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URL: https://mcp.so/server/distillery/norrietaylor

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Distillery

@norrietaylor

Persistent shared context for AI coding sessions โ€” capture, search, synthesize with 18 MCP tools and ambient intelligence
Overview

Distillery

Team Knowledge, Distilled
Capture, classify, connect, and surface team knowledge through conversational commands.

Documentation ยท Skills ยท Quick Start ยท Roadmap ยท Slides

๐Ÿ‘ PyPI version
๐Ÿ‘ PyPI downloads
๐Ÿ‘ License
๐Ÿ‘ Python version


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 โ€” 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 โ€” from noise to signal โ€” and makes it a tool the whole team can use.

Full documentation: norrietaylor.github.io/distillery

๐Ÿ‘ Distillery demo โ€” /distill captures a decision, /pour synthesizes it

Skills

Distillery provides 14 Claude Code slash commands:

SkillPurposeExample
/distillCapture session knowledge with dedup detection/distill "We decided to use DuckDB for local storage"
/recallSemantic search with provenance/recall distributed caching strategies
/pourMulti-entry synthesis with citations/pour how does our auth system work?
/bookmarkStore URLs with auto-generated summaries/bookmark https://example.com/article #caching
/minutesMeeting notes with append updates/minutes --update standup-2026-03-22
/classifyClassify entries and triage review queue/classify --inbox
/watchManage monitored feed sources/watch add github:duckdb/duckdb
/radarAmbient feed digest with source suggestions/radar --days 7
/tuneAdjust feed relevance thresholds/tune relevance 0.4
/digestTeam activity summary from internal entries/digest --days 7 --project myapp
/gh-syncSync GitHub issues/PRs into the knowledge base/gh-sync owner/repo --issues
/investigateDeep context builder with relationship traversal/investigate distributed caching
/briefingTeam knowledge dashboard with metrics/briefing --days 7
/setupOnboarding wizard for MCP connectivity and config/setup

Quick Start

Step 1: Install the Plugin

claude plugin marketplace add norrietaylor/distillery
claude plugin install distillery

This installs all 14 skills. The plugin defaults to a hosted demo server โ€” you can start using Distillery immediately.

Demo Server: distillery-mcp.fly.dev is for evaluation only. Do not store sensitive or confidential data.

Step 2: Switch to Local with uvx (Recommended)

For a private knowledge base, run the MCP server locally with uvx โ€” no persistent install needed:

# Get a free API key from jina.ai, then:
export JINA_API_KEY=jina_...

Add to ~/.claude/settings.json (overrides the plugin's demo server):

{
 "mcpServers": {
 "distillery": {
 "command": "uvx",
 "args": ["distillery-mcp"],
 "env": {
 "JINA_API_KEY": "${JINA_API_KEY}"
 }
 }
 }
}

Restart Claude Code and run the onboarding wizard:

/setup

See the Local Setup Guide for full configuration options, or deploy your own instance for team use.

Development

uv pip install -e ".[dev]"
# or
pip install -e ".[dev]"
pytest # run tests
mypy --strict src/distillery/ # type check
ruff check src/ tests/ # lint

See Contributing for the full guide.

License

Apache 2.0 โ€” see LICENSE for details.

Server Config

{
 "mcpServers": {
 "distillery": {
 "url": "https://distillery-mcp.fly.dev/mcp",
 "transport": "http"
 }
 }
}
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