MCP server by Magnemo-AI · ★ 3 · updated today
Governed Memory for AI Agents, in plain local files. No network calls of its own.
Choose your AI client and copy the config.
Add to claude_desktop_config.json — macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Then restart Claude. Setup guide
{
"mcpServers": {
"magnemo": {
"command": "uvx",
"args": [
"magnemo-mcp"
]
}
}
}Or add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project). Setup guide
{
"mcpServers": {
"magnemo": {
"command": "uvx",
"args": [
"magnemo-mcp"
]
}
}
}Or add to .vscode/mcp.json in your workspace. Setup guide
{
"servers": {
"magnemo": {
"type": "stdio",
"command": "uvx",
"args": [
"magnemo-mcp"
]
}
}
}Cascade → Actions → Open MCP config file (often ~/.config/devin/mcp_config.json). Setup guide
{
"mcpServers": {
"magnemo": {
"command": "uvx",
"args": [
"magnemo-mcp"
]
}
}
}Run in your terminal: Setup guide
claude mcp add magnemo -- uvx magnemo-mcpCLI or add to ~/.codex/config.toml. Setup guide
codex mcp add magnemo -- uvx magnemo-mcp[mcp_servers.magnemo]
command = "uvx"
args = ["magnemo-mcp"]Cline panel → Configure MCP Servers, or ~/.cline/data/settings/cline_mcp_settings.json. Setup guide
{
"mcpServers": {
"magnemo": {
"command": "uvx",
"args": [
"magnemo-mcp"
]
}
}
}Run the server directly:
uvx magnemo-mcpNode.js server for filesystem operations: read/write files, create/list/delete directories, move and search files, with configurable allowed directories.
Go server implementing Model Context Protocol (MCP) for filesystem operations.
Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.
This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities
All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.
GitLab server for projects, issues, merge requests, pipelines, wikis and file operations.