Agenten stärken
Der eigene Befehl des Herausgebers. Kein PlugMCP-Endpunkt.
Host a copy with our keys and logs.
npx -y [email protected]Claude Code hat keinen Installationslink für einen lokalen Befehl. Kopieren Sie den Befehl unten und führen Sie ihn in einem Terminal aus.
claude mcp add io.github.pintomatic-kernal-mcp -- npx -y kernal-mcp@0.2.1In einem Terminal ausführen.
{ "mcpServers": { "io.github.pintomatic-kernal-mcp": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}claude_desktop_config.json
Remote-URL oder ein Befehl auf Ihrem Rechner? Worin sich die beiden Installationen unterscheiden
Auf PlugMCP ausführen
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
StartenVom Herausgeber
Open-source knowledge graph for professionals. Auto-extracts entities and relationships from natural conversation via MCP.
Talk to Claude naturally about your meetings, calls, and interactions. Kernal stores people, organizations, topics, and relationships — building a knowledge graph you own.
Graph-native memory for AI agents: a knowledge graph built from conversation, via MCP.
Everything you need to run Kernal locally on your own machine:
init, serve, status, exportThis is a fully functional knowledge graph you can run yourself, for free, forever.
For teams and professionals who want more, Andes offers:
The open-source core is the engine. Andes wraps it with infrastructure, UX, and support.
npx kernal-mcp init
This creates a SQLite database at ~/.kernal/kernal.db and prints the config to add to Claude Desktop.
Add to your claude_desktop_config.json:
{
"mcpServers": {
"kernal": {
"command": "npx",
"args": ["-y", "kernal-mcp", "serve"]
}
}
}
Restart Claude Desktop. Then talk naturally:
"I had lunch with Jonas Lindberg from Nordvik Energy today. He's their VP of Digital. We discussed their cloud migration — targeting Q3."
Claude extracts Jonas, Nordvik Energy, the cloud migration topic, and stores them via Kernal's write tools. Then ask:
Kernal uses an LLM-driven extraction pattern:
kernal_remember with the raw textkernal_add_person, kernal_add_org, kernal_add_activity, etc.)The MCP server is a clean data store. The LLM is the brain.
From a single paragraph like "Had coffee with Sofia Andersen from Arctura Tech. She's their VP of Sales. We discussed their expansion into APAC. I need to send her the partner proposal by Friday.", Claude will call:
kernal_add_person — Sofia Andersen, VP of Sales, at Arctura Techkernal_add_org — Arctura Techkernal_add_activity — Coffee meeting, today, participants: [Sofia Andersen], orgs: [Arctura Tech]kernal_add_action — "Send partner proposal to Sofia", due Friday, owner: Sofia Andersenkernal_link — Sofia → works_at → Arctura TechEach call is a deliberate, structured decision by the LLM — not a regex guess.
kernal init Create database + print Claude Desktop config
kernal serve Start MCP server (stdio transport)
kernal status Show database stats
kernal export Export database to a file
kernal help Show help
The repo includes a React dashboard (dashboard/) with four views:
Natural language command bar routes queries to views ("Show me my network" → graph).
# Start the cloud API server
KERNAL_API_KEY=your-key KERNAL_DB_PATH=~/.kernal/kernal.db npm run cloud
# Start the dashboard (separate terminal)
cd dashboard && npm run dev
Kernal stores 6 entity types connected by a generic relationship graph:
People ←→ Organizations
↕ ↕
Activities ←→ Topics
↕
Actions ←→ Notes
All entities can link to any other entity via the relationships table, enabling queries like:
crypto.timingSafeEqual)git clone https://github.com/pintomatic/kernal.git
cd kernal
npm install
npm run build
npm test # 50 tests
KERNAL_API_KEY=your-secret KERNAL_DB_PATH=~/.kernal/kernal.db npm run cloud
A Dockerfile is included. Environment variables:
npx tsx scripts/seed-demo.ts
Creates 12 contacts, 18 orgs, 19 activities with 123 relationships — a realistic professional services scenario.
MIT
Graph-native memory for AI agents: a knowledge graph built from conversation, via MCP.
{ "mcpServers": { "io.github.pintomatic-kernal-mcp": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}Tools
Noch keine Tool-Liste. Remote-Server erhalten eine nach dem ersten Health-Check.
FAQ
Kopieren Sie auf dieser Seite die stdio-Konfiguration für Cursor, Claude Desktop, Claude Code oder VS Code. Sie nutzt die Installation des Herausgebers, keinen PlugMCP-Proxy.
In diesem Eintrag ist keine erforderliche Umgebungsvariable aufgeführt.
Kernal läuft lokal über stdio.
Zuletzt geprüft: 2026-11-10. Graph-native memory for AI agents: a knowledge graph built from conversation, via MCP.