🧪 Distill

An MCP server that gives Claude Code a shared team knowledge base — a local LLM transforms your raw input into anonymous, factual knowledge before anything leaves your device.

No author. No frustration. No names. Just a clean, reusable fact.

Quick Start

pip install distill-mcp
ollama pull gemma3:4b && ollama pull nomic-embed-text
claude mcp add distill -- python -m distill_mcp

Then in Claude Code:

You:    "No, we don't use REST here. We switched to gRPC last month."

Claude: [saves to distill]
        Got it. I've noted that the team uses gRPC, not REST.

        ... next session, different repo ...

You:    "Set up the API for this new service."

Claude: [searches distill → finds gRPC decision]
        Based on your team's knowledge, I'll set up a gRPC
        service since the team switched from REST last month.

Distill saves when you correct a mistake or make a decision, and searches before proposing architecture — no prompting needed.

What makes this different

Every "memory MCP" stores your raw text in a database. Distill doesn't. The local LLM is a mandatory privacy gateway that transforms personal thoughts into impersonal team knowledge.

	Raw stays local	LLM distills	Team sync	Platform agnostic
Claude-Mem	Partial (<private> opt-out)	Cloud API compresses	Single-user	Claude Code only
Cipher	No	No	Yes	No
Supermemory	No	No	Yes	No
Mem0	Yes	No	No	Yes
Memctl	Yes	No	Yes	Yes
Distill	Yes	Yes	Yes	Yes

Based on public documentation as of March 2026.

Documentation

• Getting Started — full tutorial
• Installation — all setup options
• GCP Backend — team-shared database
• MCP Tools — all 8 tools
• Configuration — environment variables
• Architecture — Clean Architecture design
• Privacy Model — how your data stays private

Development

git clone https://github.com/5queezer/distill.git
cd distill
uv sync
uv run pytest tests/ -x -v

License

MIT