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

Transforms static coding standards into a queryable live data store for AI agents, delivering task-specific rules and fix guidance on demand. This optimizes context window usage through progressive disclosure, ensuring agents apply relevant governance without loading massive documentation.

A server providing programming guidelines and coding standards for multiple languages, enabling access and search of best practices for C#, Go, JavaScript, Python, and TypeScript.

A Model Context Protocol (MCP) server that provides intelligent, context-aware access to development standards, enabling LLMs to automatically select and apply appropriate standards based on project requirements.

Automatically enforces team coding standards in AI-assisted development by providing an MCP server that AI assistants can query for language-specific standards, style guides, and best practices.

Scans codebases for AI frameworks, checks EU AI Act compliance, and generates compliance reports, roadmaps, and audit-ready packages.

A Model Context Protocol server that extracts embedded data (such as i18n translations or key/value configurations) from TypeScript/JavaScript source code into structured JSON configuration files.

A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.

Policy and quality engine for AI coding agents that enforces team coding standards and provides validation gates for agent-assisted software delivery.

Provides AI assistants with comprehensive Magento 2 coding standards, security rules, and theme-specific guidelines to ensure generated code is compliant. It enables real-time code validation, pattern lookup, and security auditing tailored to different Magento frontend stacks.

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Provides GDB and clangd-based tools for debugging C++ programs, enabling step execution, variable inspection, diagnostics, and combined runtime-static analysis.

Integrates local language models (like Qwen3-8B) with MCP clients, providing tools for chat, code analysis, text generation, translation, and content summarization using your own hardware.

Enables structured, iterative reasoning for complex problem-solving with features like confidence tracking, revision mechanisms, and branching support. Provides flexible validation and multiple output formats for systematic analysis and decision-making tasks.

Enables ChatGPT Pro web to securely read workspace files, git diffs, and test records through OAuth-protected read-only MCP tools, so it can plan and review while Codex handles execution without uploading the repository.

An MCP server that performs automated code reviews by analyzing git diffs against configurable review standards with custom reviewer personas.

Enables interactive GitHub pull-request review from Claude Code, with tools to fetch PRs, inspect files and repo structure, post review comments, and query a RAG index of the codebase.

Serves coding agents with project-specific knowledge (decisions, conventions, constraints) over MCP and provides verification verdicts on whether code still complies.

Provides code generation and completion capabilities using the DeepSeek API, with support for tool chaining and cost optimization.

Enables local security scanning and compliance gap analysis for code and text, detecting secrets, PII, and OWASP vulnerabilities, and assessing readiness across major frameworks like NCA, ISO 27001, NIST CSF, and SOC 2.

MCP server that reviews and fixes code across four dimensions (security, standards, production readiness, sustainability), runs tests to verify fixes, and provides findings with diffs.