"Answer Engine Optimization (AEO) Audit Guide" matching MCP servers:

Provides nine specialized production-ready solvers for advanced resource allocation, network flow, and multi-objective optimization with native Monte Carlo integration. It enables users to perform constraint-based decision-making and performance analysis directly through Claude Code.

Enables solving complex combinatorial optimization problems with logical and numerical constraints through multiple solvers (Z3, CVXPY, HiGHS, OR-Tools). Specializes in portfolio optimization, scheduling, resource allocation, and constraint satisfaction problems.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

MCP server that enables AI coding assistants to audit repositories against engineering rules, generating self-contained HTML reports with citations and optional GitHub issue filing.

Eyes for AI coding agents: deterministic MCP server that tells the LLM which CSS rule wins, in which file, on which line — and why. Cascade verdicts, blast radius, interaction timelines, pixel-perfect audits.

Enables programming agents to capture errors and conversation signals, reflect on root causes, consolidate reusable skills, and retrieve relevant context for future tasks, providing a self-learning memory loop.

Enables coding agents to audit a Next.js codebase read-only, checking routes, Prisma models, environment variables, and locale consistency via MCP tools.

A frontend security dependency auditing tool that identifies vulnerabilities in local and remote repositories using the Model Context Protocol. It provides detailed audit information like CVSS scores and dependency chains, generating standardized markdown reports.

A multi-agent system that scans a JavaScript or TypeScript source file for unbalanced addEventListener calls, flags memory-leak vectors, and produces a validated patch via a Gemini LLM.

Evaluates any website's AI visibility with 15 checks across crawlability, structure, content, and connectivity, and provides actionable fixes.

MCP server that safely fixes npm audit vulnerabilities by planning, applying fixes one at a time, running tests after each, and auto-reverting failures to prevent breaking changes.

Wraps three deterministic audit scripts (funnel, accessibility, LLM visibility) as MCP tools, returning honest markdown reports with no fabricated results.

An MCP server that audits Dockerfiles for security and quality issues, providing structured reports with severity, line numbers, remediation, and fix snippets.

Free MCP tools for context engineering audits of AI agents, offering on-demand analysis of system prompts, tool definitions, and context packing.

MCP server for technical SEO audits, powered by the detail.web engine. Run a site audit straight from your AI agent to get a health score, issues across 8 categories, and a GEO sub-score.

Audits Make.com scenario blueprints before import, checking for hardcoded secrets, dangling references, plain-HTTP URLs, and other issues. Provides tools to inspect blueprint structure, trace module mappings, and generate a safety findings report.

Scans any website and produces an Agent Readiness Report scored on the open ASO framework.

MCP server that audits npm dependencies against the live registry, providing per-dependency reports on versions behind, deprecation, and license.