Animica

PYPI · ANIMICA-MCP

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

Available components

pypi · animica-mcp 60

+28 this week 60 60 Trust /100

Last scanned 4 Nov 2026 (21 hours ago)

Scores higher than 57% of PyPI servers

Category Crypto and Web3

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 Security75

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 build step with no custom scripting around it. View diagnostics → Pass
6 of 149 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 (Apache-2.0).Pass
Actively maintained (last published 70 days ago).Pass
Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified

Schema Quality & AI Usability63

AI-judged instruction clarity (good).Pass
Tool/resource definitions use about 1287 tokens (~47/item across 27 items; 27 tools + 0 resources), lean.Pass
Usage-examples check failed: none of the tools include examples. See how to fix → Fail

Stability & Change Management7

Stability observed for 2 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 27 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
An AI judge read all 28 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

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.

4 Nov 26 +1

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.
2 Nov 26 +27
- Injection markers: unverified → pass ▲ security
- First check of Judged manipulation: pass security
- Tool coverage: unverified → 100 ▲ functional
- Stability: unverified → 0.00 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- First check of Tool coverage: 0 functional
- First check of Schema quality: fail functional
- First check of Destructive annotations: pass functional
- First check of Schema quality: pass functional
- First check of Schema quality: good functional
- First check of Tool coverage: 100 functional
24 Oct 26 +2
- Dependency health: partial → 0.98 functional
23 Oct 26 −2
- Dependency health: 0.98 → partial functional
13 Oct 26 0
- Dependency health: partial → 0.98 functional
12 Oct 26 0
- Dependency health: 0.99 → partial functional
3 Oct 26 +3
- Dependency health: partial → 0.99 functional
2 Oct 26 −3
- Dependency health: 0.99 → partial functional

Show 6 earlier entries Hide earlier entries

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 4 Nov 2026 · Analysed pypi/animica-mcp@0.2.2

Provenance No attestation

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

Result	No attestation
Ecosystem	pypi
Reason	No attestation published

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 25 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
GHSA-x9r9-c232-4q39	CVE-2026-80047	high	CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H	no
GHSA-xrqw-3rrv-vx5w	CVE-2026-9856	high	CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:L	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
PYSEC-2026-3929	CVE-2026-9856	high	CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:L	yes
PYSEC-2026-4174	CVE-2026-80047	high	CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H	no

Background: What a vulnerability scan can and cannot prove →

Dependencies 149 packages

Packages resolved	149
Stale	5
No linked repository	1
Tree resolution	Complete

Background: SBOMs and build attestations, explained →

MCP tools · 27 exposed · ~1,184 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

animica_adapter_preview ~41

Check what a small model could learn from an API: free coverage report, no signup.

Input Output Examples

Name	Type	Req	Description
spec	–	–	–
spec_url	string	–	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_agent_index ~70

PAID (~$0.006): search the agent-payable web — OUR index, not a reseller's.

Input Output Examples

Name	Type	Req	Description
callable_only	boolean	–	–
credits	string	–	–
limit	integer	–	–
max_price	number	–	–
query	string	yes	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_ai_ask ~65

Ask Animica's ENA AI a question (OpenAI-compatible inference). Cheap general

Input Output Examples

Name	Type	Req	Description
max_tokens	integer	–	–
model	string	–	–
prompt	string	yes	–
system	string	–	–
temperature	number	–	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_ai_job_status ~38

Read the status of an ENA AI request/job by id (read-only). Returns the

Input Output Examples

Name	Type	Req	Description
job_id	string	yes	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_ai_models ~24

List the AI models available on Animica's OpenAI-compatible API.

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_chain_account ~35

READ-ONLY account snapshot for an ``anim1...`` address: balance + nonce.

Input Output Examples

Name	Type	Req	Description
address	string	yes	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_chain_block ~45

Read a block by ``height`` or by ``hash`` (read-only). With neither, reads

Input Output Examples

Name	Type	Req	Description
hash	string	–	–
height	integer	–	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_chain_head ~25

Read the chain head: current height/hash and chain id. Read-only.

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_credit_balance ~31

FREE: balance, expiry and spend history for a prepaid credit token.

Input Output Examples

Name	Type	Req	Description
credits	string	–	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_embed ~49

PAID (~$0.005 per BATCH): embed up to 256 texts in one call (384-dim).

Input Output Examples

Name	Type	Req	Description
credits	string	–	–
texts_json	string	yes	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_info ~28

What Animica is and how to use it: the OpenAI-compatible AI API, the

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_network_hashrate ~25

Read the current network hashrate from the chain. Read-only.

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_notarize ~54

PAID (~$0.006): anchor a SHA-256 digest on-chain with a verifiable proof.

Input Output Examples

Name	Type	Req	Description
credits	string	–	–
digest	string	yes	–
memo	string	–	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_pool_stats ~26

Live mining-pool stats: pool status plus active miner count. Read-only.

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_pq_verify ~85

PAID (~$0.005): verify a post-quantum signature (ML-DSA-65 / Dilithium3 / SPHINCS+).

Input Output Examples

Name	Type	Req	Description
alg_id	integer	yes	–
credits	string	–	–
message_hex	string	yes	–
public_key_hex	string	yes	–
signature_hex	string	yes	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_qdna_verify_gene ~36

Verify a qDNA training-genome gene seal: recompute its content-address

Input Output Examples

Name	Type	Req	Description
gene_json	string	yes	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_quantum_beacon_latest ~27

Get the latest round of Animica's verifiable quantum randomness beacon

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_quantum_draw ~63

Compute a verifiable quantum-random draw off a beacon round.

