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curl -X GET 'https://glama.ai/api/mcp/v1/servers/doobidoo/mcp-memory-service'
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{
"mcpServers": {
"memory": {
"_comment": "Recommended: Use Python module approach (most stable, no path dependencies)",
"command": "python",
"args": [
"-m",
"mcp_memory_service.server"
],
"_alternative_approaches": [
"Option 1 (UV): command='uv', args=['--directory', '${PROJECT_PATH}', 'run', 'memory', 'server']",
"Option 2 (New script path): command='python', args=['${PROJECT_PATH}/scripts/server/run_memory_server.py']",
"Option 3 (Legacy, shows migration notice): command='python', args=['${PROJECT_PATH}/scripts/run_memory_server.py']"
],
"env": {
"MCP_MEMORY_STORAGE_BACKEND": "sqlite_vec",
"MCP_MEMORY_BACKUPS_PATH": "${USER_DATA_PATH}/mcp-memory/backups",
"PYTORCH_ENABLE_MPS_FALLBACK": "1",
"PYTORCH_CUDA_ALLOC_CONF": "max_split_size_mb:128"
}
}
}
}