ActTrace

Name: ActTrace
Author: goww7

by goww7version 0.1.0i★ –iRuns on your computer

Registry nameio.github.goww7/acttrace

Install

Overview

Description from the maker (original English)

Classify AI systems under the EU AI Act and generate Article 50 transparency notices.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add acttrace -- uvx acttrace-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "acttrace": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "acttrace-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account goww7, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32466 servers in this category
Published to the registry more recently than 9% of the other 32466 servers in this category
Basic checks equal to or better than 100% of the other 32466 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is ActTrace safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, HotCodePush

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

ActTrace

A developer-facing EU AI Act compliance API for non-financial SaaS and technology companies. ActTrace gives an engineering team three things, self-serve, over an API or via MCP:

A deterministic risk classification of an AI feature under the EU AI Act.
A ready-to-ship Article 50 transparency notice.
A free diagnostic as the public entry point.

Not legal advice. ActTrace provides operational compliance workflow

support and documentation drafts. It does not provide legal advice, does not

certify compliance, and does not replace review by qualified counsel. Every

response carries this disclaimer.

ActTrace is scoped for non-financial companies. Financial-services use cases (banking, trading, portfolio/investment advice, credit scoring, …) are deliberately classified out_of_scope_financial_services.

Install — Claude Code plugin / MCP server

ActTrace ships as a Claude Code plugin: an acttrace skill plus a local MCP server. The MCP server runs via uvx — a deterministic rules engine, offline, no API key.

/plugin marketplace add goww7/acttrace

/plugin install acttrace@acttrace

Then ask Claude *"Is my chatbot EU AI Act compliant?"* or *"Write an Article 50 notice for our support assistant."* The MCP server also runs standalone with any MCP client: uvx acttrace-mcp.

Quickstart

python3 -m venv .venv && .venv/bin/pip install -r requirements.txt

.venv/bin/uvicorn acttrace.app:app --reload --port 8080

# 1. Free diagnostic — no key needed

curl -s localhost:8080/api/acttrace/diagnostics/free -H 'content-type: application/json' -d '{ "feature_name": "AI reply assistant", "description": "Drafts suggested customer support replies for agents.", "user_facing": true, "model_provider": "OpenAI", "use_case": "support_assist" }'

2. Mint an API key

KEY=$(curl -s -XPOST localhost:8080/api/keys/generate | python3 -c 'import sys,json;print(json.load(sys.stdin)["api_key"])')

3. Classify (15 tokens)

curl -s localhost:8080/api/acttrace/classify -H "X-API-Key: $KEY" -H 'content-type: application/json' -d '{ "feature_name": "AI reply assistant", "description": "Drafts customer support replies shown to agents.", "use_case": "support_assist", "user_facing": true, "model_provider": "OpenAI" }'

4. Generate an Article 50 notice (10 tokens)

curl -s localhost:8080/api/acttrace/notices -H "X-API-Key: $KEY" -H 'content-type: application/json' -d '{ "ai_system_name": "Support Copilot", "notice_type": "chatbot", "tone": "plain" }'

Endpoints

Method & path	Auth	Tokens	Purpose
`POST /api/acttrace/diagnostics/free`	none	0	Public risk diagnostic
`POST /api/acttrace/classify`	key	15	Documented risk classification
`POST /api/acttrace/notices`	key	10	Article 50 transparency notice
`POST /api/keys/generate`	none	0	Issue a free-plan key
`GET /api/health`	none	0	Liveness

Auth is X-API-Key. Responses carry X-Request-ID, X-Plan, X-Tokens-Charged, X-Tokens-Remaining, X-RateLimit-*. Errors are structured {"code","message","detail"} (401/403/429).

MCP

python -m acttrace.mcp_server --sse --port 8002 exposes two tools — acttrace_classify and acttrace_generate_transparency_notice — authenticated with the same X-API-Key. A Claude Code skill is in skill/acttrace/.

Tests

.venv/bin/python -m pytest -q

54 tests: classification engine (7 acceptance fixtures), conflict guard, notice generator, and HTTP API contract.

Deploy

docker-compose.yml builds a standalone two-container stack (API + MCP) on ports 8080 / 8002 with its own volume — isolated from FinanceData2. To go live, append caddy-acttrace.snippet to the shared Caddyfile (replace the placeholder domain). See BLUEPRINT.md for the full build contract.

Layout

acttrace/

app.py config.py dependencies.py middleware/ api_key_auth.py routers/ acttrace.py keys.py services/ acttrace_service.py acttrace_classification_service.py acttrace_notice_service.py acttrace_constants.py api_key_service.py repositories/ acttrace_repository.py api_key_repository.py schemas/ acttrace.py mcp_server/ server.py main.py context.py tools/acttrace.py skill/acttrace/ SKILL.md README.md tests/

ActTrace

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

HotCodePush

README from the maker

ActTrace

Install — Claude Code plugin / MCP server

Quickstart

2. Mint an API key

3. Classify (15 tokens)

4. Generate an Article 50 notice (10 tokens)

Endpoints

MCP

Tests

Deploy

Layout