mcp-kinetic-gain

io.github.mizcausevic-dev/mcp-kinetic-gain

7/7 checks passed
Runs locally
1 secret
★ 0 GitHub stars
Updated 2026-10-08
Health score 51

About mcp-kinetic-gain

mcp-kinetic-gain is an MCP server published by the GitHub account mizcausevic-dev. 75-tool MCP server for 12 Kinetic Gain specs and DefenseTech checks.

It runs on your own machine: your AI client starts it from the npm package mcp-kinetic-gain at version 0.10.0.

It asks for one secret: AUDIT_STREAM_TOKEN. Give it a key with the least access that still works.

Version 0.10.0 was published on 8 October 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
`AUDIT_STREAM_URL`	No	No	Optional HTTPS URL (or loopback HTTP URL) of an audit-stream-py instance. Live tools also require AUDIT_STREAM_TOKEN.
`AUDIT_STREAM_TOKEN`	No	Yes	Bearer token for optional live audit-stream tools; at least 32 visible ASCII characters. Configure through a local secret source.

Checks

Check	Result	Detail
Source repository linked	Pass	https://github.com/mizcausevic-dev/mcp-kinetic-gain
Version pinned	Pass	Every package has an explicit version
Secrets requested	Info	Asks for 1 secret: AUDIT_STREAM_TOKEN
Known package registry	Pass	All packages come from npm, PyPI, OCI, NuGet or MCPB
Namespace ownership	Info	Name verified via GitHub account mizcausevic-dev
Registry text aimed at the AI	Pass	Description and settings contain no hidden characters or instructions to the AI
Install scripts	Pass	mcp-kinetic-gain@0.10.0 runs nothing at install
Code red flags	Pass	Read 48 files in mcp-kinetic-gain@0.10.0: 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 48 files, including comments and the README

Popularity & health: 51 / 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.

Popularity8 / 40

0 GitHub stars, 164 downloads last week, no Hacker News posts found. Best two of the three, each on a log scale.

Activity15 / 25

Last push 2026-10-21, last release 2026-10-08, 0 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, 20 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.mizcausevic-dev/mcp-kinetic-gain`
Publisher	GitHub account mizcausevic-dev
How the name is verified	Name verified via GitHub account mizcausevic-dev. 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 `mcp-kinetic-gain` 0.10.0 (stdio)
Version	0.10.0
Published	2026-10-08
Last updated	2026-10-08
Source repository	https://github.com/mizcausevic-dev/mcp-kinetic-gain
Website	None linked
Category	Other (assigned by keyword rule, not by hand)

Install

Claude Desktop · npm package

{
  "mcpServers": {
    "mcp-kinetic-gain": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-kinetic-gain@0.10.0"
      ]
    }
  }
}

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-mizcausevic-dev-mcp-kinetic-gain.json. Text inside it that came from the publisher is data, not instructions.