"A search for information about deep crawl web crawling and site auditing tools" matching MCP servers:

Enables intelligent code analysis and search across repositories using the CodeRank algorithm (inspired by PageRank) to identify critical modules, trace dependencies, find code hotspots, and perform context-aware keyword searches with importance-ranked results.

Enables Codex to scaffold small framework-free websites and critique them with sourced, severity-annotated findings that teach better design and development choices.

Enables Claude Code to escalate complex code analysis to Google's Gemini AI for multi-model reasoning, including execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing over large codebases and logs.

Multi-language SAST and AI-powered fuzzing MCP server for Claude Code integration, enabling static and dynamic security analysis of code.

Enables Claude Code and other MCP clients to escalate complex code investigations to Google's Gemini AI for large-context trace analysis, cross-service impact assessment, performance bottleneck detection, hypothesis testing, and multi-turn AI-to-AI debugging.

Enables Claude Code to escalate complex code analysis to Gemini for long-context debugging, execution tracing, cross-system impact analysis, performance modeling, and hypothesis testing, including AI-to-AI multi-turn conversations. It supports analyzing large logs, traces, and codebases by leveraging Gemini's 1M-token context window and code execution capabilities.

Enables Claude Code to escalate complex code-analysis tasks to Google's Gemini AI, supporting multi-turn conversations, execution-flow tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.

Enables Claude Code to escalate complex analysis tasks to Google's Gemini AI for execution-flow tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing. Facilitates AI-to-AI dialogue for iterative debugging across large codebases and logs.

Exposes six evidence-oriented tools over stdio so MCP clients can navigate unfamiliar code, ask typed questions about repository evidence, review completed changes, and select existing tests.

MCP server providing npm registry search, package details, dependency auditing, bundle size estimation, and package comparison tools for AI agents.

An MCP server that provides a persistent sandbox for AI coding agents to explore codebases server-side, returning only compact summaries to reduce context consumption.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

Exposes Language Server Protocol (LSP) tools such as diagnostics, goto definition, find references, symbols, and rename as a stdio MCP server.

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.

Provides documentation generation and analysis tools for AI agents, including JSDoc generation, README analysis, changelog generation, API documentation, and code comment analysis.

Enables file reading with pagination and regex-based code search across a codebase using grep.

Enables Claude Code to delegate complex code analysis to Gemini AI, supporting execution-flow tracing, cross-system impact analysis, performance bottleneck detection, hypothesis testing, and multi-turn conversational debugging.

Enables Claude Code to escalate complex code analysis to Google's Gemini AI for large-context execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.

Enables Claude Code to escalate complex code analysis to Gemini for multi-model workflows such as execution tracing, cross-system impact analysis, performance bottleneck detection, hypothesis testing, and AI-to-AI conversational analysis.

Enables SDK and MCP clients to perform repository code search and retrieval, inspect current source and related evidence, and optionally use semantic search, reranking, and web sources while keeping the calling agent in control.

Local MCP servers that give Claude Code access to other tools mid-session.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Enables Claude Code to escalate complex code-analysis tasks to Google Gemini for large-context execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.

It enables Claude Code to route complex code analysis tasks to Google Gemini, supporting execution-flow tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing over large codebases and logs.

Architecture-index MCP tools for kernelee apps that combine static analysis and runtime wiring into a JSON index, enabling coding agents to query control flow and dependencies via the Model Context Protocol.

Enables Claude Code to use VS Code's tools, including diagnostics, symbol renaming, command execution, file opening, workspace listing, semantic search/API reference, terminal context, and integrated browser page interaction. It lets Claude see and act on the user's VS Code window, including shared browser pages and Markdown Editor selections.

Enables Claude Code to hand off complex code analysis to Google Gemini, supporting huge-context trace and log correlation, execution-flow tracing, cross-service impact analysis, performance bottleneck detection, and hypothesis-driven debugging through MCP tools.

Enables Claude Code to escalate complex code analysis to Google's Gemini AI, supporting conversational AI-to-AI debugging, execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.

Code linting and style checking tools for AI agents, exposed as an MCP server. Supports style checks, naming conventions, complexity analysis, dead code detection, and import analysis.

Enables querying a TypeScript codebase's graph for call flows, type relationships, and symbol locations without reading file bodies.