manage_memory — WorkingMemory MCP Tool
manage_memory
(manage memory) is one of 4 tools on the
WorkingMemory
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call manage_memory from your client
- Claude Code WorkingMemory manage_memory run in your project directory
- Claude Desktop WorkingMemory manage_memory ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor WorkingMemory manage_memory ~/.cursor/mcp.json
- VS Code WorkingMemory manage_memory .vscode/mcp.json
- Zed WorkingMemory manage_memory ~/.config/zed/settings.json
- Windsurf WorkingMemory manage_memory ~/.codeium/windsurf/mcp_config.json
- Cline WorkingMemory manage_memory ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI WorkingMemory manage_memory ~/.gemini/settings.json
- Grok WorkingMemory manage_memory .mcp.json (in your project root)
- ChatGPT WorkingMemory manage_memory Settings → Connectors → Advanced → Developer mode
- Claude.ai WorkingMemory manage_memory Settings → Connectors → Add custom connector
- LangChain WorkingMemory manage_memory pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http memory https://app.workingmemory.ai/mcpOther tools on this server
This list was read from the server itself, by connecting to it and calling tools/list on 24 September 2026. It is what
the server actually exposes, not what its listing claims.
Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.