"dns security mcp" matching MCP servers:

Enables comprehensive security scanning of code repositories to detect secrets, vulnerabilities, dependency issues, and configuration problems. Provides real-time security checks and best practice recommendations to help developers identify and prevent security issues.

RCP-1 is an enterprise-ready MCP server that connects AI assistants to SAP ABAP systems via the ADT REST API, with built-in security, access controls, and deployment options for BTP or on-premise.

Acts as a production-grade safety layer for AI-assisted coding, monitoring Git hygiene, scanning for security issues (PII, secrets, injection), and enabling semantic history search.

Analyzes GitHub Pull Request diffs for security vulnerabilities and data leaks, using a deterministic filter to skip trivial changes and an AI-powered analysis for logic changes.

Enables AI coding agents to orchestrate the full software development lifecycle on GitHub, including planning, issue creation, code review, security triage, and release readiness checks.

An MCP server that enables AI agents to perform comprehensive GitHub security audits across org settings, repositories, Actions workflows, secrets, supply chain, and access control using 39 tools and 45 checks.

A read-only MCP server that exposes Git history, diffs, refs, and file contents to AI assistants, with strict access controls and security restrictions.

Connects AI assistants to GitHub repositories, pull requests, issues, commits, and code search while enabling repository visibility controls, CI/CD monitoring, sandboxed local filesystem access, and code quality/security analysis.

Enables AI agents to administer GitHub Enterprise (Cloud & Server) — organizations, members, teams, repositories, rulesets, security alerts, and Actions — through guarded MCP tools that are read-only, org-scoped, audited, and human-confirmed by default. It also ships an opinionated security-posture baseline that scores a live organization and can apply hardening fixes.

A security-first MCP gateway that enables AI assistants to safely inspect and interact with GitHub repositories through a controlled, auditable tool layer with policy enforcement and human approval for mutations.

Connects LLMs to GitHub and GitLab to analyze pull and merge requests for logic, security, and architectural alignment. It provides tools for fetching diffs, file contents, and project metadata, alongside guided prompts for professional code reviews.

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

Enables LLMs to search and read files in local and GitHub repositories, analyze pull request diffs, and grep code content with built-in security protections.

Enables Codex to fetch GitHub pull request changes, review code for bugs and security issues, and save approved reviews to Notion.

Enables read-only, evidence-led security audits of GitHub-hosted source code through explicit workflow primitives: repository reconnaissance, coverage-ledger planning, heuristic candidate leads, structured findings validation, independent verification gates, and JSON/Markdown report generation. It never clones, executes, or probes the target code, and marks runs incomplete until coverage and reviewer-verification gates pass.

Monitors and analyzes GitHub repository health by detecting stale branches, old pull requests, unresponsive issues, and security alerts. Integrates with MCP-compatible AI assistants and automation tools.

MCP server for interacting with GitLab API, supporting dynamic tool selection and enterprise-grade security.

A production-grade MCP server for managing git projects, offering dynamic tool selection and enterprise-grade security.

Enables AI agents to perform security audits on pull request diffs by detecting secrets, dangerous code patterns, and new dependencies, outputting structured JSON for generating PR review comments.

Orchestrates Claude Code and OpenAI Codex to plan, implement, review, and verify code changes via pull requests with security controls.

Enables querying GitHub Security Advisories from a local cloned advisory database using tools like list_advisories and get_advisory.

Enables git repository operations through REST endpoints, providing access to repository status, diffs, and commits. Enforces security through configurable root directory allowlists for safe git operations.

Analyze GitHub repositories into structured JSON with tech stack detection, dependency analysis, health signals, and security checks. No AI, fully deterministic. Available as CLI and MCP server.

Enables AI assistants to audit repository compliance, generate semantic changelogs, review git diffs for security risks and code smells, and triage incoming issues through standard JSON-RPC tools.

A production-grade MCP server offering modules for GitHub issue/PR triage, live website auditing, and automated release note generation. It provides robust security features like write-operation confirmation gates, rate limiting, and dual-read storage backends.

An MCP server that enables Claude agents to interactively merge security audit findings by grouping duplicates, selecting canonicals, preserving authorship, and generating edit instructions, all against a GitHub issues repository.

An MCP server for automated code review of GitHub pull requests. It checks security, quality, and license issues, and provides tools to list, inspect, and review PRs.

Enables agents to plan, apply, and audit GitHub repository configuration — merge options, security features, rulesets, branch protection, labels, topics, webhooks, files, and git hooks — from reusable templates assigned to single repos or in bulk. It also surfaces drift reports and a full audit trail of who changed what, when, and from where.

Exposes a Windows or Linux host terminal to remote MCP clients via Streamable HTTP, enabling command execution, tunnel management, and privileged operations with security features like OAuth and audit logging.

Tracks the complete lineage and DNA of every line of code, enabling impact analysis, bug risk prediction, and code archaeology through deterministic analysis of git history and AST.

Enables AI clients to incrementally build and maintain a git-backed personal wiki, providing long-term memory by compiling and cross-referencing knowledge across sessions.

Enables AI assistants to perform comprehensive GitHub pull request code reviews, including analysis of code patterns, complexity, and security issues, while managing review comments and ensuring compliance with team coding standards.

A minimal, security-focused MCP server that provides structured read/write access to exactly one local workspace, with built-in local Git checkpoints and rollback.

Connects AI assistants such as Claude, Cursor, and Windsurf to GitHub repository intelligence, code review, AST-based code and security analysis, web and documentation search, and automated test and documentation generation through MCP tools.

A unified MCP server with composable tools for GitHub operations, file management, shell execution, kanban boards, Discord messaging, and package management. Features role-based security, HTTP/stdio transports, and a web-based development UI.

Enables comprehensive GitHub operations including repository management, push, releases, issues, PRs, GitHub Actions, secrets, security, profile, search, and a unique portfolio push tool to create repos from local folders.

Enables agents to perform independent security review of AI-built apps by watching a GitHub repository and querying what the last reading found.

Combines GitHub repository analysis, npm/PyPI package info, and deps.dev security advisories into a single MCP server, requiring no API keys.

A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.

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