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Why this server?
Provides powerful code analysis and search capabilities for software projects, helping AI assistants and development tools understand codebases.
Why this server?
Integrates Semgrep static analysis tool with AI assistants, enabling advanced code analysis, security vulnerability detection, and code quality improvements.
Why this server?
Generates JSON file tree from a specified directory, adhering to '.gitignore' rules, allowing for quick project structure review for the model.
Why this server?
Toolset that crawls websites, generates Markdown documentation, and makes that documentation searchable through a Model Context Protocol (MCP) server.
Why this server?
Provides features for file operations, repository management, and advanced search within GitHub repositories.
Why this server?
Connects to CodeLogic, a Software Intelligence platform that graphs complex code and data architecture dependencies, to boost AI accuracy and insight.
Why this server?
An MCP server implementing memory solutions for data-rich applications using HippoRAG for efficient knowledge graph capabilities, enabling search across multiple sources including uploaded files.
Why this server?
Allows LLMs to interact with context-first documentation tools and workflows for preserving knowledge and intent alongside code.
Why this server?
An MCP server that extracts and analyzes Python code structures, focusing on import/export relationships between files to help the model understand code context.
Why this server?
Provides web search functionality via DuckDuckGo for Claude Code and MCP-compatible clients, featuring advanced content exploration, navigation across search results, and detailed webpage analysis.