io.github.gabrielmahia/decision-intelligence-mcp
PYPI · DECISION-INTELLIGENCE-MCP · SCANNED SEP 20
classical-strategy-mcp
Available components
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 native-build step with no shell scripting around it. View diagnostics → Pass
- 1 of 15 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency48
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 63 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability81
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 610 tokens (~122/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 Management83
- Stability observed for 25 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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
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
{
"mcpServers": {
"gabrielmahia-decision-intelligence-mcp": {
"command": "uvx",
"args": [
"decision-intelligence-mcp"
]
}
}
} {
"servers": {
"gabrielmahia-decision-intelligence-mcp": {
"command": "uvx",
"args": [
"decision-intelligence-mcp"
]
}
}
} codex mcp add gabrielmahia-decision-intelligence-mcp -- uvx decision-intelligence-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"gabrielmahia-decision-intelligence-mcp": {
"type": "local",
"command": [
"uvx",
"decision-intelligence-mcp"
],
"enabled": true
}
}
} openclaw mcp add gabrielmahia-decision-intelligence-mcp --command uvx --arg decision-intelligence-mcp
mcp_servers:
gabrielmahia-decision-intelligence-mcp:
command: "uvx"
args: ["decision-intelligence-mcp"] {
"McpServers": {
"gabrielmahia-decision-intelligence-mcp": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"decision-intelligence-mcp"
]
}
}
} assistant mcp add gabrielmahia-decision-intelligence-mcp -t stdio -c uvx -a decision-intelligence-mcp
{
"mcpServers": {
"gabrielmahia-decision-intelligence-mcp": {
"command": "uvx",
"args": [
"decision-intelligence-mcp"
]
}
}
} 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.
- 20 Sept 26 −2
- Stability: pass → 0.83 functional
- 19 Sept 26 0
- Stability: 0.97 → pass security
- 18 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 15 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- 14 Sept 26 −14
- Malware scan: pass → unverified ▼ security
- 13 Sept 26 −3
- Stability: pass → 0.80 functional
- 12 Sept 26 0
- Stability: 0.97 → pass security
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 20 Sept 2026 · Analysed pypi/decision-intelligence-mcp@0.1.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
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 ~104
Apply classical military principles to a modern strategic problem. Translates ancient military wisdom into business, technology, organizational, or geopolitical analysis. Specify the problem domain and the analytical lens.
| 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
Analyze a commander's signature tactical innovation — the battle doctrine that made them historically decisive. Covers: Napoleon (corps system, central position), Alexander (hammer and anvil), Hannibal (Cannae encirclement), Genghis Khan (feigned retreat + Mongol doctrine), Shaka Zulu (bull-horn formation), Caesar (fortification + speed), Frederick the Great (oblique order).
| 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 ~119
Get Napoleon Bonaparte's Military Maxims — 115 principles distilled from 20+ years of campaign experience. The most concentrated body of military wisdom from any commander in the modern era. Use for strategic planning, logistics, speed of decision, and concentration of force.
| 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 ~66
Get major works of military and strategic philosophy available in the public domain. Returns title, author, date, themes, and key insights for each work.
| 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 ~103
Get Sun Tzu's Art of War — 13 chapters on strategy, intelligence, deception, and the nature of conflict. The oldest continuously studied strategic text. Applies to competitive analysis, negotiation, organizational strategy, and any domain of structured competition.
| 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.
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. classical-strategy-mcp. 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 84 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. 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 523 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 20 September 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.