Animica

MCP server · PyPI · graded 2026-10-23Source linked

Animica chain data, free keyless AI inference, quantum randomness, x402 discovery, mining stats.

No outside reports on file

Animica is distributed via PyPI (animica-mcp); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

Local filesNo local folder access notedLOW
Command executionNo shell command runner notedLOW
Network reachLocal or standard API callsLOW
CredentialsNo API token requiredLOW
Package sourcePyPI (animica-mcp)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

uvx animica-mcp

All setup options ↓

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About Animica

Animica is an MCP server focused on Data & databases: Animica chain data, free keyless AI inference, quantum randomness, x402 discovery, mining stats.

It is published on PyPI as animica-mcp (66 PyPI downloads). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

These use the package this listing points to. Check the project’s own instructions before running anything.

PyPI command

uvx animica-mcp

PyPI (pip) command

pip install animica-mcp

MCP client config

For Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json).

json

{
  "mcpServers": {
    "animica-mcp": {
      "command": "uvx",
      "args": [
        "animica-mcp"
      ]
    }
  }
}

Why this grade

FF — Many risk signals

Signal-based grade (0/7 points): no public source code found. This reflects adoption and transparency, not a code review.

Popularity and upkeep

16/100

PyPI downloads: 66
Listing last refreshed: 2026-10-23

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Security reports

No reports found for this package in our research (last checked 2026-10-29).

Check a specific version →

Risks to watch for

Dependency & version pinning: Distributed via PyPI (animica-mcp). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

Check its activity history or logs weekly at first, and look at what it changed or sent.
Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

It asks for more access than its job requires, or prompts you to paste passwords.
It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install Animica?

Run uvx animica-mcp (or pip install animica-mcp) in your terminal, or add the server entry to your claude_desktop_config.json or .cursor/mcp.json as shown in the Setup section on this page.

Are there security reports about Animica?

No reports found for this package in our research (last checked 2026-10-29). Animica currently holds Grade F (Many risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.

Is Animica actively maintained?

Animica has 66 PyPI downloads. Our directory data was last refreshed on 2026-10-23. Check recent commit activity, release tags, and open issues before pinning it in production.

What are alternatives to Animica?

Compare Animica side by side with similar MCP servers in the Related tools section on this page, or browse all MCP servers on AgentArmorHQ.

Maintain or use Animica? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for Animica](https://agentarmorhq.com/api/badge/animica)](https://agentarmorhq.com/skills/animica)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/animica"><img src="https://agentarmorhq.com/api/badge/animica" alt="AgentArmorHQ Risk Grade for Animica" height="20" /></a>

Terminal check:

terminal

curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "animica"

Share with your security lead

Need sign-off to use Animica? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: Animica
- **Listing URL:** https://agentarmorhq.com/skills/animica
- **Type:** App connector
- **Risk Grade:** Grade F (Many risk signals)
- **Outside Security Advisories on File:** 0

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** PyPI (animica-mcp)

#### Recommended Hardened Setup
- **Command:** `uvx animica-mcp`
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: App connector
Install command: pip install animica-mcp
Est. context load: ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
Popularity: 66 PyPI downloads
Last updated: 2026-10-23
Last graded: 2026-10-23

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