A Model Context Protocol (MCP) server designed for dumping codebase context into LLMs, making it easier for AI models to access relevant project information. Exemplifies MCP server usage.
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A tool to share code context with LLMs via Model Context Protocol or clipboard, enhancing code understanding and collaboration.
An MCP server that integrates with RepoMix to enable codebase retrieval and analysis, supporting tasks such as code review and documentation generation.
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.
A specialized MCP server providing LLM enhancement prompts and jailbreaks with dynamic schema adaptation, designed to augment AI capabilities via the MCP protocol.
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.
A server that enables Claude Desktop users to access the Claude API directly, bypass Professional Plan limitations, and use advanced features like custom system prompts and conversation management. A practical MCP server for enhanced Claude integration.
Codebase Context Dumper is a Model Context Protocol (MCP) server that automates the process of extracting and formatting codebase context for use with Large Language Models (LLMs). It streamlines the process of providing relevant project information to AI models by recursively reading and organizing codebase files.
.gitignore rules.For more details, visit the official GitHub repository.