"PageSpeed Insights" matching MCP servers:

Analyzes codebases to generate dependency graphs and architectural insights across multiple programming languages, helping developers understand code structure and validate against architectural rules.

A local MCP server that captures coding context, tracks developer sessions, and powers daily insights.

An intelligent MCP server that analyzes logging quality in your code and provides improvement suggestions using LLM-powered insights.

Real-time crypto whale intelligence MCP server with 55 tools across 14 blockchains. Free, no auth required.

A security-focused server that integrates with Cursor IDE to provide real-time vulnerability detection, exploit generation, and security insights during software development.

The server facilitates natural language interactions for exploring and understanding codebases, providing insights into data models and system architecture using a cost-effective, simple setup with support for existing Claude Pro subscriptions.

Enables comprehensive algorithm benchmarking, performance analysis, and optimization across JavaScript, TypeScript, and Python code, with AI-powered insights and automated comparisons.

Local-first MCP server providing deterministic Flutter/Dart static analysis, knowledge search, and project review with structured insights and confidence-based findings over an indexed SQLite store of official repositories.

A server that converts Allure test reports into LLM-friendly formats, enabling AI models to better analyze test results and provide insights about test failures and potential fixes.

An AI Context Engineer that transforms vague queries into structured context packages for LLMs by extracting code, mapping relationships, and providing insights.

Analyzes frontend project code (React, Vue, Angular) and converts it into AI-understandable flow diagrams and object structures. Provides tools for code analysis, variable/function/component inspection, and project structure insights.

A server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.

Provides semantic code search and code insights via a knowledge graph, enabling AI to understand, navigate, and modify complex projects with deep dependency and architecture analysis.

Exposes CodeScene's Code Health analysis as local AI-friendly tools, enabling AI assistants to provide insights on code quality, maintainability, and technical debt directly from the codebase.

Provides Claude with persistent, semantic knowledge of a codebase across sessions by maintaining a local knowledge base of structural maps, compressed file summaries, and insights.

Synapse indexes C# codebases into a FalkorDB-backed graph to provide deep structural insights including inheritance, interface implementations, and call chains. It enables AI assistants to query code architecture and navigate symbol relationships using an LSP-powered MCP server.

Provides fast C++ code intelligence for LLMs by combining Tree-sitter parsing with clangd LSP for efficient symbol lookup, navigation, and hierarchy analysis. It optionally integrates Google Gemini AI to deliver deeper architectural insights and automated documentation summaries.

MCP server that analyzes codebases to provide dependency graphs, impact analysis, and file insights across 15+ programming languages, enabling AI assistants to understand project structure and navigate code efficiently.

Indexes commit history to create a queryable expert, providing insights into code evolution, developer intent, and hidden patterns beyond static code analysis.

Provides AI agents with language-aware code analysis through the Language Server Protocol, enabling tasks like getting code insights and diagnostics.