# Code analysis

DeepView MCP is a code analysis service based on the Gemini large model, providing IDEs with the ability to understand the context of the entire codebase.

An AI software architect server based on the MCP protocol that can analyze codebases to generate product requirement documents (PRDs) and provide reasoning assistance for complex coding tasks. It uses a multi-model architecture and intelligent agent design.

MCP DevOps Hub is a server that provides end-to-end development visualization, integrating tools such as Jira, GitHub, and CI/CD, and supporting team notifications and code analysis.

An intelligent code analysis and debugging service based on the Perplexity AI API, integrated with the Claude desktop client through the MCP protocol, providing functions such as error analysis, pattern recognition, and solution recommendation.

Gossiphs is a zero-configuration, high-performance general code file relationship analysis tool that supports multiple programming languages. It is based on tree-sitter and git analysis, provides support for Python SDK and MCP protocol, and is convenient for integration with AI.

Code Index MCP is a code indexing and analysis server based on the Model Context Protocol (MCP), providing functions such as code search, file analysis, and intelligent filtering. It supports multiple programming languages and helps developers efficiently manage codebases.

A language server tool based on the MCP protocol, providing precise code analysis capabilities for LLMs

The Corrode MCP Server is a code model context protocol server implemented in Rust, designed specifically for Rust developers. It provides functions such as Crates.io integration, code analysis, file operations, and shell command execution, and supports the standardized connection between LLM applications and external data sources.

This project is a tool for running a Model Context Protocol (MCP) server. It encapsulates the functions of the CodeQL query server and supports interaction with CodeQL through structured commands and document search.

NetContextServer is a tool that enhances AI programming assistants' understanding of .NET codebases. It provides functions such as in-depth code analysis, semantic search, and test coverage analysis through the Model Context Protocol (MCP).

A service that provides code context analysis through the WebAssembly Tree - sitter parser, supports extracting directory structure and code symbols, and is compatible with the MCP protocol for integration with AI assistants.

A Claude - based code analysis tool for analyzing open - source projects and generating intelligent merge strategies

This project is an MCP server for Linux source code query based on Elixir, aiming to help LLM more accurately read and analyze the Linux kernel code.

A plugin for collecting and submitting AI assistant usage statistics data

The MCP Server provides code analysis and document generation tools, supporting multi - language project structure analysis and code collection.

An MCP server that provides code context for AI assistants by indexing local code into a graph database, supporting code analysis, relationship query, and real - time update functions.

An MCP server based on Sourcegraph, providing AI-enhanced code search capabilities, supporting advanced queries and content retrieval across code repositories.

CodeFlow is an intelligent code analysis tool that generates detailed call graphs by parsing the abstract syntax tree of the code and provides semantic search functionality. It includes two interfaces, a CLI tool and an MCP server, aiming to help developers understand complex codebases with minimal cognitive burden.

An MCP server that connects GitHub code with Claude.ai, extracting GitHub repository code through the Pera1 service and providing enhanced context.

This is an MCP server for code analysis and web scraping. It supports code quality checking, dependency analysis, static/dynamic web scraping, and API discovery, providing development tools for AI assistants.

DeepContext is an MCP server that provides symbol - aware semantic search capabilities for code assistants. By intelligently parsing code structure and semantic relationships, it can accurately locate relevant code snippets in large codebases and improve development efficiency.

An MCP server project that uses Codelogic's software dependency data in an AI programming assistant to provide a code impact assessment tool.

FileScopeMCP is a TypeScript - based tool used to analyze the importance of files in a codebase, track dependencies, and provide visual charts, helping developers quickly understand the code structure.

Extract project summaries and MCP service tags from the code

McpDocs is a documentation tool for Elixir projects that provides documentation information for project functions and dependent functions to LLM through the SSE MCP server.

Code Reasoning is an MCP server tool specifically designed to enhance Claude's ability to solve complex programming problems. It decomposes programming tasks through a structured, step - by - step thinking method, supporting multi - path exploration and thinking correction.

A Semgrep server based on the MCP protocol for integrating the static code analysis tool Semgrep into the development environment, supporting rule management and scanning functions.

Codebase MCP is a service that implements the Model Context Protocol (MCP), providing tools for retrieving and analyzing entire codebases through RepoMix, and supporting AI agents such as Cursor's Composer Agent to automatically read and understand large codebases.

gopls-mcp is an MCP server project that integrates the Go language server (gopls) with MCP-compatible hosts (such as Claude Code and VS Code). It provides 14 Go development tools, including code navigation, diagnostic analysis, and code assistance, and supports simultaneous operation of multiple workspaces.

An MCP server that helps AI code editors find symbol definitions in TypeScript projects, which can locate the original definition positions and code snippets of imported symbols.