io.github.gabrielmahia/decision-intelligence-mcp
PYPI · DECISION-INTELLIGENCE-MCP
Public-domain military strategy and philosophy texts as MCP tools: Sun Tzu, Napoleon and more.
Available components
Last scanned (15 hours ago)
Scores higher than 98% of PyPI servers
Category Education and Research
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 1 of 15 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to gabrielmahia/decision-intelligence-mcp). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 1 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability73
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 810 tokens (~162/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- Package version: 0.1.5 → 0.1.8 functional
- 2 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- Package version: 0.1.7 → 0.1.8 functional
- 31 Oct 26 0
- Stability: 0.97 → pass security
- 30 Oct 26 0
- Stability: pass → 0.97 functional
- 24 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- Stability: 0.97 → pass security
- 23 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- Stability: pass → 0.97 functional
- Package version: 0.1.6 → 0.1.7 functional
- 22 Oct 26 +25
- Malware scan: unverified → pass ▲ security
- Provenance: unverified → pass ▲ security
- The attested source repository moved: gabrielmahia/decision-intelligence-mcp security
- 21 Oct 26 −25
- Provenance: pass → unverified ▼ security
- Malware scan: pass → unverified ▼ security
- The attested source repository moved: gabrielmahia/decision-intelligence-mcp security
- Package version: 0.1.5 → 0.1.6 functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Nov 2026 · Analysed pypi/decision-intelligence-mcp@0.1.8
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | gabrielmahia/decision-intelligence-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/gabrielmahia/decision-intelligence-mcp/.github/workflows/publish.yml@refs/tags/v0.1.8 |
| Rekor log index | 3641919258 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:b3c3c66d2145a56a6955790b947ae035406a9629bd2f8e77bcbb41193f4a0ec3 |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 15 packages
| Packages resolved | 15 |
|---|---|
| Stale | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
apply_strategy Apply Strategy ~177
Apply a strategic lens (competition, leadership, intelligence, resources, operations or psychology) to a problem and return a framework of key questions drawn from public-domain military literature. Use when someone wants a structured way to think through a hard problem. An unrecognised lens uses the competition framework and lens_applied says so. commanders is accepted as a comma-separated list or all. Returns the problem, the lens, the framework, a source and a note. Analytical frameworks only, not operational recommendations; historical strategy needs contextual adaptation. Read-only.
| Name | Type | Req | Description |
|---|---|---|---|
| commanders | string | – | Comma-separated commanders to draw from (or 'all') |
| lens | string | – | Strategic lens: 'competition'|'leadership'|'intelligence'|'resources'|'operations'|'psychology' |
| problem | string | yes | Describe the strategic problem or challenge |
Structured output declared, but exposes no named fields.
No examples provided.
commander_doctrine Commander Doctrine ~131
Doctrine of a historical commander (napoleon, alexander, hannibal, genghis, shaka, caesar, sun_tzu, clausewitz or frederick) with principles and sources. Use when someone asks how a particular commander approached war or leadership. An unknown name returns an error listing the available commanders. Returns the doctrine and its public-domain source. Historical summaries, not operational guidance. Read-only.
| Name | Type | Req | Description |
|---|---|---|---|
| commander | string | – | Commander name: napoleon|alexander|hannibal|genghis|shaka|caesar|sun_tzu|clausewitz|frederick |
Structured output declared, but exposes no named fields.
No examples provided.
napoleon_maxims Napoleon Maxims ~163
Napoleon's Maxims of War (1831, public domain), by category (strategy, tactics, logistics, leadership, intelligence or all) or by number. Use when someone wants a maxim or a modern reading of one. maxim_number above 0 returns that maxim or an error if it does not exist; otherwise category filters, and an unrecognised category returns an empty list. Returns the commander, source, count and the maxims, each with a modern application. Read-only.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | Filter by category: 'strategy'|'tactics'|'logistics'|'leadership'|'intelligence'|'all' |
| maxim_number | integer | – | Get a specific maxim by number (1-115). 0 = return all. |
Structured output declared, but exposes no named fields.
No examples provided.
public_domain_library Public Domain Library ~111
Catalogue of public-domain works on strategy, philosophy, leadership and history, including African and Mongol sources, with author, date and themes. Use when someone asks what to read. domain filters the catalogue; an unrecognised domain returns an empty list. Returns the works and a note that all are public domain. A curated list, not a full library. Read-only.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | – | Domain: 'military'|'philosophy'|'leadership'|'history'|'all' |
Structured output declared, but exposes no named fields.
No examples provided.
sun_tzu Sun Tzu ~141
Chapters of Sun Tzu's The Art of War (13 chapters, public domain), or a search across verses for a concept such as deception, intelligence or terrain. Use when someone asks what Sun Tzu said about a topic. chapter above 0 returns that chapter or an error if it does not exist; concept searches the verse text for a match. Returns the chapter or the matching verses with chapter and verse numbers. Read-only.
| Name | Type | Req | Description |
|---|---|---|---|
| chapter | integer | – | Chapter number 1-13. 0 = all chapters. |
| concept | string | – | Search for a specific concept (e.g. 'deception', 'intelligence', 'terrain') |
Structured output declared, but exposes no named fields.
No examples provided.
How do I install the io.github.gabrielmahia/decision-intelligence-mcp server?
io.github.gabrielmahia/decision-intelligence-mcp runs locally as a PyPI package, launched with uvx decision-intelligence-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · decision-intelligence-mcp
claude mcp add gabrielmahia-decision-intelligence-mcp -- uvx decision-intelligence-mcp
What is the io.github.gabrielmahia/decision-intelligence-mcp server?
io.github.gabrielmahia/decision-intelligence-mcp is listed in the public MCP registry as io.github.gabrielmahia/decision-intelligence-mcp. Public-domain military strategy and philosophy texts as MCP tools: Sun Tzu, Napoleon and more. This page covers its PyPI package (decision-intelligence-mcp).
Is the io.github.gabrielmahia/decision-intelligence-mcp server safe to use?
io.github.gabrielmahia/decision-intelligence-mcp scores 95 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.gabrielmahia/decision-intelligence-mcp server expose?
io.github.gabrielmahia/decision-intelligence-mcp exposes 5 tools: napoleon_maxims, sun_tzu, commander_doctrine, apply_strategy, public_domain_library. Their descriptions and schemas cost roughly 723 tokens of context every time the server is loaded.
Is the io.github.gabrielmahia/decision-intelligence-mcp server still maintained?
io.github.gabrielmahia/decision-intelligence-mcp is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.gabrielmahia/decision-intelligence-mcp server under?
io.github.gabrielmahia/decision-intelligence-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.