What dependencies are required?
Python 3.11+ and a JINA_API_KEY from jina.ai for local or hosted use. The demo server at distillery-mcp.fly.dev requires no setup.

@norrietaylor
Basic information
Persistent shared context for AI coding sessions — capture, search, synthesize with 18 MCP tools and ambient intelligence
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"distillery": {
"url": "https://distillery-mcp.fly.dev/mcp",
"transport": "http"
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list directly from this server's endpoint using the button above.
Distillery is a team knowledge base accessed through Claude Code skills. It captures raw information from working sessions, meetings, bookmarks, and conversations, storing them as vector embeddings in DuckDB for natural language retrieval. It runs locally over stdio or as a hosted HTTP service with GitHub OAuth.
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.
/recall/pour/distill/watch and /radar/gh-syncPython 3.11+ and a JINA_API_KEY from jina.ai for local or hosted use. The demo server at distillery-mcp.fly.dev requires no setup.
When running locally with uvx, data is stored in a local DuckDB database on your machine. The demo server stores data temporarily and is for evaluation only.
Override the plugin's demo server by adding a `distillery` entry in `~/.claude/settings.json` with `uvx` command and your JINA_API_KEY.
It runs over stdio for local use or as an HTTP service with GitHub OAuth for team access.
No. The demo server at distillery-mcp.fly.dev is for evaluation only; do not store sensitive or confidential data.

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