Skip to main content
Glama

MCP Memory Service

#!/bin/bash # Docker entrypoint script for MCP Memory Service set -e echo "[INFO] Starting MCP Memory Service in Docker container" # Function to handle signals handle_signal() { echo "[INFO] Received signal, shutting down..." if [ -n "$SERVER_PID" ]; then kill -TERM $SERVER_PID 2>/dev/null || true fi exit 0 } # Set up signal handlers trap handle_signal SIGTERM SIGINT # Function to keep stdin alive keep_stdin_alive() { while true; do # Send newline to stdin every 30 seconds to keep the pipe open echo "" 2>/dev/null || break sleep 30 done } # Check if running in standalone mode if [ "${MCP_STANDALONE_MODE}" = "1" ]; then echo "[INFO] Running in standalone mode" exec /usr/local/bin/docker-entrypoint-persistent.sh "$@" fi # Check if UV_ACTIVE is set if [ "${UV_ACTIVE}" = "1" ]; then echo "[INFO] Running with UV wrapper" # Start the keep-alive process in the background keep_stdin_alive & KEEPALIVE_PID=$! # Run the server python -u uv_wrapper.py "$@" & SERVER_PID=$! # Wait for the server process wait $SERVER_PID SERVER_EXIT_CODE=$? # Clean up the keep-alive process kill $KEEPALIVE_PID 2>/dev/null || true exit $SERVER_EXIT_CODE else echo "[INFO] Running directly with Python" # Start the keep-alive process in the background keep_stdin_alive & KEEPALIVE_PID=$! # Run the server python -u -m mcp_memory_service.server "$@" & SERVER_PID=$! # Wait for the server process wait $SERVER_PID SERVER_EXIT_CODE=$? # Clean up the keep-alive process kill $KEEPALIVE_PID 2>/dev/null || true exit $SERVER_EXIT_CODE fi

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/doobidoo/mcp-memory-service'

If you have feedback or need assistance with the MCP directory API, please join our Discord server