Input Output Examples

Name	Type	Req	Description
beacon_hex	string	–	–
kind	string	yes	–
params_json	string	–	–
request_id	string	yes	–
round_id	integer	–	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_quantum_verify ~35

Verify a quantum-random draw client-side: recompute it from its declared

Input Output Examples

Name	Type	Req	Description
result_json	string	yes	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_studio_estimate ~49

Estimate the ANM cost of an Animica Studio run BEFORE paying

Input Output Examples

Name	Type	Req	Description
gpu	boolean	–	–
mem_gb	number	–	–
seconds	number	–	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_studio_functions ~28

List functions deployed to Animica Studio (aicf.fn.list). Read-only.

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_web_ask ~52

PAID (~$0.007): answer a question about ONE web page, WITH its sources.

Input Output Examples

Name	Type	Req	Description
credits	string	–	–
question	string	yes	–
url	string	yes	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_web_contents ~57

PAID (~$0.007 per BATCH): up to 10 URLs in, readable text of each out.

Input Output Examples

Name	Type	Req	Description
credits	string	–	–
max_chars	integer	–	–
urls_json	string	yes	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_web_fetch ~56

PAID (~$0.005, or free with a credit token): fetch a public web page as clean text.

Input Output Examples

Name	Type	Req	Description
credits	string	–	–
max_chars	integer	–	–
url	string	yes	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_web_research ~61

PAID (~$0.020): search the web AND read the top pages, in one call.

Input Output Examples

Name	Type	Req	Description
credits	string	–	–
max_chars	integer	–	–
pages	integer	–	–
query	string	yes	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_web_search ~48

PAID (~$0.010): search the live web and get ranked results.

Input Output Examples

Name	Type	Req	Description
credits	string	–	–
limit	integer	–	–
query	string	yes	–

Name	Type	Req	Description
result	string	yes	–

No examples provided.

animica_x402_products ~31

Discover Animica's pay-per-request x402 APIs (USDC on Base): price, availability.

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	string	yes	–

No examples provided.

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

Client

Showing Claude. Snippets for every client (markdown)

# add to Claude Code

claude mcp add org-animica-animica -- uvx animica-mcp

Common questions

What is the Animica MCP server?

Animica is an MCP server listed in the public MCP registry as org.animica/animica. Animica chain data, free keyless AI inference, quantum randomness, x402 discovery, mining stats. This page covers its PyPI package (animica-mcp).

Is the Animica MCP server safe to use?

Animica scores 60 out of 100 on VerifyMCP. We recorded 25 known advisories against it as of 4 November 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 Animica MCP server expose?

Animica exposes 27 tools: animica_info, animica_ai_ask, animica_ai_models, animica_ai_job_status, animica_quantum_beacon_latest, and 22 more. Their descriptions and schemas cost roughly 1,184 tokens of context every time the server is loaded.

Is the Animica MCP server still maintained?

Animica is still listed as active in the MCP registry. We last reached this channel on 4 November 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 Animica MCP server under?

Animica declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

On this page

Handy links

Scoring key

80+ high trust
60–79 medium
below 60 low

How we score

Badge

Put this score in your README. The image is served from a stable URL, updates when the score does, and links back to the evidence on this page. It shows nothing that is not already published here.

Score Verified Plain

The two-cell badge: our name, and this channel's current score out of 100.

Markdown

 [![VerifyMCP trust score for Animica](https://verifymcp.io/badge/org-animica-animica/animica-mcp.svg)](https://verifymcp.io/servers/org-animica-animica/animica-mcp)

HTML

 <a href="https://verifymcp.io/servers/org-animica-animica/animica-mcp"><img src="https://verifymcp.io/badge/org-animica-animica/animica-mcp.svg" alt="VerifyMCP trust score for Animica" height="20"></a>

A single cell stating that the server is listed here. Carries no number.

Markdown

 [![VerifyMCP trust score for Animica](https://verifymcp.io/badge/org-animica-animica/animica-mcp.svg?variant=verified)](https://verifymcp.io/servers/org-animica-animica/animica-mcp)

HTML

 <a href="https://verifymcp.io/servers/org-animica-animica/animica-mcp"><img src="https://verifymcp.io/badge/org-animica-animica/animica-mcp.svg?variant=verified" alt="VerifyMCP trust score for Animica" height="20"></a>

The score alone, tier-coloured, for a badge row that is already crowded.

Markdown

 [![VerifyMCP trust score for Animica](https://verifymcp.io/badge/org-animica-animica/animica-mcp.svg?variant=plain)](https://verifymcp.io/servers/org-animica-animica/animica-mcp)

HTML

 <a href="https://verifymcp.io/servers/org-animica-animica/animica-mcp"><img src="https://verifymcp.io/badge/org-animica-animica/animica-mcp.svg?variant=plain" alt="VerifyMCP trust score for Animica" height="20"></a>

Score history · last 30 days

12 Oct 4 Nov

Trust score by day, last 30 days
Day	Score
12 Oct	32
13 Oct	32
14 Oct	32
15 Oct	32
16 Oct	32
17 Oct	32
18 Oct	32
19 Oct	32
20 Oct	32
21 Oct	32
22 Oct	32
23 Oct	30
24 Oct	32
25 Oct	32
26 Oct	32
27 Oct	32
28 Oct	32
29 Oct	32
30 Oct	32
31 Oct	32
1 Nov	32
2 Nov	59
3 Nov	59
4 Nov	60