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- mcp-server-zep-cloud
Mcp Server Zep Cloud
What is Mcp Server Zep Cloud
MCP Server for Zep Cloud is a server that acts as a bridge between Claude Desktop and the Zep Cloud API, facilitating memory management for AI assistants.
Use cases
Use cases include managing user data for AI applications, creating and managing memory collections, and ensuring seamless operation of AI assistants even when the Zep Cloud API is unavailable.
How to use
To use mcp-server-zep-cloud, clone the repository, set up the environment using the provided configuration files, and run the server using the provided scripts.
Key features
Key features include user management (create, retrieve, update, delete users), collections management, memory operations (add, retrieve, search memories), modern implementation using FastMCP, and fallback mode for API accessibility issues.
Where to use
MCP Server for Zep Cloud can be used in AI development, particularly in applications requiring memory management for AI assistants and user interaction.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Server Zep Cloud
MCP Server for Zep Cloud is a server that acts as a bridge between Claude Desktop and the Zep Cloud API, facilitating memory management for AI assistants.
Use cases
Use cases include managing user data for AI applications, creating and managing memory collections, and ensuring seamless operation of AI assistants even when the Zep Cloud API is unavailable.
How to use
To use mcp-server-zep-cloud, clone the repository, set up the environment using the provided configuration files, and run the server using the provided scripts.
Key features
Key features include user management (create, retrieve, update, delete users), collections management, memory operations (add, retrieve, search memories), modern implementation using FastMCP, and fallback mode for API accessibility issues.
Where to use
MCP Server for Zep Cloud can be used in AI development, particularly in applications requiring memory management for AI assistants and user interaction.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Server for Zep Cloud
MCP Server for Zep Cloud provides a bridge between Claude Desktop and the Zep Cloud API, enabling memory management for AI assistants.
Repository Structure
The repository has been organized into the following directories:
-
core/: Core functionality files
zep_cloud_client.py: Client implementation for the Zep Cloud APIzep_cloud_server.py: MCP server providing tools for Claude Desktoprun_server.py: Standalone script to run the server directly
-
scripts/: Utility scripts for operations
check_user_exists.py: Utility to check if a user exists in Zep Cloudcreate_specific_user.py: Script to create a specific user in Zep Cloudrun_server.sh/run_server.bat: Shell scripts to run the server with proper environment setup- Various other utility scripts for testing and debugging
-
tests/: Test scripts organized by functionality
test_specific_user.py: Comprehensive test for all user operationstest_zep_cloud_client.py: Unit tests for the Zep Cloud clienttest_comprehensive.py: Complete API tests for all features
-
config/: Configuration files
.env.example: Template for environment configuration.env.new: Updated environment configurationclaude_desktop_config.json.example: Template for Claude Desktop configurationrequirements.txt: Package dependencies
Features
- User Management: Create, retrieve, update, and delete users in Zep Cloud
- Collections Management: Create and manage memory collections
- Memory Operations: Add, retrieve, and search memories
- Modern Implementation: Uses the FastMCP approach for a more efficient and maintainable server
- Fallback Mode: Automatically runs in fallback mode if Zep Cloud API is not accessible
Requirements
- Python 3.8+
- Zep Cloud API key
Installation
- Clone this repository:
git clone https://github.com/yourusername/mcp-server-zep-cloud.git
cd mcp-server-zep-cloud
- Create and activate a virtual environment:
# On macOS/Linux
python -m venv venv
source venv/bin/activate
# On Windows
python -m venv venv
venv\Scripts\activate
- Install the required packages:
pip install -r config/requirements.txt
- Copy the
config/.env.examplefile to.envand add your Zep Cloud API key:
cp config/.env.example .env
Edit the .env file and add your Zep Cloud API key:
ZEP_API_KEY=your_api_key_here
Usage
Starting the Server
To start the server on macOS/Linux:
cd scripts
./run_server.sh
Or on Windows:
cd scripts
run_server.bat
The server will start on http://127.0.0.1:8000 by default.
Testing API Connectivity
To test if a user exists in Zep Cloud:
cd scripts
python check_user_exists.py [user_id]
To create a specific user in Zep Cloud:
cd scripts
python create_specific_user.py
Fallback Mode
If the server cannot connect to the Zep Cloud API (due to authentication issues, network problems, or other reasons), it will automatically start in fallback mode. In this mode:
- All API operations will be simulated and will return success
- No actual data will be sent to or received from the Zep Cloud API
- Warning messages will be logged to indicate that the server is running in fallback mode
- The server will remain operational, allowing the Claude Desktop integration to function
To learn more about potential authentication issues and how to fix them, see the AUTHENTICATION_NOTE.md file.
Configuring Claude Desktop
-
Open your Claude Desktop configuration file at:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
-
Update the configuration with the absolute paths to your Python executable and server script:
{
"mcpServers": {
"zep-cloud": {
"command": "/ABSOLUTE/PATH/TO/venv/bin/python",
"args": [
"/ABSOLUTE/PATH/TO/core/zep_cloud_server.py"
]
}
}
}
Important Notes:
- Replace
/ABSOLUTE/PATH/TO/with the actual path to your Python executable in the virtual environment and the server script. - Use absolute paths, not relative paths.
- On Windows, use double backslashes in paths (e.g.,
C:\\Users\\YourUsername\\...).
Available Tools in Claude Desktop
Once configured, Claude Desktop will have access to the following tools:
-
User Management:
create_user: Create a new userget_user: Get details of a userupdate_user: Update a user’s metadatadelete_user: Delete a userlist_users: List all users
-
Collections Management:
create_collection: Create a new collectionget_collection: Get details of a collectionupdate_collection: Update a collection’s metadatadelete_collection: Delete a collectionlist_collections: List all collections
-
Memory Operations:
add_memory: Add a memory to a collection for a userget_memory: Get a memory from a collection for a userlist_memories: List memories from a collection for a usersearch_memories: Search memories from a collection for a user
-
Connectivity:
check_connection: Check connection status with the Zep Cloud API
Troubleshooting
For troubleshooting information, please see the AUTHENTICATION_NOTE.md document, which contains detailed information about API connectivity and authentication issues.
Security Considerations
API Key Protection
- NEVER commit your API key to version control. The
.gitignorefile is configured to prevent.envfiles from being committed. - Use the provided
.env.exampleas a template and create your own.envfile with your actual API key. - Regularly rotate your API keys, especially if you suspect they might have been compromised.
Configuration Files
- Personal configuration files like
claude_desktop_config.jsoncontain system-specific paths and should not be committed to version control. - Use the provided
claude_desktop_config.json.exampleas a reference to create your own configuration.
First-Time Setup for Contributing
- Always ensure
.gitignoreis committed before adding any code or configuration files - Copy
.env.exampleto.envand add your API key - Copy
claude_desktop_config.json.exampletoclaude_desktop_config.jsonand update with your paths - Verify that sensitive files are being ignored before committing:
git status --ignored
Security Checks
Before committing code, always check that you haven’t accidentally included:
- API keys or credentials
- Personal file paths or usernames
- Log files that might contain sensitive information
- Temporary files with debug information
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










