base120-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@base120-mcpApply First Principles and Inversion to our API caching design."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
base120-mcp
120 validated mental models packaged as an MCP server to upgrade reasoning, prompt engineering, and architectural decisions in Claude Desktop, Cursor, and Windsurf.
Quickstart • The 6 Domains • Claude Desktop Setup • Engineering Verification
The 6 Reasoning Domains
Related MCP server: Tycana
What is Base120?
Most AI agents struggle with complex, ambiguous problems because they default to single-perspective reasoning.
Base120 is a structured library of 120 operational mental models (Inversion, First Principles, Ashby's Law of Requisite Variety, Nash Equilibrium, Antifragility) that give LLMs the exact operators needed to deconstruct hard engineering challenges.
Claude Desktop Setup
Add base120-mcp directly to your claude_desktop_config.json:
{
"mcpServers": {
"base120": {
"command": "python",
"args": ["-m", "base120_mcp.server"]
}
}
}Now you can ask Claude in natural language:
"Use Base120 Inversion and Ashby's Law to critique our new distributed task queue architecture."
MCP Tools Provided
base120_search: Search mental models by domain or problem description.base120_apply: Generate structured reasoning scaffolds for applying a specific model to an active problem statement.
Engineering Rigor & Verification
Tests: 100% passing test suite across Python 3.10-3.13.
Zero Dependencies: Pure Python standard library (
json,sys,dataclasses).Author: Reuben Bowlby — LinkedIn | Resume
Enterprise Core
Base120 is the cognitive reasoning core of the HUMMBL platform. For enterprise multi-agent governance and formal Lean 4 verification, visit github.com/hummbl-io.
This server cannot be deployed
Maintenance
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AI Reasoning Cache & Consensus Layer with 11 MCP tools via Streamable HTTP.
Patterns for designing and reviewing AI skills, agents, and multi-agent workflows. Find guidance on context economy, delegation, verification, and tool design; inspect claims, worked examples, maturity labels, and source references. Five read-only tools let agents discover relevant patterns, compare concise cards, read specific sections, and explore relationships. Hosted Streamable HTTP at https://agentic-atlas.dev/mcp/ — no installation, account, or API key required. Browse the atlas at https://agentic-atlas.dev/.
Your product team's shared strategic memory — an MCP server your AI tools reason over.
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
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