kybase-mcp

Persistent memory for AI agents, as a single command:

npx kybase-mcp

No Docker, no database to install, no server to run. The first start creates a local knowledge base under ~/.kybase and speaks MCP over stdio. Your notes are plain Markdown in Postgres — running on your machine, leaving it only if you choose a cloud embedding provider.

This is the same MCP server the full Kybase app exposes over HTTP. Use this package when you want memory for a local agent; use the full app when you also want the web UI, the knowledge graph view, sharing, and access for several agents at once.

Connect an agent

Claude Code — .mcp.json in your project, or claude mcp add:

{
  "mcpServers": {
    "kybase": {
      "command": "npx",
      "args": ["-y", "kybase-mcp"]
    }
  }
}

Claude Desktop — the same block in claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json, Windows: %APPDATA%\Claude\claude_desktop_config.json).

Cursor — the same block in .cursor/mcp.json or ~/.cursor/mcp.json.

Several clients on one machine can use it at once: the first process to start owns the database, and the others connect to that process.

Restart the client and ask it to remember something. It gets 18 tools for reading, searching, writing, and linking notes.

Claude Desktop, one click — download kybase-mcp-<version>.mcpb from Releases and open it; the data folder and embedding provider are set in the extension's settings.

The server is listed in the official MCP Registry as io.github.Kyrzin/kybase.

Search

Full-text search works immediately, in English and Russian, accent- and case-insensitive.

Semantic search — finding a note by meaning when it shares no words with your question — needs an embedding provider. The local option is Ollama:

ollama pull embeddinggemma
OLLAMA_URL=http://localhost:11434 npx kybase-mcp

Existing notes are embedded in the background as soon as a provider is available; indexing_status reports progress. Without one, nothing breaks — semantic search simply stays idle.

Reading your notes

The embedded database is not a folder of .md files, so this writes the whole vault out as one:

kybase-mcp export vault.zip

Plain Markdown with frontmatter, folders as directories, [[wikilinks]] intact — open it in any editor. It is also exactly the archive the full Kybase app accepts under Settings → Import .zip, so starting here and moving to the web UI later costs one command in each direction.

Configuration

Every variable is optional.

Build from source

The package bundles code from the main repository, so build it from a checkout rather than from this directory alone:

git clone https://github.com/Kyrzin/kybase.git
cd kybase/packages/kybase-mcp
npm install          # also builds, via the prepare script
npm install -g .     # puts `kybase-mcp` on your PATH

Your data

Everything is under KYBASE_DATA_DIR:

• pgdata/ — the database itself (Postgres compiled to WebAssembly, with pgvector). Copy the directory to back it up.
• secret — generated on first run, 0600. It encrypts any embedding provider API keys you store. Keep it with the data.
• run/ — the unix socket the database listens on, in a 0700 directory. It has no password, so file permissions are the access control. Windows cannot listen on a socket path, so there the database binds an unused loopback port instead — reachable by other processes running as you, and never from another machine. KYBASE_EMBEDDED_TCP=1 forces that mode on Unix too, for a data directory on a filesystem that cannot host a socket.

Expect the process to hold a few hundred MB of memory while it runs: the embedded database is a full Postgres, and it lives inside it. Pointing DATABASE_URL at a Postgres you already run avoids that entirely.

Note content is plain Markdown and every note is readable through the MCP tools, so an agent can always read the whole vault back out, and kybase-mcp export writes it out as files — see Reading your notes.

License

AGPL-3.0-only.