Distillery
About
Persistent shared context for AI coding sessions — capture, search, synthesize with 18 MCP tools and ambient intelligence
Details
- Author
- norrietaylor
- Downloads
- 342
- Categories
- Other, Productivity
Jump to
- 14 Claude Code slash commands for knowledge management
- Semantic search with provenance via /recall
- Multi-entry synthesis with citations via /pour
- Duplicate detection during capture via /distill
- Feed monitoring and ambient digests via /watch and /radar
- GitHub issues and PR syncing via /gh-sync
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
DistilleryCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via claude plugin marketplace add norrietaylor/distillery then claude plugin install distillery. For a private knowledge base, run locally with uvx distillery-mcp and set a JINA_API_KEY. Run /setup to configure.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"distillery": {
"distillery": {
"url": "https://distillery-mcp.fly.dev/mcp",
"transport": "http"
}
}
}
}McpServers
{
"distillery": {
"url": "https://distillery-mcp.fly.dev/mcp",
"transport": "http"
}
}What is Distillery?
Distillery is a team knowledge base accessed through Claude Code skills. It refines raw information from working sessions, meetings, bookmarks, and conversations into concentrated, searchable knowledge — stored as vector embeddings in DuckDB and retrieved through natural language. Runs locally over stdio or as a hosted HTTP service with GitHub OAuth for team access.
Distillery captures the highest-value transformation — from noise to signal — and makes it a tool the whole team can use.
> Full documentation: norrietaylor.github.io/distillery
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