Compartment MCP Server
by maxfreedompollardio.github.MaxFreedomPollard/compartmentv4.11.0
Durable agentic memory, encrypted at rest. Fully offline: no network, no API key, no cloud.
context tax
queued
security
queued
cold start
queued
freshness
Active9d ago
Install Compartment MCP server
Install in Claude Code
claude mcp add compartment -- uvx compartment serveInstall in Cursor
{
"mcpServers": {
"compartment": {
"command": "uvx",
"args": [
"compartment",
"serve"
]
}
}
}Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
Install in Claude Desktop
{
"mcpServers": {
"compartment": {
"command": "uvx",
"args": [
"compartment",
"serve"
]
}
}
}Settings → Developer → Edit Config (claude_desktop_config.json), then restart.
Install in VS Code
{
"servers": {
"compartment": {
"type": "stdio",
"command": "uvx",
"args": [
"compartment",
"serve"
]
}
}
}Add to .vscode/mcp.json in your workspace.
Install in Windsurf
{
"mcpServers": {
"compartment": {
"command": "uvx",
"args": [
"compartment",
"serve"
]
}
}
}Add to ~/.codeium/windsurf/mcp_config.json.
Freshness
Active — last maintenance signal 9d ago. The newest of the signals below sets the band.
Last commit (default branch)
2026-09-30 · 9d ago · GitHub
Latest release
2026-09-30 · 9d ago · GitHub · v4.11.0
Package published
no data · npm/PyPI
Registry entry updated
2026-09-30 · 9d ago · official registry · v4.11.0
FAQ
›How do I install the Compartment MCP server in Claude Code?
Run: claude mcp add compartment -- uvx compartment serve. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does Compartment require an API key?
No required environment variables are declared in its published metadata.
›Can I use Compartment as a remote (hosted) MCP server?
No hosted endpoint is published; it runs locally over stdio.
›Is Compartment in the official MCP registry?
Yes, as io.github.MaxFreedomPollard/compartment.
Alternatives to Compartment
Other memory MCP servers.
MemoryActiveKnowledge graph-based persistent memory for maintaining context.
HindsightActiveHindsight: long-term memory for AI agents modeled on human memory.
Codebase MemoryActiveIndexes a repo into a persistent local knowledge graph of functions, classes, call chains, HTTP routes and cross-service links, using tree-sitter and LSP.
CogneeActiveMemory manager for AI apps and agents using graph and vector stores, with ingestion from many data sources.
HonchoActiveMemory that reasons: continual learning for stateful agents. Better context, fewer tokens.
Basic MemoryActiveLocal-first AI memory: a semantic knowledge graph of Markdown files that humans and LLMs both read and write, with optional cloud sync and team workspaces.