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OpenCrab MCP Server

AlexAI-MCP/OpenCrab

Score: 53.6 Rank #44 MCP Server
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MetaOntology OS MCP Plugin ? All agent environments evolve toward ontology-structured forms

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Overview

AlexAI-MCP/OpenCrab is a Python tool. MetaOntology OS MCP Plugin ? All agent environments evolve toward ontology-structured forms

Ranked #44 out of 109 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 11

11 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Good
License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

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License low impact

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Contributors medium impact

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From the README

<p align="center">
  
</p>

# OpenCrab

**MetaOntology OS MCP Server Plugin**

> Carcinization is the evolutionary tendency for crustaceans to converge on a crab-like body plan.
> OpenCrab applies the same principle to agent environments:
> all sufficiently advanced AI systems eventually evolve toward ontology-structured forms.

OpenCrab is an MCP (Model Context Protocol) server that exposes the MetaOntology OS grammar
to any OpenClaw-compatible agent environment — Claude Code, n8n, LangGraph, and beyond.

---

## Architecture

```
                        ┌─────────────────────────────────────────────┐
                        │           OpenCrab MCP Server               │
                        │              (stdio JSON-RPC)               │
                        └──────────────────┬──────────────────────────┘
                                           │
              ┌────────────────────────────┼────────────────────────────┐
              │                           │            
Read full README on GitHub →

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