About ActTrace
ActTrace is an EU AI Act compliance API for non-financial SaaS and technology teams. It provides deterministic risk classifications and draft Article 50 transparency notices, with a free diagnostic; it is not legal advice or certification.
Key features
- 01Classify AI features under the EU AI Act
- 02Generate Article 50 transparency notices
- 03Run a free risk diagnostic
- 04Flag financial-services cases as out of scope
Use cases
- 01Assess the regulatory risk of an AI feature
- 02Draft a transparency notice for an AI system
- 03Screen a product feature before counsel review
MCP support
The MCP server exposes `acttrace_classify` and `acttrace_generate_transparency_notice` to MCP clients. Both use the API's `X-API-Key` authentication.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEActTrace
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/
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.