"An MCP that complies with Data Act and ISO 27001 standards" matching MCP servers:

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

Exposes tools to list, run, and inspect GitHub Actions workflows locally via act, enabling debugging and fixing failures through an agent loop.

A self-learning AI standards system that automatically detects patterns from user corrections and updates AI configuration files. Learns from repeated corrections (like 'use uv not pip') and automatically generates CLAUDE.md and other AI assistant configuration files.

Enables EU AI Act compliance assessment by classifying AI systems, listing obligations, computing deadlines, and scanning repos for required documentation, all running locally.

MCP server for EU AI Act compliance classification with multi-jurisdiction overlay across 8 frameworks (NIST AI RMF, ISO 42001, GDPR, HIPAA, Colorado SB 24-205). Provides deterministic risk classifier (quick_risk_class) and Claude-powered Annex III deep classifier (classify_annex3) with remediation actions.

MCP server for testing GitHub Actions workflows locally using nektos/act.

Manages project standards, configurations, and API debugging for AI-assisted development, ensuring unified development practices across teams and machines.

An MCP server that provides tools for deterministic EU AI Act risk classification and documentation generation, enabling human-in-the-loop AI system assessments inside Claude Code.

MCP server for EU AI Act compliance analysis — classify any AI system or workflow against Regulation (EU) 2024/1689, updated with AI Omnibus 2026.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Provides AI assistants with structured access to an organization's engineering standards, practices, and processes through searchable knowledge base with CRUD operations and multi-dimensional organization.

Lets AI assistants classify an AI system under the EU AI Act, returning risk tier, obligations, and deadlines based on a plain-English description of the product.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

Enables ISO 19650 and UK BIM Level 2 compliance for construction projects, validating EIR, BEP, MIDP, TIDP, and CDE structures.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

MCP server that profiles local data files (CSV, Parquet, JSON, Excel) and returns compact structured summaries with data-quality flags, enabling AI agents to understand datasets without seeing raw rows.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

An MCP server for dataset exploration and analysis, enabling LLM clients to perform summary, correlation, distribution, missing value analysis, data cleaning, and statistical tests directly on CSV files.

A minimal MCP server that exposes a run_command tool over stdio, enabling command execution within a Docker container.