# Code Analysis

> Browse 33 items tagged with Code Analysis.

## Items

- [ESLint MCP Server](https://mcpserver.ever.works/items/eslint-mcp-server) — Official ESLint Model Context Protocol server enabling AI assistants to run ESLint linting and code analysis in IDEs, assisting developers with automated code quality checks and JavaScript/TypeScript error detection.
- [DeepWiki by Devin](https://mcpserver.ever.works/items/deepwiki-by-devin) — Remote, no-auth MCP server providing AI-powered codebase context and answers. Official MCP server for codebase exploration.
- [RR.MCP](https://mcpserver.ever.works/items/rrmcp) — Facilitates AI-driven .NET project analysis by extracting interfaces, models, and data structures using PowerShell scripts. Provides structured outputs for LLMs to understand .NET codebases.
- [Autodocument MCP Server](https://mcpserver.ever.works/items/autodocument-mcp-server) — MCP server that automatically generates documentation for code repositories by analyzing directory structures and code files using LLM APIs.
- [Cursor MCP Server](https://mcpserver.ever.works/items/cursor-mcp-server) — MCP server for improving Cursor IDE with tool integration, sequential thinking, and Composer Agent support. Configuration includes Cursor IDE setup and transport selection for MCP servers.
- [Screeny](https://mcpserver.ever.works/items/screeny) — Privacy-first macOS MCP server that provides visual context for AI agents through window screenshots. Enables AI to capture and analyze screen content securely.
- [Call Graph Analysis MCP Server](https://mcpserver.ever.works/items/call-graph-analysis-mcp-server) — A Model Context Protocol server that provides call graph analysis capabilities to LLMs through the nuanced library, enabling code dependency and function call visualization.
- [Code Dependencies MCP Server](https://mcpserver.ever.works/items/code-dependencies-mcp-server) — A Model Context Protocol server for analyzing code dependencies, enabling AI assistants to understand and visualize project dependency structures.
- [Code Guardian](https://mcpserver.ever.works/items/code-guardian) — AI-powered code refactor engine with 80+ MCP tools for code analysis, hotspot detection, complexity metrics, persistent memory, and automated refactoring plans. Local deployment.
- [Contextual Codebase Analysis MCP](https://mcpserver.ever.works/items/contextual-codebase-analysis-mcp) — Enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini's extensive context window. Provides AI-powered codebase understanding for development workflows.
- [MCP for Neulora](https://mcpserver.ever.works/items/mcp-for-neulora) — An intelligent MCP server that provides tools for collecting and documenting code from directories, enabling AI assistants to generate comprehensive code documentation automatically.
- [Nx](https://mcpserver.ever.works/items/nx) — MCP server providing LLMs with Nx's codebase understanding, including codebase architecture, project relationships, and runnable tasks for precise AI code suggestions.
- [MCP_OA](https://mcpserver.ever.works/items/mcp_oa) — MCP server that facilitates AI assistants in analyzing code by identifying function usage within Python and TypeScript/TSX files.
- [MCP OA](https://mcpserver.ever.works/items/mcp-oa) — Facilitates AI assistants in analyzing code by identifying function usage within Python and TypeScript/TSX files.
- [Consult7](https://mcpserver.ever.works/items/consult7) — Analyze large codebases and document collections using high-context models via OpenRouter, OpenAI, or Google AI -- very useful, e.g., with Claude Code.
- [Context Hub Generator](https://mcpserver.ever.works/items/context-hub-generator) — Tool for generating contextual documentation from your codebase, enabling automated documentation creation through source code analysis.
- [mcp-golang](https://mcpserver.ever.works/items/mcp-golang) — A Model Context Protocol server that provides Go language tools for LLMs to analyze, test, and format Go code.
- [ai-distiller](https://mcpserver.ever.works/items/ai-distiller) — A tool that extracts essential code structure from large codebases into an AI-digestible format; commonly used as an MCP-accessible utility to help AI agents understand and work with complex repositories.
- [Code Documentation Generation MCP Server](https://mcpserver.ever.works/items/code-documentation-generation-mcp-server) — An MCP server that analyzes codebases to automatically generate technical documentation, enhancing developer productivity within MCP-powered workflows.
- [code-to-tree](https://mcpserver.ever.works/items/code-to-tree) — code-to-tree is a single-binary Model Context Protocol (MCP) server that converts source code into an abstract syntax tree (AST) representation, regardless of the programming language. It enables MCP-compatible clients to analyze and navigate code structure programmatically via a unified server interface.
- [CodeGraphContext](https://mcpserver.ever.works/items/codegraphcontext) — CodeGraphContext is an MCP server that indexes local code into a graph database, exposing structured code context to AI assistants. It enables graph-based code exploration and reasoning for coding agents via the MCP protocol.
- [CodeScene MCP Server](https://mcpserver.ever.works/items/codescene-mcp-server) — An MCP Server integration for CodeScene, allowing MCP tools to analyze codebases with CodeScene’s behavioral code analysis and insights that connect code, teams, and business priorities.
- [Clj Kondo MCP](https://mcpserver.ever.works/items/clj-kondo-mcp) — A Model Context Protocol server providing clj-kondo linting capabilities for Clojure/ClojureScript/EDN files. Useful in environments lacking built-in linting, directly as an MCP server.
- [Code2flow Server](https://mcpserver.ever.works/items/code2flow-server) — A server wrapping the code2flow tool as an MCP service, enabling AI applications to generate and access code call graphs using a standardized protocol. Directly demonstrates MCP server integration.
- [Compiler Explorer Mcp](https://mcpserver.ever.works/items/compiler-explorer-mcp) — A Model Context Protocol server that connects LLMs to the Compiler Explorer API, enabling compilation and exploration of code across different compilers and languages. This is an MCP server providing LLMs with code analysis and compiler features.
- [Dafny Mcp](https://mcpserver.ever.works/items/dafny-mcp) — Integrates with Dafny for code correctness verification via formal specification analysis—a specialized MCP server for formal methods and verification.
- [codelogic-mcp-server](https://mcpserver.ever.works/items/codelogic-mcp-server) — Official MCP server for CodeLogic, providing access to code dependency analytics, architectural risk analysis, and impact assessment tools.
- [codebase-mcp](https://mcpserver.ever.works/items/codebase-mcp) — An MCP server that integrates with RepoMix to enable codebase retrieval and analysis, supporting tasks such as code review and documentation generation.
- [Code Index MCP](https://mcpserver.ever.works/items/code-index-mcp) — A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup. Demonstrates MCP server use for codebase analysis.
- [Code2prompt](https://mcpserver.ever.works/items/code2prompt) — Transforms complex codebases into structured summaries optimized for language models through an MCP server, facilitating better code understanding and analysis workflows. Directly relevant as an MCP server.
- [Codechecker](https://mcpserver.ever.works/items/codechecker) — A code review tool for Cursor IDE that uses OpenAI's GPT models to provide intelligent code analysis and suggestions via an MCP server interface. An MCP server example for code analysis.
- [Codeql](https://mcpserver.ever.works/items/codeql) — Bridges to the CodeQL static analysis engine through an MCP server, allowing for identification of security vulnerabilities and quality issues via structured queries. A prominent MCP server for code analysis.
- [Claude Code](https://mcpserver.ever.works/items/claude-code) — An MCP server that implements Claude Code-like functionality, allowing AI-driven analysis of codebases, file modification, command execution, and project management directly through file system interactions. A notable solution for code-focused MCP servers.

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_Canonical page: https://mcpserver.ever.works/tags/code-analysis_