Is AIquila — Nextcloud MCP Server safe to use?

AIquila — Nextcloud MCP Server has an HVTrust score of 81.8/100 (Grade A), ranked #123 of 1325 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for AIquila — Nextcloud MCP Server?

AIquila — Nextcloud MCP Server scores 81.8/100 on HVTracker's evidence-weighted HVTrust scale. It has 38 GitHub stars and is categorized under MCP Servers.

AIquila — Nextcloud MCP Server

elgorro/aiquila

Private AI for your Nextcloud — an MCP server (316 tools), a native Nextcloud app with chat and Coworkers, and one-command Hetzner deployment.

MCP Servers PHP Listed MIT

Is AIquila — Nextcloud MCP Server safe? Strong public trust posture, backed by multiple independent signals.

OSSF Scorecard 5.7 / 10

Provenance Attested

Signed commits 100%

Last push 4d ago

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In detail: AIquila — Nextcloud MCP Server scores 81.8/100 (Grade A), ranked #123 of 1325 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; OSSF Scorecard rates its supply-chain practices 5.7/10; 100% of recent commits are signed; last pushed 2026-09-22. Every point is earned from checkable signals — never paid placement. How scoring works →

How AIquila — Nextcloud MCP Server compares in MCP Servers

#55 Exa MCP Server 82.1 +0.3
#56 Imap MCP Server 81.8 ±0
#57 AIquila — Nextcloud MCP Server 81.8 this agent
#58 Delimit — API Governance for AI Coding Assistants 81.8 ±0
#59 Auth0 MCP Server 81.7 −0.1

Bars show each HVTrust score; the tick marks AIquila — Nextcloud MCP Server’s 81.8.

Where the 81.8 comes from

HVTrust dimensions vs the MCP Servers average

81.8 / 100 · 100.0% confidence

AIquila — Nextcloud MCP Server MCP Servers average (775 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits

19.6 / 25

9.3 above avg 10.3

Identity / Provenance60% listing status · 40% build provenance

18.0 / 18

4.6 above avg 13.4

Transparency50% declared license · 50% OSSF Scorecard

13.3 / 17

1.1 above avg 12.2

Maintenance60% last-push freshness · 40% commit activity

17.8 / 20

5.7 above avg 12.1

AdoptionLog-scaled stars · package downloads

7.6 / 20

in line with avg 7.2

Quick Trust Read

What Would Improve It

Improve adoption to lift the weakest part of the trust profile.

Recent Changes

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependencies: Anthropic, Mistral AI

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

2026-09-23

Provenance Added

Package provenance attestation detected

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 5.7/10. Tighten the weakest checks to improve public safety evidence.

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58.2

Activity sub-score · out of 100

#57

In MCP Servers

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade A reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →

Rank Trend

2026-08-11 2026-09-26

Activity & Reach

Stars

Forks

Last Push

2026-09-22

4 days ago

Commits (4 wk)

Downloads (7d)

738

npm

HN mentions (30d)

—

Open Issues

Rank Change

▼1

was #122

Analysis

Activity Inputs

58.2 / 100

StarsRepository reach

9.5 / 30

FreshnessLast push recency

24.4 / 25

ActivityRecent commits

18.9 / 25

CommunityFork signal

5.2 / 20

Supply Chain Trust

Package Provenance

Verified

npm attestation

OSSF Scorecard

5.7 / 10

OpenSSF Scorecard · scanned Sep 16, 2026

Signed Commits

100%

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 8

CI-Tests 10

CII-Best-Practices 0

Code-Review 0

Contributors 3

Dangerous-Workflow 10

Dependency-Update-Tool 10

Fuzzing 0

License 10

Maintained 10

Packaging 10

Pinned-Dependencies 2

SAST 0

Security-Policy 0

Signed-Releases 4

Token-Permissions 0

Vulnerabilities 9

Common questions about AIquila — Nextcloud MCP Server

Public supply-chain signals for AIquila — Nextcloud MCP Server are strong: it has multiple independent trust indicators in place. This does not replace your own security review, but AIquila — Nextcloud MCP Server carries less obvious unverified-evidence risk than projects with thin signals.

