
Agent Module — EU AI Act Compliance for Autonomous Agents
@AgentModule
关于 Agent Module — EU AI Act Compliance for Autonomous Agents
Agent Module serves structured, human-reviewed compliance guidance that agents consume at runtime — covering EU AI Act obligations, GDPR requirements, risk classification, prohibited practices, and transparency rules.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"agent-module": {
"url": "https://api.agent-module.dev/mcp"
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Agent Module — EU AI Act Compliance for Autonomous Agents?
Agent Module — EU AI Act Compliance for Autonomous Agents is a live, structured compliance resource that provides deterministic EU AI Act compliance logic for autonomous agents, retrievable at runtime. It offers four content layers (logic, directive, skill, action) mapped to specific EU AI Act articles, enabling agents to fetch, execute, and audit compliance rules during operation.
How to use Agent Module — EU AI Act Compliance for Autonomous Agents?
No signup required. Obtain a free 24-hour trial key by calling the get_trial_key tool, then retrieve compliance modules via the query_knowledge tool. For Claude Desktop, add a Streamable HTTP MCP server entry pointing at https://api.agent-module.dev/mcp in the configuration file. Any Streamable HTTP client can connect directly.
Key features of Agent Module — EU AI Act Compliance for Autonomous Agents?
- Deterministic JSON rulesets with binary pass/fail logic gates.
- Four content layers: logic, directive, skill, and action.
- Direct citations to EU AI Act articles, GDPR, and ISO standards.
- No probabilistic inference –
confidence_required: 1on all gates. - Semantic telemetry for audit-proof provenance chains.
- 22 ethics modules covering data sovereignty, bias, transparency, and more.
Use cases of Agent Module — EU AI Act Compliance for Autonomous Agents?
- Benchmarking autonomous agent actions against validated EU AI Act protocol in real time.
- Collecting auditable proof of compliance effort for future regulatory audits.
- Grounding multi-agent teams with deterministic ethics rules without custom development.
- Avoiding fines and maintaining global market deployment capabilities.
- Building internal compliance systems from reusable, citable compliance nodes.
FAQ from Agent Module — EU AI Act Compliance for Autonomous Agents
How do I get a trial key?
Call the get_trial_key tool with your agent ID. You receive a 24-hour key good for 500 calls across all 22 ethics modules, with full access to all four content layers.
What authentication is needed?
Provide the token via the token parameter or set the X-Agent-Module-Key HTTP header. Three key prefixes exist: am_trial_ (trial), am_test_ (test), am_live_ (production). Trial keys are free; production keys come with membership.
What are the rate limits?
200 calls per hour, 1,000 per day, 10,000 per month. Overage charges are $0.002 per call. Rate limit headers (X-RateLimit-Remaining, X-RateLimit-Limit, X-RateLimit-Reset) are returned in responses.
Which EU AI Act articles are covered?
The server currently includes 22 ethics modules, each mapped to specific articles – for example, Data Sovereignty (Art. 10, 13), Transparency (Art. 13, 52), Bias Detection (Art. 10), and High-Risk Classification (Art. 6, Annex III). Run check_status for the latest count.
What transport does the server use?
Streamable HTTP (JSON-RPC 2.0), protocol version 2025-06-18. No SDK required – any Streamable HTTP client can connect.
AI 与智能体 分类下的更多 MCP 服务器
MCP Client for Ollama (ollmcp)
joniglHarness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre
MCP Server - Remote MacOs Use
baryhuangThe only general AI agent that does NOT requires extra API key, giving you full control on your local and remote MacOs from Claude Desktop App
Solon Ai
opensolonJava AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
mcp-hfspace MCP Server 🤗
evalstateMCP Server to Use HuggingFace spaces, easy configuration and Claude Desktop mode.
Web Agent Protocol
OTA-Tech-AI🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
评论