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Steelmind

by stabganversion 2.0.1i★ –iRuns on your computer
Registry nameio.github.stabgan/steelmind

Install

Overview

Description from the maker (original English)

Structured thinking + steel-manning verification for AI agents. Backed by 43+ papers.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "steelmind": {
      "command": "npx",
      "args": [
        "-y",
        "@stabgan/steelmind-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add steelmind -- npx -y @stabgan/steelmind-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "steelmind": {
      "command": "npx",
      "args": [
        "-y",
        "@stabgan/steelmind-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "steelmind": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@stabgan/steelmind-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account stabgan, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5666 servers in this category
  • Published to the registry more recently than 8% of the other 5666 servers in this category
  • Basic checks equal to or better than 100% of the other 5666 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Steelmind safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.0.1) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Steelmind MCP — Structured Thinking & Verification for AI Agents

The research-grounded reasoning MCP server for AI agents. Combines step-by-step sequential thinking with steel-manning verification — backed by 43+ cognitive science and AI research papers.

Steelmind gives your AI agent two tools:

  • `think` — Record structured reasoning steps with sequential decomposition. Embeds Socratic self-questioning and Polya's problem-solving method.
  • `verify` — Challenge conclusions with steel-manning before committing. Embeds dialectical evaluation from MetaCrit and SIEV research.

The code is minimal. The descriptions do the heavy lifting — tool descriptions account for ~80% of reasoning improvement per Anthropic τ-bench research.

Why Steelmind?

FeatureThink MCPSequential ThinkingSteelmind
Step tracking✗✓✓
Adjustable step count✗✓✓
Cognitive mode separation✗✗✓
Steel-manning verification✗✗✓
Socratic self-questioning✗✗✓
Research-grounded descriptions✗✗✓
Verify nudge on completion✗✗✓
Tool count112

Key research insight: MetaCrit (arxiv 2507.15015) proved that separating reasoning generation from reasoning evaluation prevents self-bias and improves accuracy by up to 76%. Sequential-thinking uses one tool for both. Steelmind separates them.

Quick Start

npx (no install)
{

"mcpServers": { "steelmind": { "command": "npx", "args": ["-y", "@stabgan/steelmind-mcp"] } } }

Docker
{

"mcpServers": { "steelmind": { "command": "docker", "args": ["run", "--rm", "-i", "stabgan/steelmind-mcp"] } } }

npm global install
npm install -g @stabgan/steelmind-mcp
{

"mcpServers": { "steelmind": { "command": "steelmind-mcp" } } }

How It Works

The think tool

Records a structured reasoning step with sequential tracking.

Input:

{

"thought": "What are the dependencies? Need to check imports before refactoring.", "thoughtNumber": 1, "totalThoughts": 3, "nextThoughtNeeded": true }

Output (mid-sequence):

[Thinking 1/3]

What are the dependencies? Need to check imports before refactoring.

Output (final step — includes verify nudge):

[Thinking 3/3]

My conclusion: use the adapter pattern for backward compatibility.


Thinking complete. Before acting on this conclusion, use the verify tool to challenge it.

The verify nudge appears in the tool result (not just the description), making it far more likely the model will actually call verify. Tool results get different attention treatment than descriptions — they're processed as fresh context.

The verify tool

Challenges your reasoning with steel-manning before you commit.

Input:

{

"concern": "The adapter pattern adds complexity. Is the simpler approach actually better?" }

Output:

The adapter pattern adds complexity. Is the simpler approach actually better?

Pure identity function — returns your concern unchanged. The value is in the description, which prompts: _"Steel-man the opposition: What is the strongest argument that your conclusion is wrong?"_

The workflow
think(step 1/3) → think(step 2/3) → think(step 3/3) → [verify nudge] → verify → act

↑ adjust totalThoughts if needed

Research Foundation

Steelmind's design is grounded in 43+ research papers. Key findings:

PaperFindingHow Steelmind Uses It
MetaCrit (arxiv 2507.15015)Separating generation from evaluation prevents self-biasTwo separate tools: think (generate) + verify (evaluate)
Anthropic τ-benchOptimized tool descriptions yield 54% improvementDescriptions are the primary scaffold, not code
Think2 (arxiv 2602.18806)Structured metacognition yields 3x self-correctionSequential step tracking + Socratic questioning
SIEV (ICML)Models lose 40+ points under dialectical evaluationSteel-manning prompt in verify description
Scaling TTC (arxiv 2408.03314)Difficulty-adaptive compute improves efficiency 4xAdjustable totalThoughts
EasyTool (NAACL 2025)Concise descriptions outperform verbose ones~100 word descriptions
ToolACE"When NOT to use" improves irrelevance detection 6→84%Negative guidance in both descriptions
Cognitive Foundations (arxiv 2511.16660)External scaffolding improves performance up to 72%Research-grounded cognitive frameworks

Compatible Clients

Works with any MCP-compatible client:

  • Claude Desktop / Claude Code
  • Cursor
  • Windsurf
  • Kiro
  • Cline
  • Any client supporting MCP stdio transport

Compatible Models

Designed for frontier models but works across families:

  • Claude (Opus, Sonnet) — native MCP
  • GPT-5 / GPT-4o / o-series — via MCP adapters
  • Gemini — via MCP adapters
  • DeepSeek — via MCP adapters

Development

npm install          # Install dependencies

npm run build # Compile TypeScript npm test # Run 90 tests npm run lint # ESLint npm run format # Prettier npm start # Run the server

License

MIT

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