Skip to main content

An AWS Labs Model Context Protocol (MCP) server for Amazon ElastiCache Memcached

Project description

Amazon ElastiCache Memcached MCP Server

MCP server for interacting with Amazon ElastiCache Memcached through a secure and reliable connection

Features

Complete Memcached Protocol Support

  • Full support for all standard Memcached operations
  • Secure communication with SSL/TLS encryption
  • Automatic connection management and pooling
  • Built-in retry mechanism for failed operations
  • Readonly mode to prevent write operations

Readonly Mode

The server can be started in readonly mode, which prevents any write operations from being performed. This is useful for scenarios where you want to ensure that no data is modified, such as:

  • Read-only replicas
  • Production environments where writes should be restricted
  • Debugging and monitoring without risk of data modification

When readonly mode is enabled, any attempt to perform a write operation (set, add, replace, delete, etc.) will return an error message.

Prerequisites

  1. Install uv from Astral or the GitHub README
  2. Install Python using uv python install 3.10
  3. Access to a Memcached server.
  4. For instructions to connect to an Amazon ElastiCache Memcached cache click here

Installation

Kiro Cursor VS Code
Add to Kiro Install MCP Server Install on VS Code

Here are some ways you can work with MCP (e.g. for Kiro, ~/.kiro/settings/mcp.json):

{
  "mcpServers": {
    "awslabs.memcached-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.memcached-mcp-server@latest"],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "MEMCACHED_HOST": "your-memcached-host",
        "MEMCACHED_PORT": "11211"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

To run in readonly mode:

{
  "mcpServers": {
    "awslabs.memcached-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.memcached-mcp-server@latest", "--readonly"],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "MEMCACHED_HOST": "your-memcached-host",
        "MEMCACHED_PORT": "11211"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Windows Installation

For Windows users, the MCP server configuration format is slightly different:

{
  "mcpServers": {
    "awslabs.memcached-mcp-server": {
      "disabled": false,
      "timeout": 60,
      "type": "stdio",
      "command": "uv",
      "args": [
        "tool",
        "run",
        "--from",
        "awslabs.memcached-mcp-server@latest",
        "awslabs.memcached-mcp-server.exe"
      ],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "MEMCACHED_HOST": "your-memcached-host",
        "MEMCACHED_PORT": "11211"
      },
    }
  }
}

To run in readonly mode:

{
  "mcpServers": {
    "awslabs.memcached-mcp-server": {
      "command": "uvx",
      "args": [
        "tool",
        "run",
        "--from",
        "awslabs.memcached-mcp-server@latest",
        "awslabs.memcached-mcp-server.exe",
        "--readonly"
      ],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "MEMCACHED_HOST": "your-memcached-host",
        "MEMCACHED_PORT": "11211"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

or docker after a successful docker build -t awslabs/memcached-mcp-server .:

{
  "mcpServers": {
    "awslabs.memcached-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "--interactive",
        "--env",
        "FASTMCP_LOG_LEVEL=ERROR",
        "--env",
        "MEMCACHED_HOST=your-memcached-host",
        "--env",
        "MEMCACHED_PORT=11211",
        "awslabs/memcached-mcp-server:latest"
      ],
      "env": {},
      "disabled": false,
      "autoApprove": []
    }
  }
}

To run in readonly mode with Docker:

{
  "mcpServers": {
    "awslabs.memcached-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "--interactive",
        "--env",
        "FASTMCP_LOG_LEVEL=ERROR",
        "--env",
        "MEMCACHED_HOST=your-memcached-host",
        "--env",
        "MEMCACHED_PORT=11211",
        "awslabs/memcached-mcp-server:latest",
        "--readonly"
      ],
      "env": {},
      "disabled": false,
      "autoApprove": []
    }
  }
}

Configuration

Basic Connection Settings

Configure the connection using these environment variables:

# Basic settings
MEMCACHED_HOST=127.0.0.1          # Memcached server hostname
MEMCACHED_PORT=11211              # Memcached server port
MEMCACHED_TIMEOUT=1              # Operation timeout in seconds
MEMCACHED_CONNECT_TIMEOUT=5      # Connection timeout in seconds
MEMCACHED_RETRY_TIMEOUT=1        # Retry delay in seconds
MEMCACHED_MAX_RETRIES=3         # Maximum number of retry attempts

SSL/TLS Configuration

Enable and configure SSL/TLS support with these variables:

# SSL/TLS settings
MEMCACHED_USE_TLS=true                           # Enable SSL/TLS
MEMCACHED_TLS_CERT_PATH=/path/to/client-cert.pem # Client certificate
MEMCACHED_TLS_KEY_PATH=/path/to/client-key.pem   # Client private key
MEMCACHED_TLS_CA_CERT_PATH=/path/to/ca-cert.pem  # CA certificate
MEMCACHED_TLS_VERIFY=true                        # Enable cert verification

The server automatically handles:

  • Connection establishment and management
  • SSL/TLS encryption when enabled
  • Automatic retrying of failed operations
  • Timeout enforcement and error handling

Development

Running Tests

uv venv
source .venv/bin/activate
uv sync
uv run --frozen pytest

Building Docker Image

docker build -t awslabs/memcached-mcp-server .

Running Docker Container

docker run -p 8080:8080 \
  -e MEMCACHED_HOST=host.docker.internal \
  -e MEMCACHED_PORT=11211 \
  awslabs/memcached-mcp-server

To run in readonly mode:

docker run -p 8080:8080 \
  -e MEMCACHED_HOST=host.docker.internal \
  -e MEMCACHED_PORT=11211 \
  awslabs/memcached-mcp-server --readonly

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

awslabs_memcached_mcp_server-1.0.13.tar.gz (96.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

awslabs_memcached_mcp_server-1.0.13-py3-none-any.whl (16.9 kB view details)

Uploaded Python 3

File details

Details for the file awslabs_memcached_mcp_server-1.0.13.tar.gz.

File metadata

File hashes

Hashes for awslabs_memcached_mcp_server-1.0.13.tar.gz
Algorithm Hash digest
SHA256 beb75a523c343043324f356ed1dec2af60a07dff537ba79f5b65086b37084919
MD5 591315ca07e1c80e2ffc440bc343d55e
BLAKE2b-256 79ce2f6575eb176faa9cac2417a32333484d8a8b7f407f428ecac4e5ed057a48

See more details on using hashes here.

Provenance

The following attestation bundles were made for awslabs_memcached_mcp_server-1.0.13.tar.gz:

Publisher: release.yml on awslabs/mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file awslabs_memcached_mcp_server-1.0.13-py3-none-any.whl.

File metadata

File hashes

Hashes for awslabs_memcached_mcp_server-1.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 6fd018584f8de69223316c7bfe12430898d9dbde768d68f1e626dd8b244a570c
MD5 e36aec2a3de49e4773266b6e64be6746
BLAKE2b-256 0bd9f1de3ace3fee80b7e49d0fda1a2c31ea119cbdac6c40edf2d78971f7d51b

See more details on using hashes here.

Provenance

The following attestation bundles were made for awslabs_memcached_mcp_server-1.0.13-py3-none-any.whl:

Publisher: release.yml on awslabs/mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page