pl.piszczek/ai-economics
NPM · @MICHALPISZCZEK/AI-ECONOMICS-MCP · SCANNED SEP 24
12 calculators for AI cost, energy and agent verification. Free API, no key.
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 Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 96 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- 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 24 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability64
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1994 tokens (~166/item across 12 items; 12 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 Management87
- Stability observed for 26 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
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 12 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 12 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the pl.piszczek/ai-economics MCP server?
pl.piszczek/ai-economics runs locally as an npm package, launched with npx -y @michalpiszczek/ai-economics-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @michalpiszczek/ai-economics-mcp
claude mcp add pl-piszczek-ai-economics -- npx -y @michalpiszczek/ai-economics-mcp
{
"mcpServers": {
"pl-piszczek-ai-economics": {
"command": "npx",
"args": [
"-y",
"@michalpiszczek/ai-economics-mcp"
]
}
}
} {
"servers": {
"pl-piszczek-ai-economics": {
"command": "npx",
"args": [
"-y",
"@michalpiszczek/ai-economics-mcp"
]
}
}
} codex mcp add pl-piszczek-ai-economics -- npx -y @michalpiszczek/ai-economics-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"pl-piszczek-ai-economics": {
"type": "local",
"command": [
"npx",
"-y",
"@michalpiszczek/ai-economics-mcp"
],
"enabled": true
}
}
} openclaw mcp add pl-piszczek-ai-economics --command npx --arg -y --arg @michalpiszczek/ai-economics-mcp
mcp_servers:
pl-piszczek-ai-economics:
command: "npx"
args: ["-y", "@michalpiszczek/ai-economics-mcp"] {
"McpServers": {
"pl-piszczek-ai-economics": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"@michalpiszczek/ai-economics-mcp"
]
}
}
} assistant mcp add pl-piszczek-ai-economics -t stdio -c npx -a -y @michalpiszczek/ai-economics-mcp
{
"mcpServers": {
"pl-piszczek-ai-economics": {
"command": "npx",
"args": [
"-y",
"@michalpiszczek/ai-economics-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.
- 23 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 22 Sept 26 −3
- Stability: pass → 0.80 functional
- 21 Sept 26 0
- Stability: 0.97 → pass security
- 20 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.
- 18 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.
- 16 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 15 Sept 26 −3
- Stability: pass → 0.80 functional
- 14 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 24 Sept 2026 · Analysed npm/@michalpiszczek/ai-economics-mcp@1.0.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 96 packages
| Packages resolved | 96 |
|---|---|
| Stale | 31 |
| 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 →
agent_hour ~146
Agent-Hour Cost: Fully-loaded cost of one AI agent-hour: compute plus human verification, vs the human hour it replaces. All parameters optional — defaults mirror the interactive calculator at https://piszczek.pl/tools/agent-hour. The response includes result, formula, interpretation and a ready-to-quote cite_as sentence.
| Name | Type | Req | Description |
|---|---|---|---|
| human_rate | number | – | human $/h it replaces (default 60) |
| price | number | – | blended $/1M tokens (default 6) |
| review_min | number | – | human verification minutes per agent-hour (default 15) |
| tokens_m | number | – | Mtok consumed per agent-hour (default 1.5) |
No output schema declared.
No examples provided.
context_window ~134
Context Window: How many tokens is this content, does it fit the window, and what does carrying it cost per request? All parameters optional — defaults mirror the interactive calculator at https://piszczek.pl/tools/context-window. The response includes result, formula, interpretation and a ready-to-quote cite_as sentence.
| Name | Type | Req | Description |
|---|---|---|---|
| amount | number | – | quantity (default 50) |
| price | number | – | $ per 1M input tokens (default 3) |
| unit | string | – | words | pages | chars | loc (default pages) |
| window | number | – | context size in tokens (default 128000) |
No output schema declared.
No examples provided.
humanoid_energy ~156
Humanoid Energy Budget: How long can a humanoid robot run per charge? Splits the battery between actuation, inference and idle. All parameters optional — defaults mirror the interactive calculator at https://piszczek.pl/tools/humanoid-energy. The response includes result, formula, interpretation and a ready-to-quote cite_as sentence.
| Name | Type | Req | Description |
|---|---|---|---|
| actuation_w | number | – | W while moving (default 400) |
| battery_kwh | number | – | battery capacity kWh (default 2) |
| compute_w | number | – | inference W, always on (default 150) |
| duty | number | – | active duty cycle % (default 60) |
| idle_w | number | – | overhead W (default 40) |
No output schema declared.
