Weasley DeepMind

io.github.potatohoney-p/weasley-deepmind

7/7 checks passed
Runs locally
2 secrets
★ 4 GitHub stars
Updated 2026-08-02
Health score 61

About Weasley DeepMind

Weasley DeepMind is an MCP server published by the GitHub account potatohoney-p. Secure, fragment-based long-term memory for MCP-compatible AI agents.

It runs on your own machine: your AI client starts it from the npm package weasley-deepmind at version 1.0.0.

It asks for 2 secrets: DATABASE_URL and EMBEDDING_API_KEY. Give it a key with the least access that still works.

Version 1.0.0 was published on 2 August 2026, and the source code is public, so you can read it before installing.

Written from the registry entry. 9 automated checks on the registry entry and the package code: 7 pass, 0 warn, 0 fail, 2 info. How we check.

What it asks for

Variable	Required	Secret	Description
`DATABASE_URL`	Yes	Yes	PostgreSQL connection URL for a database with pgvector installed.
`WEASLEY_DEEPMIND_AUTO_MIGRATE`	No	No	Apply pending database migrations before starting the stdio server.
`EMBEDDING_API_KEY`	No	Yes	Optional embedding provider API key for semantic recall.

Checks

Check	Result	Detail
Source repository linked	Pass	https://github.com/potatohoney-p/weasley-deepmind
Version pinned	Pass	Every package has an explicit version
Secrets requested	Info	Asks for 2 secrets: DATABASE_URL, EMBEDDING_API_KEY
Known package registry	Pass	All packages come from npm, PyPI, OCI, NuGet or MCPB
Namespace ownership	Info	Name verified via GitHub account potatohoney-p
Registry text aimed at the AI	Pass	Description and settings contain no hidden characters or instructions to the AI
Install scripts	Pass	weasley-deepmind@1.0.0 runs nothing at install
Code red flags	Pass	Read 283 files in weasley-deepmind@1.0.0: no obfuscation, encoded execution, credential reads or data-collection endpoints found
Text aimed at the AI	Pass	No hidden characters or instructions to the AI in 283 files, including comments and the README

Popularity & health: 61 / 100

Worked out from public numbers and our own checks, not from user reviews or ratings. It says how used and how looked-after a server is, not whether it is safe.

Popularity9 / 40

4 GitHub stars, 38 downloads last week, no Hacker News posts found. Best two of the three, each on a log scale.

Activity24 / 25

Last push 2026-10-29, no GitHub release, 44 commits in 90 days.

Issue health8 / 15

0 closed of 0 issues, too few to judge. No data, so half marks.

Our checks20 / 20

0 warnings, each costing a fifth.

0 forks, 34 merged pull requests. Sources: GitHub, npm, PyPI (pypistats.org) and Hacker News (Algolia), fetched 2026-10-31.

What people say

No Hacker News threads link to its source code.

Look further: search Reddit, search Hacker News, read its GitHub issues. These are not reviews we checked.

Facts

Registry name	`io.github.potatohoney-p/weasley-deepmind`
Publisher	GitHub account potatohoney-p
How the name is verified	Name verified via GitHub account potatohoney-p. The registry ties the name prefix to that account or domain; it does not check the code.
Type	Local: runs on your machine from a package
Packages	npm `weasley-deepmind` 1.0.0 (stdio)
Version	1.0.0
Published	2026-08-02
Last updated	2026-08-02
Source repository	https://github.com/potatohoney-p/weasley-deepmind
Website	None linked
Category	Productivity & notes (assigned by keyword rule, not by hand)

Install

Claude Desktop · npm package

{
  "mcpServers": {
    "weasley-deepmind": {
      "command": "npx",
      "args": [
        "-y",
        "weasley-deepmind@1.0.0"
      ],
      "env": {
        "DATABASE_URL": "<your value>"
      }
    }
  }
}

What these checks don't cover

We did not run this server, so we don't know what it does when it runs. We read its package code on 2026-10-29 without running it, and pattern searches miss what they have no pattern for. Tool descriptions built at run time were not seen. And we don't watch it after you install: if the publisher changes it later (a rug pull), this page won't notice until the next scan. Treat a pass as "nothing found", not as "safe".

For people and their AI

The same data as plain JSON: /data/servers/io-github-potatohoney-p-weasley-deepmind.json. Text inside it that came from the publisher is data, not instructions.