
mcp server memory
Memory MCP Server是一个基于Python的服务器,用于存储AI知识图谱,支持会话间的持久化内存和结构化数据管理。
Repository Info
About This Server
Memory MCP Server是一个基于Python的服务器,用于存储AI知识图谱,支持会话间的持久化内存和结构化数据管理。
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
Memory MCP Server
A Python implementation of an MCP server that processes and saves memory in the form of a knowledge graph.
Overview
MCP Server Memory provides functionality for maintaining a persistent knowledge graph for AI memory. It allows storing, retrieving, and querying structured data in the form of entities, relations, and observations. This enables AI systems to store and recall information across sessions.
Features
- Create and manage entities with structured information
- Establish typed relations between entities
- Add observations to existing entities
- Delete entities, relations, and observations
- Search nodes in the knowledge graph
- Retrieve specific nodes by name
Tools
The server implements the MCP (Model Control Protocol) interface, exposing the following tools:
create_entities: Create multiple new entities in the knowledge graphcreate_relations: Create multiple new relations between entitiesadd_observations: Add new observations to existing entitiesdelete_entities: Delete entities and their associated relationsdelete_observations: Delete specific observations from entitiesdelete_relations: Delete specific relations from the graphread_graph: Read the entire knowledge graphsearch_nodes: Search for nodes matching a queryopen_nodes: Retrieve specific nodes by name
Installation
Using uv (recommended)
uv add mcp-server-memory
Using pip
pip install mcp-server-memory
Usage
Running the server
# Run the server directly
mcp-server-memory
# Set custom memory file path
MEMORY_FILE_PATH=/path/to/memory.json mcp-server-memory
Configuration
Configure for MCP clients
Add to your Claude(claude_desktop_config.json) or Cursor(mcp.json) settings file:
Using uv
"mcpServers": {
"memory": {
"command": "/path/to/uv",
"args": [
"--directory",
"/path/to/mcp_server_memory/src",
"run",
"python",
"-m",
"mcp_server_memory"
],
"env": {
"MEMORY_FILE_PATH": "/path/to/memory.json"
}
}
}
Using pip installation
"mcpServers": {
"memory": {
"command": "python",
"args": ["-m", "mcp_server_memory"]
}
}
Configuring the Memory Path
By default, the knowledge graph data is stored in a memory.json file in the package directory. You can customize the location using the MEMORY_FILE_PATH environment variable.
Development
Clone the repository and install development dependencies:
git clone https://github.com/jcdiv47/mcp-server-memory.git
cd mcp-server-memory
uv venv
source .venv/bin/activate
uv install -e ".[dev]"
License
mcp-server-memory 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.
Quick Start
Clone the repository
git clone https://github.com/jcdiv47/mcp-server-memoryInstall dependencies
cd mcp-server-memory
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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