MCP server: analytical decision frameworks from public domain knowledge — scenario analysis, risk assessment, historical pattern recognition. Built for AI agents doing coordination and planning work.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add decision-intelligence-mcp -- python -m classical-strategy-mcp{
"mcpServers": {
"decision-intelligence-mcp": {
"command": "python",
"args": ["-m", "classical-strategy-mcp"]
}
}
}MCP Servers overview
# classical-strategy-mcp <!-- mcp-name: io.github.gabrielmahia/decision-intelligence-mcp --> **5,000 years of military strategy, philosophy, and decision science — as AI-accessible tools.** --- **Compatible with `claude-sonnet-5`** (released 2026-06-30) --- An MCP (Model Context Protocol) server exposing structured public domain knowledge from history's greatest strategic thinkers. Connect to Claude, GPT, or any MCP-compatible AI assistant and access the complete strategic literature of human civilization. ## Commanders and Thinkers | Commander | Dates | Signature Doctrine | Source | |-----------|-------|-------------------|--------| | Sun Tzu | ~500 BC | Supreme excellence: win without fighting | Art of War (PD) | | Julius Caesar | 100-44 BC | Speed + fortification + political intelligence | Gallic Wars (PD) | | Hannibal Barca | 247-183 BC | Cannae double envelopment | Polybius, Livy (PD) | | Alexander the Great | 356-323 BC | Hammer and anvil, oblique approach | Arrian, Plutarch (PD) | | Julius Caesar | 100-44 BC | Speed, engineering, clemency as weapons | De Bello Gallico (PD) | | Napoleon Bonaparte | 1769-1821 | Corps system, central position, decisive battle | 115 Maxims (PD) | | Carl von Clausewitz | 1780-1831 | Fog, friction, center of gravity, culminating point | On War (PD) | | Frederick the Great | 1712-1786 | Oblique order, interior lines | Instructions for His Generals (PD) | | Shaka Zulu | 1787-1828 | Iklwa, bull-horn formation, amabutho system | Isaacs, Fynn (PD) | | Genghis Khan | 1162-1227 | Yam intelligence, feigned retreat, total warfare | Secret History (PD) | ## Tools ```python napoleon_maxims(category="strategy") # 115 maxims, filterable sun_tzu(chapter=3) # Art of War by chapter commander_doctrine(commander="hannibal") # Doctrine deep-dive apply_strategy(problem="...", lens="competition") # Apply to modern problem public_domain_library(domain="military") # Full bibliography ``` ## Quick Start ```bash pip install classical-strategy-mcp # Claude Code claude mcp add strategy -- classical-strategy-mcp # Or run directly classical-strategy-mcp ``` ## What This Is Not This is a research and analytical tool. Public domain military history for: - Strategic analysis and decision frameworks - Historical research and education - Leadership and organizational thinking - Competitive strategy and planning Not for operational military planning. ## The Public Domain Opportunity Every work cited here is in the public domain. The content is free. The value is in: - Structured access (not raw text scanning) - AI-native interfaces (not PDFs) - Synthesis across traditions (not single-source) - Modern application frameworks (not historical trivia) This is the model for the next wave of knowledge infrastructure. ## All Sources — Public Domain - Napoleon's Maxims (1831) - Clausewitz, On War / Vom Kriege (1832) - Caesar, De Bello Gallico (58-50 BC) - Arrian, Anabasis of Alexander (~130 AD) - Polybius, Histories (~150 BC) - Livy, History of Rome (27 BC-17 AD) - Sun Tzu, The Art of War (~500 BC) - Frederick the Great, Instructions for His Generals (1747) - Vegetius, Epitome Rei Militaris (~390 AD) - Thucydides, History of the Peloponnesian War (~400 BC) - Nathaniel Isaacs, Travels in Eastern Africa (1836) — Shaka Zulu - Henry Francis Fynn, Diary (1830s) - Anonymous, The Secret History of the Mongols (~1240) - Juvaini, History of the World-Conqueror (1260) - Marcus Aurelius, Meditations (~170-180 AD) - Machiavelli, The Prince (1532) and Art of War (1521) - Seneca, Letters from a Stoic (~65 AD) - Epictetus, Enchiridion (~135 AD) --- **Part of the [East Africa AI coordination infrastructure](https://github.com/gabrielmahia)** *Public domain as raw material. AI as the refinery. Knowledge as the product.* ## Part of the East Africa Coordination Stack This MCP server is part of the Kenya coordination infrastructure. Connect it to [`africa-coord-bus`](https://github.com/gabrielmahia/africa-coord-bus) — the coordination event bus that routes signals between domains automatically. ```bash pip install africa-coord-bus ``` All servers: [pypi.org/user/gmahia](https://pypi.org/user/gmahia/) Live demo: [coord-cascade-demo](https://github.com/gabrielmahia/coord-cascade-demo) ## IP & Collaboration MIT licensed. Feedback via GitHub Issues only — pull requests are not accepted. Demo data is labeled DEMO and is not suitable for operational decisions. Full policy: [docs/architecture/IP_POLICY.md](docs/architecture/IP_POLICY.md). Security reports: see [SECURITY.md](SECURITY.md). <!-- interconnect:v1 --> ## Part of the East Africa coordination stack - **Install & run:** `pip install reli-cli && reli list` — the MCP servers on the [official MCP Registry](https://registry.modelcontextprotocol.io) under `io.github.gabrielmahia` - **Evaluate any model on Swahili agent tasks:** [kipimo](https://github.com/gabrielmahia/kipimo) · [dataset](https://huggingface.co/datasets/gmahia/kipimo) · [leaderboard](https://huggingface.co/spaces/gmahia/kipimo-leaderboard) - **Coordinate across servers:** [africa-coord-bus](https://pypi.org/project/africa-coord-bus/) — offline-first event bus with a built-in Kenya routing table - **Datasets:** [huggingface.co/gmahia](https://huggingface.co/gmahia) · **Docs hub:** [nairobi-stack](https://github.com/gabrielmahia/nairobi-stack) Model-agnostic by design: closed APIs, open-weight models, and small distilled models are all first-class citizens. <!-- /interconnect:v1 -->
What people ask about decision-intelligence-mcp
What is gabrielmahia/decision-intelligence-mcp?
+
gabrielmahia/decision-intelligence-mcp is mcp servers for the Claude AI ecosystem. MCP server: analytical decision frameworks from public domain knowledge — scenario analysis, risk assessment, historical pattern recognition. Built for AI agents doing coordination and planning work. It has 0 GitHub stars and its last recorded update is dated 2026-10-14.
How do I install decision-intelligence-mcp?
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You can install decision-intelligence-mcp by cloning the repository (https://github.com/gabrielmahia/decision-intelligence-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is gabrielmahia/decision-intelligence-mcp safe to use?
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Our security agent has analyzed gabrielmahia/decision-intelligence-mcp and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains gabrielmahia/decision-intelligence-mcp?
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gabrielmahia/decision-intelligence-mcp is maintained by gabrielmahia. The last recorded GitHub activity is dated 2026-10-14, with 0 open issues.
Are there alternatives to decision-intelligence-mcp?
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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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