MCP.Market

M1nd MCP server

by maxkle1nz·io.github.maxkle1nz/m1nd·v1.5.0·21 stars

The shell around your coding agent: a neuro-symbolic code graph with calibrated trust, via MCP.

A92/100grade A
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Safety scan
A92/100

full report

Adoption
Growing

21 stars42 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

M1nd tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it

no findings
  • Code scan7 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 1 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How M1nd compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 90% of 4,460 AI and agents servers
GitHub stars
21
more than 90% of 2,711 AI and agents servers
Downloads a week
42
more than 34% of 1,538 AI and agents servers with a package

Install M1nd in Claude Code, Cursor or VS Code

Runs npx -y @maxkle1nz/m1nd on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add m1nd -- npx -y @maxkle1nz/m1nd
Add to Cursor

What the publisher says

From the M1nd repository's README, as published. We do not edit it. Read it on GitHub

m1nd gives your coding agent a brain per repository: a local code graph served over MCP, memory anchored to the code it cites, and a trust verdict on every answer. "Insufficient evidence" is a real answer here. So is "don't trust this yet, and here is how to repair it".

Nothing leaves your machine. One Rust binary. MIT.

Think of it as an X-ray of your repo that your agent can read: one structure that combines everything and says where each thing lives, what that program is for, what is being worked on, what is done and what is still open. That panorama is the thing no other tool hands your agent.

Five commands to install: Sixty seconds. Reasons to close the tab first: When not to use m1nd.

A real session on this repo's 6,453-node graph (m1nd-mcp 1.4.0): north orients, seek answers wearing a reverify verdict, memorize anchors the finding to code.

The audit your agent stops paying for

You know the ritual. The agent opens a file, greps, opens another file, greps again, burns most of its context reconstructing what the repo even is, and only then starts the actual task. With m1nd that sweep becomes one question. In under a second the agent has the map: what calls what, what breaks what, where everything lives. Not a pile of matches to interpret. The connected structure, already assembled.

And it remembers. Between sessions, and between agents. What one agent learns tonight, another agent inherits tomorrow, with the evidence attached and a flag if the code moved on since. Every conclusion leaves a trail, so you, or any agent that comes after, can always see what happened to that code and why.

Then l1ght takes it further: papers, articles, RFCs, drafts and notes connect to the parts of your code they explain, inside the same structure. The agent gets the RIGHT context instead of the nearest-sounding one, and inventing code that does not exist stops being the path of least resistance: the structure says what exists, and the verdict says how much to trust even that.

Before m1nd, a function was just a function, lost in some manual. Now it lives inside the agent's intelligence, combined with the code, its history, its documents and its risks. I have not found anything like that anywhere else.

grep answers good questions. m1nd answers the deeper ones.

Questions your agent can now ask and get a structural answer for:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

M1nd: common questions

Is M1nd MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the M1nd safety report
How do I install M1nd?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does M1nd need an API key?
No secret keys are declared. It reads 1 setting from the environment.
Is M1nd maintained?
The last commit was 41 days ago (2026-09-23). The latest release is v1.5.0.
What can I use instead of M1nd?
Servers from other publishers that do the same job: Total Agent Memory MCP server, Serena MCP: the IDE for your agent MCP server and Figma Context MCP server.
How does M1nd compare with other AI and agents MCP servers?
safety score 92/100 (higher than 90% of 4,460 AI and agents servers); github stars 21 (more than 90% of 2,711 AI and agents servers); downloads a week 42 (more than 34% of 1,538 AI and agents servers with a package). Full comparison.

Alternatives to M1nd

Same job from other publishers: the closest match first, then the best rated.

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    A
  • Serena MCP: the IDE for your agent
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  • Figma Context
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    B
  • SuperCompress
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    B
  • Orcareplay
    Read, replay and fork recorded coding-agent runs.
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