Kairn MCP server
io.github.primeline-ai/kairn·v0.3.1·13 starsLocal-first knowledge engine for AI agents: memory, graph, and recall over MCP.
13 stars
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If you have run it, two minutes of your experience saves the next person an afternoon.
Kairn tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-10-31 · same rubric, same numbers if you re-run it
- –Code scanpackage could not be scannedn/a
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 3 days ago15/15
- Maintainer identityregistry namespace matches repository owner7/10
How Kairn compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 85/100
- higher than 70% of 48,255 servers
- GitHub stars
- 13
- more than 89% of 28,688 servers
Release history: 2 versions in the registry since 2026-08-24, latest 2026-10-11, typically one every 48 days.
Install Kairn in Claude Code, Cursor or VS Code
The registry entry has no remote endpoint or installable package.
What the publisher says
From the Kairn repository's README, as published. We do not edit it. Read it on GitHub
Kairn
Context-aware knowledge engine for AI assistants.
<!-- mcp-name: io.github.primeline-ai/kairn -->
Status: pre-1.0. In daily use since February 2026, with 722 tests (see Development) and a published LongMemEval-S benchmark. Interfaces may still change between releases until 1.0. Feedback and issues welcome.
Other tools give your AI a memory. Kairn gives it a knowledge graph with intelligent context routing. It knows what to load, when to load it, and how much - so your AI stays focused, not overwhelmed.
pip install kairn-ai
kairn init ~/brain
kairn serve ~/brainAdd it to Claude Code in one line:
claude mcp add kairn -- kairn serve ~/brainOr install it as a one-click bundle, no Python setup required: download the .mcpb file from the latest release and open it with a bundle-aware app such as Claude Desktop.
For other clients, see Quick Start below. New to Kairn? Jump to First 5 Minutes.
Install routes
The bundle carries no Kairn source of its own. It declares kairn-ai as a dependency and the host resolves it with uv, so a bundle install and a pip install run identical code. Where the database lives is configurable when you install the bundle; it defaults to ~/.kairn and never leaves your machine.
Why Kairn?
Every AI conversation starts from scratch. Previous insights, decisions, and patterns - gone. Existing memory tools store flat key-value pairs that can't represent relationships or surface the right context at the right time.
Kairn is different:
- Context Router + Progressive Disclosure - Automatically loads relevant subgraphs based on keywords, starting with summaries and drilling into details only when needed. No other tool does this.
- Knowledge Graph with FTS5 - Not flat storage. Typed relationships (depends-on, resolves, causes) between nodes with provenance tracking and full-text search across everything.
- Experience Decay + Auto-Promotion - Experiences lose relevance over time (biological decay model). Frequently-accessed experiences auto-promote to permanent knowledge. Your AI naturally forgets what doesn't matter.
- 22 MCP Tools - Works with Claude Desktop, Cursor, VS Code, Windsurf, and any MCP client. Includes knjudge for 5-verb relationship judgments and kndoctor for read-only health diagnostics.
- Per-Workspace Isolation - Each workspace is its own isolated SQLite store. JWT auth and role-based access control (owner / maintainer / contributor / reader) ship for team deployments.
Quick Start
Claude Desktop
Add to ~/Library/Application Support/Claude/claudedesktopconfig.json:
{
"mcpServers": {
"kairn": {
"command": "kairn",
"args": ["serve", "~/brain"]
}
}
}Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"kairn": {
"command": "kairn",
"args": ["serve", "~/brain"],
"env": {
"KAIRN_LOG_LEVEL": "WARNING"
}
}
}
}VS Code
Add to .vscode/mcp.json:
{
"servers": {
"kairn": {
"type": "stdio",
"command": "kairn",
"args": ["serve", "~/brain"]
}
}
}Windsurf
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"kairn": {
"command": "kairn",
"args": ["serve", "~/brain"]
}
}
}Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Kairn: common questions
- Is Kairn MCP server safe?
- Yes, by our scan: it is graded A (85/100). Read the Kairn safety report
- Does Kairn need an API key?
- No secret keys are declared. It reads 1 setting from the environment.
- Is Kairn maintained?
- The last commit was 6 days ago (2026-10-29). The latest release is v0.3.1.
- What can I use instead of Kairn?
- Servers from other publishers that do the same job: Codebase Memory MCP server, Neo4j Memory MCP server and Deja Vu MCP server. Compare all Kairn alternatives.
- How does Kairn compare with other MCP servers?
- safety score 85/100 (higher than 70% of 48,255 servers); github stars 13 (more than 89% of 28,688 servers). Full comparison.
Alternatives to Kairn
Same job from other publishers: the closest match first, then the best rated.
- Codebase MemoryCodebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.not reviewedWidely usedC
- Neo4j MemoryMCP Neo4j Knowledge Graph Memory Servernot reviewedEstablishedA
- Deja Vudeja-vu: local memory over the session histories of forty-three coding agents.not reviewedEstablishedA
MemorixLocal-first project memory with legacy MCP and 2026 discovery compatibility.not reviewedEstablishedB- Nautilus Compass MemoryLocal-first long-term memory for AI agents, with byte-recomputable signed verification receipts.not reviewedEstablishedB