No examples provided.
joules_per_verified_task ~194
Joules per Verified Task: Which model is most energy-efficient per task that actually passes verification? E = tokens × J/token ÷ pass rate — a lighter model with a lower pass rate can still win. All parameters optional — defaults mirror the interactive calculator at https://piszczek.pl/tools/joules-per-verified-task. The response includes result, formula, interpretation and a ready-to-quote cite_as sentence.
| Name | Type | Req | Description |
|---|---|---|---|
| ja | number | – | model A J/token (default 1) |
| jb | number | – | model B J/token (default 0.3) |
| pa | number | – | model A verified pass % (default 80) |
| pb | number | – | model B verified pass % (default 55) |
| ta | number | – | model A tokens/attempt (default 8000) |
| tb | number | – | model B tokens/attempt (default 15000) |
No output schema declared.
No examples provided.
llm_energy ~165
LLM Energy: How much electricity does an AI query use? Tokens → Wh, joules, dollars, CO₂ and real-world equivalents. All parameters optional — defaults mirror the interactive calculator at https://piszczek.pl/tools/llm-energy. The response includes result, formula, interpretation and a ready-to-quote cite_as sentence.
| Name | Type | Req | Description |
|---|---|---|---|
| gco2_kwh | number | – | gCO₂ per kWh (default 400) |
| j_per_token | number | – | joules per token (default 1) |
| queries | number | – | queries per day (default 1000) |
| tokens | number | – | tokens per query (default 1000) |
| usd_kwh | number | – | $ per kWh (default 0.15) |
No output schema declared.
No examples provided.
model_routing ~122
Model Routing Savings: How much does routing the routable share of a workload to a cheaper tier save per month and per year? All parameters optional — defaults mirror the interactive calculator at https://piszczek.pl/tools/model-routing. The response includes result, formula, interpretation and a ready-to-quote cite_as sentence.
| Name | Type | Req | Description |
|---|---|---|---|
| ratio | number | – | cheap tier price as % of flagship (default 20) |
| share | number | – | routable share % (default 60) |
| spend | number | – | monthly flagship spend $ (default 15849) |
No output schema declared.
No examples provided.
proof_adjusted_autonomy ~177
Proof-Adjusted Autonomy (PAA): How autonomous is an AI agent once proof is required? PAA = P(A) × P(C|A) × P(R|A,C) × P(T|A,C,R). Returns the honest percentage, the gap vs claimed autonomy and the single gate where +5pp pays most. All parameters optional — defaults mirror the interactive calculator at https://piszczek.pl/tools/proof-adjusted-autonomy. The response includes result, formula, interpretation and a ready-to-quote cite_as sentence.
| Name | Type | Req | Description |
|---|---|---|---|
| a | number | – | autonomous completion % (default 90) |
| c | number | – | complete evidence % (default 95) |
| r | number | – | independent validation % (default 80) |
| t | number | – | timeliness % (default 90) |
No output schema declared.
No examples provided.
proof_debt ~189
Proof Debt Accumulator: What does unverified AI work cost over time? Backlog, deferred-review premium and expected incident liability. All parameters optional — defaults mirror the interactive calculator at https://piszczek.pl/tools/proof-debt. The response includes result, formula, interpretation and a ready-to-quote cite_as sentence.
| Name | Type | Req | Description |
|---|---|---|---|
| incident_cost | number | – | $ per incident (default 25000) |
| incident_pct | number | – | incident %/unverified task (default 0.5) |
| late_mult | number | – | late-review multiplier (default 3) |
| tasks_week | number | – | tasks per week (default 224) |
| unverified | number | – | % shipped unverified (default 35) |
| verify_cost | number | – | $/task to verify now (default 15) |
| weeks | number | – | horizon in weeks (default 26) |
No output schema declared.
