Mcp-ZepAi Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Mcp-ZepAi Serversearch my chat history for mentions of the project launch timeline"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP ZepAi Server
This repository contains the MCP (Model Context Protocol) server for the ZepAi module. The server is configured to run using a specific command and environment variables as detailed below.
Configuration
Below is an example configuration:
{
"mcpServers": {
"zepai": {
"command": "uv",
"args": [
"run",
"--directory",
"<path_to_the_mcp_directory>",
"python",
"-m",
"mcp_zepai"
],
"cwd": "<path_to_the_mcp_directory>",
"env": {
"ZEP_API_KEY": "<your_api_key_here>"
}
}
}
}Key Configuration Elements
command: The command to execute the server, in this case, using
uv.args: Arguments passed to the command, including the directory and module to run.
cwd: The current working directory for the server.
env: Environment variables required for the server, such as
ZEP_API_KEY.
Related MCP server: NeuralVaultCore
Running the Server
To run the MCP ZepAi server, ensure that the configuration file is correctly set up and execute the following command:
/opt/homebrew/bin/uv run --directory <path_to_mcp_directory> python -m mcp_zepaiEnsure that the ZEP_API_KEY environment variable is set with a valid API key.
This server cannot be installed
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
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