ActTrace

<!-- mcp-name: io.github.goww7/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:

1. A deterministic risk classification of an AI feature under the EU AI Act.
2. A ready-to-ship Article 50 transparency notice.
3. 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

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/