No examples provided.
revocation_exposure ~260
Revocation Exposure: How long does a revoked token keep working across gateways, caches and workers? Returns the worst-case exposure window, an A–F grade and the weakest enforcement point. All parameters optional — defaults mirror the interactive calculator at https://piszczek.pl/tools/revocation-exposure. The response includes result, formula, interpretation and a ready-to-quote cite_as sentence.
| Name | Type | Req | Description |
|---|---|---|---|
| batch | string | – | batch/worker enforcement (default 'off') — 'jwt' | 'intro' | 'poll:N' (seconds) | 'off' |
| edge | string | – | edge/CDN enforcement (default 'jwt') — 'jwt' | 'intro' | 'poll:N' (seconds) | 'off' |
| gw | string | – | API gateway enforcement (default 'intro') — 'jwt' | 'intro' | 'poll:N' (seconds) | 'off' |
| mesh | string | – | service-mesh enforcement (default 'jwt') — 'jwt' | 'intro' | 'poll:N' (seconds) | 'off' |
| rate | number | – | requests/min of one credential (default 60) |
| ttl | number | – | access-token TTL in seconds (default 3600) |
No output schema declared.
No examples provided.
token_burn ~147
Token Burn Meter: Org-wide token burn as money, kilowatt-hours, CO₂ and households powered — per day and per year. All parameters optional — defaults mirror the interactive calculator at https://piszczek.pl/tools/token-burn. The response includes result, formula, interpretation and a ready-to-quote cite_as sentence.
| Name | Type | Req | Description |
|---|---|---|---|
| gco2_kwh | number | – | gCO₂ per kWh (default 400) |
| j_per_token | number | – | joules per token (default 1) |
| price | number | – | blended $/1M tokens (default 4) |
| tokens_day | number | – | tokens per day (default 316000000) |
No output schema declared.
No examples provided.
token_cost ~129
AI Token Cost: What does a monthly token volume cost across GPT, Claude, Gemini and DeepSeek? Input/output priced separately, prompt-cache discount applied. Returns the ranked bill per model. All parameters optional — defaults mirror the interactive calculator at https://piszczek.pl/tools/token-cost. The response includes result, formula, interpretation and a ready-to-quote cite_as sentence.
| Name | Type | Req | Description |
|---|---|---|---|
| cache | number | – | prompt-cache hit % (default 40) |
| in | number | – | input Mtok/month (default 200) |
| out | number | – | output Mtok/month (default 20) |
No output schema declared.
No examples provided.
verification_bottleneck ~175
Verification Bottleneck: Agents generate in parallel, humans review in series. Computes the real agent-fleet ceiling from review capacity, minutes per task and rework rate. All parameters optional — defaults mirror the interactive calculator at https://piszczek.pl/tools/verification-bottleneck. The response includes result, formula, interpretation and a ready-to-quote cite_as sentence.
| Name | Type | Req | Description |
|---|---|---|---|
| agents | number | – | planned agents (default 10) |
| hours | number | – | review h/person/week (default 6) |
| min_per_task | number | – | review minutes per task (default 10) |
| reviewers | number | – | people reviewing (default 4) |
| rework | number | – | rework % (default 20) |
| tasks_per_agent | number | – | tasks per agent per week (default 60) |
No output schema declared.
No examples provided.
What is the pl.piszczek/ai-economics MCP server?
pl.piszczek/ai-economics is an MCP server listed in the public MCP registry as pl.piszczek/ai-economics. 12 calculators for AI cost, energy and agent verification. Free API, no key. This page covers its npm package (@michalpiszczek/ai-economics-mcp).
Is the pl.piszczek/ai-economics MCP server safe to use?
pl.piszczek/ai-economics scores 80 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 24 September 2026. It declares no install or post-install scripts. 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 pl.piszczek/ai-economics MCP server expose?
pl.piszczek/ai-economics exposes 12 tools: revocation_exposure, proof_adjusted_autonomy, token_cost, context_window, agent_hour, and 7 more. Their descriptions and schemas cost roughly 1,994 tokens of context every time the server is loaded.
Is the pl.piszczek/ai-economics MCP server still maintained?
pl.piszczek/ai-economics is still listed as active in the MCP registry. We last reached this channel on 24 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 pl.piszczek/ai-economics MCP server under?
pl.piszczek/ai-economics declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.