Avvarre MCP Server
Harness the true power of agentic coding. Stop re-explaining context to your AI. Just Avvarre it: persistent memory, 650+ style rules, and self-correcting autopilot loops for autonomous agents.
context tax
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security
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cold start
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freshness
Maintained43d ago
Install Avvarre MCP server
Install in Claude Code
claude mcp add avvarre -- npx -y avvarreInstall in Cursor
{
"mcpServers": {
"avvarre": {
"command": "npx",
"args": [
"-y",
"avvarre"
]
}
}
}Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
Install in Claude Desktop
{
"mcpServers": {
"avvarre": {
"command": "npx",
"args": [
"-y",
"avvarre"
]
}
}
}Settings → Developer → Edit Config (claude_desktop_config.json), then restart.
Install in VS Code
{
"servers": {
"avvarre": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"avvarre"
]
}
}
}Add to .vscode/mcp.json in your workspace.
Install in Windsurf
{
"mcpServers": {
"avvarre": {
"command": "npx",
"args": [
"-y",
"avvarre"
]
}
}
}Add to ~/.codeium/windsurf/mcp_config.json.
Freshness
Maintained — last maintenance signal 43d ago. The newest of the signals below sets the band.
Last commit (default branch)
2026-08-27 · 43d ago · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
no data · official registry
FAQ
›How do I install the Avvarre MCP server in Claude Code?
Run: claude mcp add avvarre -- npx -y avvarre. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does Avvarre require an API key?
No required environment variables are declared in its published metadata.
›Can I use Avvarre as a remote (hosted) MCP server?
No hosted endpoint is published; it runs locally over stdio.
›Is Avvarre in the official MCP registry?
No. It was indexed from npm.
Alternatives to Avvarre
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.