Marvis Working Memory MCP
AI & Memory
Local
Provides local persistent working memory for AI agents, allowing them to load rules, preferences, and project state before tasks and save validated experiences after successful completion. Works with stdio MCP clients via a local JSON file.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/xxsmd5tg1p for deploy options, or install from https://github.com/fangsylar-pixel/marvis-working-memory-mcp (see README for MCP config).
2
GitHub
Install from https://github.com/fangsylar-pixel/marvis-working-memory-mcp and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.