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Animica

PYPI · ANIMICA-MCP · SCANNED AUG 23

Read-only Animica chain data, free AI inference, verifiable quantum randomness, and mining stats.

Available components

0 this week 28 Trust /100
Trust breakdown (6 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 →

Supply Chain Security71
  • No malware found by supply-chain analysis.Pass
  • A critical CVE affects starlette, and no fixed version has been published yet. View diagnostics → Fail
  • Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • Dependency health was assessed across the 147 of 206 dependencies we could resolve, so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency32
Schema Quality & AI Usability0
  • Schema quality not yet verified: this package could not be installed in a clean environment, so we have no schema to assess.Unverified
Stability & Change Management0
  • Stability not yet verified: this package could not be installed in a clean environment, so we have no schema to compare.Unverified
Tool Coverage0
  • Tool coverage not yet verified: this package could not be installed in a clean environment, so we have no tool definitions to assess.Unverified
Capabilities0
  • Protocol version not yet verified: this package could not be installed in a clean environment, so we never saw its MCP handshake.Unverified

Unverified: 4 categories

Categories scored 0 because our sandbox run of this package has not given us the schema these checks need to read. That is a gap on our side rather than a finding about the package, and we only credit what we can confirm, so the score stands at 0 until the capture succeeds. We are working through the fleet, so this normally clears without any action from you. How we score packages →

Install

How do I install the Animica MCP server?

Animica runs locally as a PyPI package, launched with uvx animica-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 · animica-mcp

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

  • 23 Aug 26 +5
    • Source repository: fail → pass security
  • 22 Aug 26 −5
    • Source repository: pass → fail security
  • 14 Aug 26 28

    First indexed and scored.

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 23 Aug 2026 · Analysed pypi/animica-mcp@0.2.0

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi
Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build
Vulnerabilities 21 findings
ID CVE Severity Vector Fix available
GHSA-2c2j-9gv5-cj73 CVE-2025-54121 medium CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L yes
GHSA-7f5h-v6xp-fcq8 CVE-2025-62727 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes
GHSA-82w8-qh3p-5jfq CVE-2026-54283 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes
GHSA-86qp-5c8j-p5mr CVE-2026-48710 medium CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N yes
GHSA-jp82-jpqv-5vv3 CVE-2026-54282 low CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N yes
GHSA-wqp7-x3pw-xc5r CVE-2026-48818 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N yes
GHSA-x746-7m8f-x49c CVE-2026-48817 medium CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N yes
PYSEC-2026-161 CVE-2026-48710 none yes
PYSEC-2026-1941 CVE-2025-54121 medium CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L yes
PYSEC-2026-1942 CVE-2025-62727 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes
PYSEC-2026-2280 CVE-2026-48817 medium CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N yes
PYSEC-2026-2281 CVE-2026-48818 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N yes
PYSEC-2026-248 CVE-2026-54282 medium CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N yes
PYSEC-2026-249 CVE-2026-54283 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes
GHSA-29pf-2h5f-8g72 CVE-2026-4372 high CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H yes
GHSA-69w3-r845-3855 CVE-2026-1839 medium CVSS:3.0/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:L/A:H yes
GHSA-fgcw-684q-jj6r CVE-2026-5241 high CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:N yes
PYSEC-2025-217 CVE-2025-14929 high CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H no
PYSEC-2026-2288 CVE-2026-1839 high CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H yes
PYSEC-2026-2289 CVE-2026-4372 high CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H yes
PYSEC-2026-2290 CVE-2026-5241 critical CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H no
Dependencies 147 packages
Packages resolved 147
Stale 5
Tree resolution Partial

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools

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.

Tools for package channels are captured by running the package in an isolated sandbox. The most recent sandbox run could not capture a tool list from this package.

Common questions

What is the Animica MCP server?

Animica is an MCP server listed in the public MCP registry as org.animica/animica. Read-only Animica chain data, free AI inference, verifiable quantum randomness, and mining stats. This page covers its PyPI package (animica-mcp).

Is the Animica MCP server safe to use?

Animica scores 28 out of 100 on VerifyMCP. We recorded 21 known advisories against it as of 23 August 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.

Is the Animica MCP server still maintained?

Animica is still listed as active in the MCP registry. We last reached this channel on 23 August 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.