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io.github.zazencodes/random-number-mcp

PYPI · RANDOM-NUMBER-MCP · SCANNED SEP 20

Essential random number generation utilities from the Python standard library

Available components

0 this week 0 Trust /100

Recent critical change

CVE-2026-32871 affects this package (30 Jul 2026). See the changelog before you install this server.

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 Security25
Provenance & Transparency45
Schema Quality & AI Usability69
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 427 tokens (~61/item across 7 items; 7 tools + 0 resources), lean.Pass
  • 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 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 7 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 7 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
Install

How do I install the io.github.zazencodes/random-number-mcp server?

io.github.zazencodes/random-number-mcp runs locally as a PyPI package, launched with uvx random-number-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 · random-number-mcp

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

  • 18 Sept 26 0
    • Stability: pass → 0.80 functional
  • 17 Sept 26 0
    • Stability: 0.97 → pass security
  • 15 Sept 26 0
    • Security disclosure: unverified → fail functional
  • 14 Sept 26 0
    • Malware scan: pass → unverified security
    • Security disclosure: fail → unverified functional
  • 11 Sept 26 0
    • Malware scan: unverified → pass security
    • Stability: pass → 0.80 functional
  • 10 Sept 26 0
    • Stability: 0.97 → pass security
  • 9 Sept 26 0
    • Malware scan: pass → unverified security
  • 8 Sept 26 0
    • Security disclosure: unverified → fail functional
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 20 Sept 2026 · Analysed pypi/random-number-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 →

Vulnerabilities 6 findings
ID CVE Severity Vector Fix available
GHSA-m8x7-r2rg-vh5g CVE-2025-64340 medium CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H yes
GHSA-rww4-4w9c-7733 CVE-2026-27124 high yes
GHSA-vv7q-7jx5-f767 CVE-2026-32871 critical CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H yes
PYSEC-2026-2475 CVE-2025-64340 medium CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H yes
PYSEC-2026-2476 CVE-2026-27124 none yes
PYSEC-2026-338 CVE-2026-32871 critical CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H yes

Background: What a vulnerability scan can and cannot prove →

Dependencies 75 packages
Packages resolved 75
Stale 5
No linked repository 3
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 7 exposed · ~427 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
random_choices ~87

Choose k items from population with replacement, optionally weighted. Args: population: List of items to choose from k: Number of items to choose (default 1) weights: Optional weights for each item (default None for equal weights) Returns: List of k chosen items

NameTypeReqDescription
kinteger
populationarrayyes
weights
NameTypeReqDescription
resultarrayyes

No examples provided.

random_float ~67

Generate a random float between low and high. Args: low: Lower bound (default 0.0) high: Upper bound (default 1.0) Returns: Random float between low and high

NameTypeReqDescription
highnumber
lownumber
NameTypeReqDescription
resultnumberyes

No examples provided.

random_int ~61

Generate a random integer between low and high (inclusive). Args: low: Lower bound (inclusive) high: Upper bound (inclusive) Returns: Random integer between low and high

NameTypeReqDescription
highintegeryes
lowintegeryes
NameTypeReqDescription
resultintegeryes

No examples provided.

random_sample ~62

Choose k unique items from population without replacement. Args: population: List of items to choose from k: Number of items to choose Returns: List of k unique chosen items

NameTypeReqDescription
kintegeryes
populationarrayyes
NameTypeReqDescription
resultarrayyes

No examples provided.

random_shuffle ~47

Return a new list with items in random order. Args: items: List of items to shuffle Returns: New list with items in random order

NameTypeReqDescription
itemsarrayyes
NameTypeReqDescription
resultarrayyes

No examples provided.

secure_random_int ~50

Generate a secure random integer below upper_bound. Args: upper_bound: Upper bound (exclusive) Returns: Random integer in range [0, upper_bound)

NameTypeReqDescription
upper_boundintegeryes
NameTypeReqDescription
resultintegeryes

No examples provided.

secure_token_hex ~53

Generate a secure random hex token. Args: nbytes: Number of random bytes to generate (default 32) Returns: Hex string containing 2*nbytes characters

NameTypeReqDescription
nbytesinteger
NameTypeReqDescription
resultstringyes

No examples provided.

Common questions

What is the io.github.zazencodes/random-number-mcp server?

io.github.zazencodes/random-number-mcp is listed in the public MCP registry as io.github.zazencodes/random-number-mcp. Essential random number generation utilities from the Python standard library. This page covers its PyPI package (random-number-mcp).

What tools does the io.github.zazencodes/random-number-mcp server expose?

io.github.zazencodes/random-number-mcp exposes 7 tools: random_int, random_float, random_choices, random_shuffle, random_sample, and 2 more. Their descriptions and schemas cost roughly 427 tokens of context every time the server is loaded.

Is the io.github.zazencodes/random-number-mcp server still maintained?

io.github.zazencodes/random-number-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.zazencodes/random-number-mcp server under?

io.github.zazencodes/random-number-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.