MCP Servers

Mcp-ZepAi Server

An MCP server that integrates the ZepAi module to provide long-term memory and retrieval capabilities for AI applications. It allows models to interact with Zep's services through a standardized interface using an API key.

README

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.

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_zepai

Ensure that the ZEP_API_KEY environment variable is set with a valid API key.

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