Banyan Memory MCP Server
by labacaciaio.github.labacacia/banyan-memoryv1.5.1
Persistent, governed local memory for MCP-compatible AI clients.
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Maintained3mo ago
Install Banyan Memory MCP server
Install in Claude Code
claude mcp add banyan-brain-lite -- dnx Banyan.Mcp.Server --yesInstall in Cursor
{
"mcpServers": {
"banyan-brain-lite": {
"command": "dnx",
"args": [
"Banyan.Mcp.Server",
"--yes"
]
}
}
}Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
Install in Claude Desktop
{
"mcpServers": {
"banyan-brain-lite": {
"command": "dnx",
"args": [
"Banyan.Mcp.Server",
"--yes"
]
}
}
}Settings → Developer → Edit Config (claude_desktop_config.json), then restart.
Install in VS Code
{
"servers": {
"banyan-brain-lite": {
"type": "stdio",
"command": "dnx",
"args": [
"Banyan.Mcp.Server",
"--yes"
]
}
}
}Add to .vscode/mcp.json in your workspace.
Install in Windsurf
{
"mcpServers": {
"banyan-brain-lite": {
"command": "dnx",
"args": [
"Banyan.Mcp.Server",
"--yes"
]
}
}
}Add to ~/.codeium/windsurf/mcp_config.json.
Freshness
Maintained — last maintenance signal 3mo ago. The newest of the signals below sets the band.
Last commit (default branch)
no data · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
2026-07-27 · 3mo ago · official registry · v1.5.1
FAQ
›How do I install the Banyan Memory MCP server in Claude Code?
Run: claude mcp add banyan-brain-lite -- dnx Banyan.Mcp.Server --yes. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does Banyan Memory require an API key?
No required environment variables are declared in its published metadata.
›Can I use Banyan Memory as a remote (hosted) MCP server?
No hosted endpoint is published; it runs locally over stdio.
›Is Banyan Memory in the official MCP registry?
Yes, as io.github.labacacia/banyan-memory.
Alternatives to Banyan Memory
Other memory MCP servers.