🧪 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.

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