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ai-workflows

MCP server · GitHub · ★ 2 · graded 2026-10-28Source linked

Claude Code plugins for the full feature lifecycle: idea → Value Increment → ARD → spec → design → Epics → implementation → docs → release notes, each gated by an Opus review. Tracks what every feature costs in $ by phase, role and model, and captures friction in-flight so the workflow keeps improving.

No outside reports on file

ai-workflows reads local files; restrict its folder reach, network access, and credentials before installing.

Based on public adoption and transparency signals as of Oct 28, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesReads local filesNOTED
  • Command executionNo shell command runner notedLOW
  • Network reachLocal or standard API callsLOW
  • CredentialsNo API token requiredLOW
  • Package sourceGitHub (ihudak/ai-workflows)PUBLIC

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

Install

No npm or PyPI package is listed. Install from source: github.com/ihudak/ai-workflows ↗

All setup options ↓

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About AI Workflows

AI Workflows is an MCP server focused on Developer tools and Files & documents: Claude Code plugins for the full feature lifecycle: idea → Value Increment → ARD → spec → design → Epics → implementation → docs → release notes, each gated by an Opus review. Tracks what every feature costs in $ by phase, role and model, and captures friction in-flight so the workflow keeps improving.

It is hosted on GitHub at ihudak/ai-workflows (2 GitHub stars). Based on its public metadata, its operational scope includes: reads local files.

Setup

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

No npm or PyPI package is listed for this MCP server. Source code and setup steps: github.com/ihudak/ai-workflows.

Why this grade

DD — High risk signals

Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

9/100
GitHub stars
2
Listing last refreshed
2026-10-28

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 2026-10-28).

Check a specific version →

Risks to watch for

  • Local file read access: Reads local documents or database files. Point it only at the specific files needed for the task so sensitive workspace files remain out of reach.
  • Dependency & version pinning: Distributed via GitHub (ihudak/ai-workflows). 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 AI Workflows?

AI Workflows does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/ihudak/ai-workflows.

Are there security reports about AI Workflows?

No reports found for this package in our research (last checked 2026-10-28). AI Workflows currently holds Grade D (High 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 AI Workflows actively maintained?

AI Workflows has 2 GitHub stars. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/ihudak/ai-workflows before pinning it in production.

What are alternatives to AI Workflows?

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

README badge and team notes

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

AgentArmorHQ Risk Grade D for AI Workflows

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for AI Workflows](https://agentarmorhq.com/api/badge/ihudak-ai-workflows)](https://agentarmorhq.com/skills/ihudak-ai-workflows)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/ihudak-ai-workflows"><img src="https://agentarmorhq.com/api/badge/ihudak-ai-workflows" alt="AgentArmorHQ Risk Grade for AI Workflows" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "ihudak-ai-workflows"

Share with your security lead

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

### AgentArmorHQ Security Review Memo: ai-workflows
- **Listing URL:** https://agentarmorhq.com/skills/ihudak-ai-workflows
- **Type:** App connector
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 2 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** Reads local files
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** GitHub (ihudak/ai-workflows)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/ihudak/ai-workflows
- **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 28, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
App connector
Publisher
ihudak
Source code
github.com/ihudak/ai-workflows
Est. context load
~950 tokens / turn (~5 tool schemas, 0.47% of 200k context)
Popularity
2 GitHub stars
Last updated
2026-10-28
Last graded
2026-10-28

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