Does AIquila — Nextcloud MCP Server publish package provenance?

Yes. AIquila — Nextcloud MCP Server's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.

Does AIquila — Nextcloud MCP Server have an OpenSSF Scorecard?

AIquila — Nextcloud MCP Server has an OpenSSF Scorecard score of 5.7/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.

Is AIquila — Nextcloud MCP Server actively maintained?

Actively maintained. The repository was pushed to within the last 4 day(s).

What license does AIquila — Nextcloud MCP Server use?

AIquila — Nextcloud MCP Server ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Are AIquila — Nextcloud MCP Server's commits signed?

100% of the last 100 commits to AIquila — Nextcloud MCP Server are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

AI agent surface

MCP, providers, tool surface

Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support

high confidence

Implemented

AIquila — Nextcloud MCP Server appears to expose MCP server capabilities.

Detailed evidence is not shown in the public view.

External Service Dependencies

high confidence

2 detected

Public provider/service dependencies detected.

Credential signal: No explicit API-key/config marker detected.

Tool / Plugin Surface

None detected

No clear plugin system or broad tool surface detected.

Detailed evidence is not shown in the public view.

Package Provenance Drift

high confidence

Match

Published package metadata matches the tracked repo

Detailed evidence is not shown in the public view.

MCP signal live
External deps live
Tool / plugin surface live
Package provenance drift live

How this surface has changed

Detected changes to AIquila — Nextcloud MCP Server's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependencies: Anthropic, Mistral AI

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

2026-09-23

Provenance Added

Package provenance attestation detected

Maintain AIquila — Nextcloud MCP Server?

For maintainers

HVTrust scores AIquila — Nextcloud MCP Server from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependencies: Anthropic, Mistral AI

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

2026-09-23

Provenance Added

Package provenance attestation detected

2026-09-23

Grade Changed

Trust grade D → A

2026-09-23

Rank Moved

Rank rose 645 spots (#764 → #119)

2026-09-23

HVTrust Changed

HVTrust up 52.5pts (29.7 → 82.2)

2026-09-22

Newly Listed

First tracked at rank #764

2026-09-21

Removed From Active Tracking

Removed from active tracking

2026-09-16

Grade Changed

Trust grade B → A

2026-09-16

Rank Moved

Rank rose 16 spots (#145 → #129)

2026-09-10

Grade Changed

Trust grade A → B

2026-09-08

Grade Changed

Trust grade C → A

2026-09-08

Rank Moved

Rank rose 678 spots (#803 → #125)

2026-09-08

HVTrust Changed

HVTrust up 27.3pts (53.0 → 80.3)

2026-09-07

Rank Moved

Rank dropped 30 spots (#773 → #803)

2026-09-06

Rank Moved

Rank dropped 13 spots (#760 → #773)

2026-09-05

Rank Moved

Rank dropped 68 spots (#692 → #760)

2026-09-04

Rank Moved

Rank dropped 23 spots (#669 → #692)

2026-09-03

Rank Moved

Rank dropped 38 spots (#631 → #669)

2026-09-01

Rank Moved

Rank dropped 22 spots (#612 → #634)

2026-08-31

Rank Moved

Rank dropped 31 spots (#581 → #612)

2026-08-29

Rank Moved

Rank dropped 35 spots (#545 → #580)

2026-08-28

Rank Moved

Rank dropped 10 spots (#535 → #545)

2026-08-27

Scorecard Added

OSSF Scorecard: 5.7/10

2026-08-27

Grade Changed

Trust grade D → C

2026-08-27

Rank Moved

Rank rose 124 spots (#659 → #535)

2026-08-27

HVTrust Changed

HVTrust up 7.8pts (43.8 → 51.6)

2026-08-26

Rank Moved

Rank dropped 99 spots (#560 → #659)

2026-08-11

Activity Score Changed

Activity score up 5pts (47 → 52)

2026-08-10

Rank Moved

Rank dropped 21 spots (#553 → #574)

2026-08-08

Newly Listed

First tracked at rank #550

GitHub → npm: aiquila-mcp

Embed Badge Badge guide for maintainers →

For maintainers

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Other agents in MCP Servers

Data sources
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON