Hypabase
About
Hypergraph database for AI agents. Store n-ary relationships (edges connecting 2+ nodes), track provenance (source and confidence), and query paths — all backed by local
Details
- Author
- hypabase
- Downloads
- 327
- Categories
- Other, Database, Knowledge Base
Jump to
- Hyperedges connecting 2+ nodes in a single relationship
- Provenance tracking: every edge carries source and confidence
- SQLite persistence to a local file automatically
- O(1) vertex‑set lookup for exact node sets
- Namespace isolation via .database("name") within a single file
- MCP server with 14 tools and 2 resources for AI agents
- CLI for initialisation, nodes, edges, and queries
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
HypabaseCommand (node, npx, python, etc.)hypabase-mcpEnvironment-
HYPABASE_DB_PATH
hypabase.db
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
HYPABASE_DB_PATH
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via uv add hypabase (or uv add hypabase[mcp] for the MCP server, uv add hypabase[cli] for CLI). Use the Python API to create a Hypabase("file.db") instance, then call .edge(), .edges(), .paths(), .node(), .nodes(), .sources(), etc. Run the MCP server with hypabase mcp. CLI commands include hypabase init, hypabase node, hypabase edge, hypabase query, and hypabase stats.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"hypabase": {
"command": "hypabase-mcp",
"env": {
"HYPABASE_DB_PATH": "hypabase.db"
}
}
}
}
Command
"hypabase-mcp"
Env
{
"HYPABASE_DB_PATH": "hypabase.db"
}
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