose the management backend on public servers?
No, it is advised not to expose the service on public servers due to security concerns.
Server Config
{
"mcpServers": {
"graphiti_pro": {
"transport": "http",
"url": "http://localhost:8082/mcp"
}
}
}Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
itcookStar
-Language
-License
-Category
research-and-data
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