创思大模型安全 MCP

- 实时风险识别：通过实时分析输入和输出内容，快速识别潜在的风险，如违规内容、伦理问题等。
- 多维度检测：支持多种风险检测维度，包括但不限于合规性、伦理性和安全性。
- 低延迟：采用 HTTPS 传输协议，确保低延迟的实时防护，满足实时性要求。
- 可定制策略引擎：提供灵活的策略引擎，支持用户自定义风险检测规则和防护策略。

- 内容审核：实时监控和审核输入和输出内容，确保内容符合法律法规和社会主义核心价值观。

A content security protection system for large language models, providing real-time risk identification and interception to ensure safe and compliant applications.

AI Bill of Materials generation — model cards, dataset provenance, supply chain transparency, CycloneDX format by MEOK AI Labs

中英双语 AI 欺诈文本检测引擎，可识别诈骗、钓鱼等风险，返回风险评分、判定和等级。

EU AI Act Article 50 watermarking compliance — C2PA metadata, AI-generated content labeling, provenance attestation for Nov 2026 deadline

This AWS Labs Model Context Protocol (MCP) server for CloudTrail enables your AI agents to query AWS account activity for security investigations, compliance auditing, and operational troubleshooting.

Turn any language model into a multimodal powerhouse that can generate images, music, videos and more on the fly. Rostro's tools are designed to be used by language models from the ground up, expanding capabilities with minimal context bloat.

MCP-native AI media generation with x402 pay-per-call. Image, video, audio, and music from 6 providers — composable via resource IDs. USDC on Base.

AI-powered image analysis using OpenAI's Vision API.

AISG MCP Gateway — a security & DLP proxy for the Model Context Protocol. Aggregates your MCP servers behind one endpoint and enforces policy on every tool call