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io.github.RyanKramer/rankedtoday-mcp

PYPI · RANKEDTODAY-MCP · SCANNED SEP 21

League of Legends math for AI agents: MMR estimation, climb projections, KDA, hours. No API key.

Available components

+3 this week 60 Trust /100
Trust breakdown (7 categories)

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 Security50
  • Malware scan not yet available for this package.Unverified
  • 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 & Transparency32
Schema Quality & AI Usability63
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 588 tokens (~73/item across 8 items; 8 tools + 0 resources), lean.Pass
  • 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 Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • 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 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 9 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
Install

How do I install the io.github.RyanKramer/rankedtoday-mcp server?

io.github.RyanKramer/rankedtoday-mcp runs locally as a PyPI package, launched with uvx rankedtoday-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 · rankedtoday-mcp

# add to Claude Code
claude mcp add ryankramer-rankedtoday-mcp -- uvx rankedtoday-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "ryankramer-rankedtoday-mcp": {
      "command": "uvx",
      "args": [
        "rankedtoday-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "ryankramer-rankedtoday-mcp": {
      "command": "uvx",
      "args": [
        "rankedtoday-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add ryankramer-rankedtoday-mcp -- uvx rankedtoday-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ryankramer-rankedtoday-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "rankedtoday-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ryankramer-rankedtoday-mcp --command uvx --arg rankedtoday-mcp
# ~/.hermes/config.yaml
mcp_servers:
  ryankramer-rankedtoday-mcp:
    command: "uvx"
    args: ["rankedtoday-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "ryankramer-rankedtoday-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "rankedtoday-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add ryankramer-rankedtoday-mcp -t stdio -c uvx -a rankedtoday-mcp
// mcp.json
{
  "mcpServers": {
    "ryankramer-rankedtoday-mcp": {
      "command": "uvx",
      "args": [
        "rankedtoday-mcp"
      ]
    }
  }
}
Changelog

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 +1

    No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 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 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 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 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

  • 14 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

  • 12 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

  • 10 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

  • 7 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

  • 5 Sept 26 −14
    • Malware scan: pass → unverified security
Diagnostics

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 21 Sept 2026 · Analysed pypi/rankedtoday-mcp@0.1.0

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 →

MCP tools · 8 exposed · ~519 tokens

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 →

Tool Tokens
climb_calculator ~108

How many games a climb takes at a given winrate, or whether it runs backward. LP totals are cumulative: one division is 100 LP, one tier is 400 LP. So Gold IV 0 LP to Plat IV 0 LP is 400.

NameTypeReqDescription
current_lp_totalintegeryes
lp_per_lossinteger
lp_per_wininteger
target_lp_totalintegeryes
winrate_pctnumberyes

Structured output declared, but exposes no named fields.

No examples provided.

estimate_mmr ~97

Estimate where your MMR sits relative to your rank, from LP flow. Riot does not expose MMR and no site can read it. What MMR does leak is the exchange rate: when MMR matches rank, wins and losses move you roughly symmetrically. Asymmetry is the signal.

NameTypeReqDescription
current_rankstring
lp_gainintegeryes
lp_lossintegeryes

Structured output declared, but exposes no named fields.

No examples provided.

hardware_latency_budget ~94

Estimate how much of a reaction-test score is equipment rather than you. A reaction test measures the whole chain: the screen has to draw the stimulus and the input device has to report the response. Only the middle is you, and the rest is worth real milliseconds.

NameTypeReqDescription
is_touchscreenboolean
mouse_polling_hzinteger
refresh_hzinteger

Structured output declared, but exposes no named fields.

No examples provided.

hours_played ~68

Estimate lifetime hours from account level, with the math shown. Levels are earned almost entirely by finishing games, so level is the only signal that reflects a whole account history. Expect about 20% error.

NameTypeReqDescription
account_levelintegeryes
minutes_per_gameinteger

Structured output declared, but exposes no named fields.

No examples provided.

kda ~47

Calculate KDA with an honest, role-aware read.

NameTypeReqDescription
assistsintegeryes
deathsintegeryes
killsintegeryes
rolestring

Structured output declared, but exposes no named fields.

No examples provided.

rankedtoday_tools ~18

Free tools and cognitive tests on the web.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

readiness_reference ~31

What the research actually supports about cognition and gaming performance. Included because these numbers get misquoted constantly in both directions.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

season_countdown ~56

Days remaining until a ranked season boundary or any other date. Pass from_date (YYYY-MM-DD) to compute from a fixed day; otherwise uses today.

NameTypeReqDescription
from_datestring
target_datestringyes

Structured output declared, but exposes no named fields.

No examples provided.

Common questions

What is the io.github.RyanKramer/rankedtoday-mcp server?

io.github.RyanKramer/rankedtoday-mcp is listed in the public MCP registry as io.github.RyanKramer/rankedtoday-mcp. League of Legends math for AI agents: MMR estimation, climb projections, KDA, hours. No API key. This page covers its PyPI package (rankedtoday-mcp).

Is the io.github.RyanKramer/rankedtoday-mcp server safe to use?

io.github.RyanKramer/rankedtoday-mcp scores 60 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 21 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.RyanKramer/rankedtoday-mcp server expose?

io.github.RyanKramer/rankedtoday-mcp exposes 8 tools: estimate_mmr, hours_played, climb_calculator, kda, readiness_reference, and 3 more. Their descriptions and schemas cost roughly 519 tokens of context every time the server is loaded.

Is the io.github.RyanKramer/rankedtoday-mcp server still maintained?

io.github.RyanKramer/rankedtoday-mcp is still listed as active in the MCP registry. We last reached this channel on 21 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.