ComplyEdge

EU AI Act Article 5 and Article 50 runtime deny for AI agents. The platform enforces in production, on every request — and the same discipline is available to your agent as an MCP server that checks and scans the text you pass it, offline, with an article citation on every finding. Classifiers (eu-ai-act-*) score the system; ComplyEdge denies this prompt or output. Article 50 here is unlabeled or deceptive use, not C2PA.

Ships three ways: a Python SDK, an offline CI linter (TrustLint), and an MCP server — a Model Context Protocol server that exposes compliance checks as tools to any MCP host (Claude, Cursor, MCP Inspector).

Article 5 is already law. GPAI fines have applied since 2 August 2026. Your AI is either compliant right now, or it isn't.

What does your compliance tool tell a regulator when it blocks a request? A probability score?

ComplyEdge says: Article 5(1)(a), rule rego-art5-1a-001, timestamp, input hash. One is an audit trail. One is a guess.

MCP Server (Model Context Protocol)

ComplyEdge TrustLint is an MCP server built on the official MCP Python SDK (mcp>=1.9). It gives an agent article-cited compliance checks instead of a probability score, and it runs fully offline: no API key, no network call, rules evaluated from the bundled YAML corpus.

Tools (the server exposes MCP tools only — no resources, no prompts; all are read-only and idempotent):

Local (stdio) — for Claude Desktop, Cursor, MCP Inspector, or any MCP host:

pip install 'complyedge[mcp]'
complyedge-mcp          # or: python -m complyedge.mcp_server

{
  "mcpServers": {
    "complyedge": {
      "command": "complyedge-mcp"
    }
  }
}

Remote (Streamable HTTP): https://mcp.complyedge.io/mcp

sandbox_check is the one tool that needs a key. Locally, set COMPLYEDGE_API_KEY in the server's environment (without it the tool is not listed and the server stays fully offline). On the hosted server it is always listed and works only for a caller that sends its own key as the Authorization: Bearer <key> header on the MCP connection; the key is never a tool argument, never logged, and the hosted server keeps no keys.

{
  "mcpServers": {
    "complyedge": {
      "url": "https://mcp.complyedge.io/mcp",
      "headers": { "Authorization": "Bearer ce_live_your_api_key" }
    }
  }
}

Server source: sdks/python/complyedge/mcp_server.py. Full MCP docs: sdks/python/README.md. The three offline tools use the TrustLint engine and never call the hosted OPA/Rego policy API; sandbox_check is the one that does, and only with your key.

Install (coding agents):

pip install complyedge
pip install trustlint
pip install 'complyedge[mcp]'
npx -y @complyedge/mcp
claude mcp add complyedge -- npx -y @complyedge/mcp

Listing: smithery.ai/servers/complyedge/complyedge

Cursor one-click: Install TrustLint MCP

OpenAI Agents extra (hosted path; needs COMPLYEDGE_API_KEY):

pip install 'complyedge[agents]'

from complyedge.agents import create_compliance_guardrail

CI: uses: complyedge/trustlint-action@v1

GOPAL is an OPA library in your process. ComplyEdge is per-request deny + citation + AI Trust Center + MCP.

Live enforcement seals

Not a static badge. These seals reflect live /v1/check traffic from open-source projects embedding ComplyEdge: they change as real enforcement happens.

Both projects below are our own. ComplyEdge runs in production against our own code before we ask anyone else to run it against theirs.

Each AI Trust Center is generated from that project's real audit trail: enforcement status, check volume, and the EU AI Act articles enforced at runtime. (GitHub proxies and caches images, so the seal above can lag; the AI Trust Center is always current.)

Embed one on your own project: Enforcement Seal docs.

Quick Start

pip install complyedge

from complyedge import compliance_check

@compliance_check(jurisdiction="EU", agent_id="my-agent")
def my_agent(prompt):
    return llm.generate(prompt)  # every input and output checked

Three lines. Every AI input and output evaluated against the EU AI Act rule corpus (Article 5, Article 50, GPAI). Violations blocked before they reach the user: with article citation, rule ID, and timestamp on every decision.

Set COMPLYEDGE_API_KEY to your key. The decorator activates by default; to disable without removing the key (e.g., in CI), set COMPLYEDGE_ENABLED=false.

Without a decorator

from complyedge import is_safe, check
import os

api_key = os.environ["COMPLYEDGE_API_KEY"]

# Boolean check: returns True if no violations
if not is_safe(prompt, api_key=api_key, jurisdiction="EU"):
    raise ValueError("Prompt violates EU AI Act")

# Full result: returns ComplianceResult with the violations that blocked it
result = check(prompt, api_key=api_key, jurisdiction="EU")
if not result.allowed:
    for v in result.violations:
        print(v.rule_id, v.severity, v.rule_description)

rule_id is the citation key: every rule carries its article reference in the corpus (rego-art5-1c-001 → Article 5(1)(c)), and the full citation text ships with the rule under rules/.

Jurisdiction maps to the rule corpus: EU evaluates against EU AI Act Article 5, Article 50, and GPAI obligations. US evaluates against HIPAA, SOX, COPPA, TCPA, BIPA, CCPA, Colorado AI Act, NYC LL144, ECPA.

TrustLint, Offline Linter

No API key required. Scans text against the YAML rule corpus using regex patterns. Published as a standalone package, versioned independently of the SDK.

pip install trustlint

trustlint check --text "We use social credit scoring to evaluate applicants"
# → CRITICAL: EU_AI_ACT_ART5_SOCIAL_SCORING_001, Article 5(1)(c)

Exit codes: 0 = pass, 1 = violations found. Designed for CI/CD pipelines. Source: packages/trustlint/.

Rule IDs: two namespaces

ComplyEdge resolves the same regulations through two engines, each with its own rule-ID namespace:

• Runtime API (OPA/Rego): IDs like rego-art5-1c-001: returned by compliance_check and the /v1/check API. This is the audit trail your production system logs.
• TrustLint (offline, YAML corpus): IDs like EU_AI_ACT_ART5_SOCIAL_SCORING_001: emitted by the offline linter.

Both cite the same legal article and differ only in engine. Map between them via the article reference carried in every rule.

What's In This Repo

sdks/python/          Python SDK (@compliance_check decorator, CLI)
  └ complyedge/mcp_server.py   MCP server (stdio): check_compliance, list_rules, scan_prompt
packages/trustlint/   Offline regex linter (TrustLint): no API key, for CI/CD
rules/regulations/    64 YAML rules (EU AI Act, GDPR, HIPAA, SOX, PCI DSS, and more)
rules/rego/           64 leaf OPA/Rego policies + 7 package aggregators
rules/schemas/        Rule validation schema
rules/scripts/        Schema validator (`validate_rules.py`)
examples/             Usage examples (decorators, OpenAI Agents)
scripts/benchmark/    Runtime benchmark (runner + prompt YAMLs + committed results)
tests/                Rule validation + acceptance tests

Rules

64 YAML rules + 64 deterministic leaf OPA/Rego policies (+ 7 package aggregators) across 4 jurisdictions.