Memory and knowledge · MCP server
Distil: MCP server, setup and security
Distil is an MCP server published on GitHub that lets an AI agent compress large tool outputs and expand recoverable handles on demand. Its repository has 20 stars and its last commit is from October 24, 2026, but it declares no licence.
What Distil does
According to its repository: “Reversibly compress large tool outputs into recoverable handles, expand them on demand and track token and cost savings locally.”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Distil is listed under Memory and knowledge, a category of 250 servers in the directory, where it ranks #146 by stars.
Topics declared by the repository: agents, ai-infrastructure, anthropic, context-compression, cost-optimization, llmops.
Installing and connecting Distil
Distribution modes declared in the official MCP registry:
- PyPI package (Python, started with
uvxorpip)
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
Points found for Distil:
- No licence: without a licence the code is not legally reusable, even if it is public. Avoid it in a company setting without the author's agreement.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on June 21, 2026, the dshakes/distil repository has 20 stars and 3 forks, with 2 open issues. It has more stars than 38% of the servers in the directory. It received changes this month. Version published in the registry: 1.30.0 (July 25, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Distil is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Listed in the official MCP registry
Limitations
- No licence declared
Avoid if…
- Company use without the author's agreement
Alternatives
- Context763.6K ★
- Basic memory4.3K ★
- Hindsight53.4K ★
- Cognee32.7K ★
- Skill Seekers15.2K ★
- Honcho7.8K ★
Learn more
Frequently asked questions
How do I install Distil?
Distil is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of dshakes/distil.
Is Distil free?
The code is public but has no declared licence: it is not formally free to reuse.
Is Distil safe?
Points to watch: no licence. Give it minimum rights and approve sensitive actions.
Is it an official server?
Nothing says so: it is a project published by dshakes on GitHub. Check who maintains it before giving it access.
What are the alternatives to Distil?
In the same category: Context7, Basic memory, Hindsight, and Cognee. Context7 and Basic memory score higher on our grid.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score