"A report on web page accessibility" matching MCP servers:

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Codebase Q&A agent with git-history awareness. Explore a repo with list_files, read_file, and search, plus git log, blame, and diff and a repo map to answer "why did this change?" questions. Runs locally as an MCP server for Claude Code and other MCP clients.

A lean, local knowledge graph that joins a repo's code to its aSPARK delivery artifacts, enabling agents to trace user stories to code and assess impact of changes, served over MCP.

Enables proof-backed code audit via MCP tools for AST-based code maps, symbol lookup, callers, audit commands, and persistent verdict memory.

Gives your AI coding agent a bounded map of an unfamiliar TypeScript SaaS repo: where the code lives, what's risky to touch, and where the money / auth / user flows are. Provides eight MCP tools for orientation, task focus, risk assessment, and SaaS-specific observations without AST or type checking.

Zero-dependency MCP server inspector for protocol conformance, tool annotations, and capability checks.

Exposes reverse engineering capabilities via MCP protocol, enabling AI agents to automatically detect, analyze, trace, and deobfuscate JSVMP protected JavaScript code.

MCP server for persistent project knowledge management, enabling AI assistants to store, search, and reuse project analysis insights with freshness checking and impact analysis.

Helps AI assistants optimize Linux workloads on Arm64 by parsing perf report output, recommending NEON SIMD intrinsics for hot loops, and auditing Python dependency manifests for arm64 wheel availability — all offline and structured.

An MCP server that turns any public GitHub repository into a PDF report containing a codebase summary, the most recent commits, and suggested improvements — generated locally by an Ollama model.

A stdio MCP server that audits other MCP servers by linting their tool schemas and calling tools with malformed inputs to produce a 0–100 conformance score and Markdown report.

Enables bug localization by analyzing a repo and bug report with an ant-swarm LLM, returning a HOT/WARM/COLD heatmap and JSON audit trail via MCP.

Provides read-only analysis of Mitsubishi GX Works3 PLC projects via MCP, enabling device tracing, cross-referencing, ladder inspection, linting, and report generation without modifying source projects.

Audits Ethereum/Solidity smart contracts using the Cysic Minimax model, providing automated vulnerability detection, gas optimization suggestions, and markdown report generation.

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Turn any .NET test-automation solution into a queryable map in one SQLite file — features, steps, API clients, page objects, and their dependencies. Zero config, no AI, no network, 100% deterministic.

An MCP server that enables code review by having two LLMs (Claude and GPT-4o) independently evaluate code and then synthesize their findings into a unified report.

Local MCP server and CLI for Access layout files, rendered to SVG without Microsoft Access. Enables visual verification of form/report layout changes.

A comprehensive MCP server for frontend analysis. It provides Google Lighthouse audits, code quality checks, SEO metadata verification, accessibility analysis, and bundle optimization for React and Next.js projects.

9 MCP servers for React + TypeScript development automation — component scaffolding, dependency auditing, WCAG accessibility checking, test generation, TypeScript enforcement, and monorepo management. 134 tests, CI on Node 20+22.