Oraclebone MCP server
io.github.sapuyou45-bit/oraclebone·v8.2.0·6 starsAudited tarot, I Ching, Xiao Liu Ren, Bazi (Four Pillars). Model never invents results.
6 stars49 downloads/wk
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Oraclebone tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-11-01 · same rubric, same numbers if you re-run it
- Code scan18 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 61 days ago12/15
- Maintainer identityregistry namespace matches repository owner6/10
How Oraclebone compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 85/100
- higher than 73% of 4,460 AI and agents servers
- GitHub stars
- 6
- more than 80% of 2,711 AI and agents servers
- Downloads a week
- 49
- more than 41% of 1,538 AI and agents servers with a package
Install Oraclebone in Claude Code, Cursor or VS Code
claude mcp add oraclebone -- uvx oraclebone
What the publisher says
From the Oraclebone repository's README, as published. We do not edit it. Read it on GitHub
Oraclebone
The bone cracks. The model reads. uvx oraclebone-mcp · Homepage · v8.2.0
Three thousand years ago, Shang kings carved their divinations into bone — the first auditable record of an oracle at work. Oraclebone brings the same discipline to AI agents: audited scripts produce the draw, the hexagram, the pillars; the model only interprets what it is given. It never invents the result.
<!-- mcp-name: io.github.sapuyou45-bit/oraclebone -->
English | 简体中文 | 日本語
Demo
🔮 Open-source divination toolkit for AI agents, formerly known as ai-divination-skills (renamed in v8.0.0 — the old PyPI package is frozen; install oraclebone instead).
oraclebone is a practical skill collection for tarot, I Ching, Xiao Liu Ren, and future symbolic systems. It is built for agent workflows that need auditable randomness, clear method boundaries, and reusable interpretation templates.
This project treats divination as symbolic reasoning and reflection, not deterministic prediction.
⚡ One-line Install for AI Agents
Paste this into your AI agent:
Install Oraclebone for this agent: https://raw.githubusercontent.com/sapuyou45-bit/oraclebone/main/docs/install.mdOr install directly for Claude-style local skills:
curl -fsSL https://raw.githubusercontent.com/sapuyou45-bit/oraclebone/main/install.sh | bashThe default target is ~/.claude/skills. Set AISKILLSDIR for another agent skill directory.
✨ Overview
Most AI divination prompts let the model invent the result. This repo separates the two jobs:
- A local script produces the card draw, hexagram, or Xiao Liu Ren position.
- The AI agent interprets that generated result with clear safety boundaries.
That makes readings easier to test, reproduce, audit, and reuse across agents.
🧭 Methodological Rigor
The core rule is simple: scripts or user-provided physical casts generate the divination result; AI interprets that result and does not generate the divination result.
This is not scientific proof of divination efficacy. It is a stricter workflow for symbolic reasoning:
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Oraclebone: common questions
- Is Oraclebone MCP server safe?
- Yes, by our scan: it is graded A (85/100). Read the Oraclebone safety report
- How do I install Oraclebone?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Oraclebone need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Oraclebone maintained?
- The last commit was 64 days ago (2026-09-01). The latest release is v8.2.0.
- How does Oraclebone compare with other AI and agents MCP servers?
- safety score 85/100 (higher than 73% of 4,460 AI and agents servers); github stars 6 (more than 80% of 2,711 AI and agents servers); downloads a week 49 (more than 41% of 1,538 AI and agents servers with a package). Full comparison.