Codebase Context Dumper
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.
About this tool
Codebase Context Dumper
- Category: Repository Code Analysis / MCP Servers
- Tags: mcp, codebase, context-management, llm-integration
- Source: GitHub Repository
Description
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.
Features
- MCP Server Implementation: Acts as an MCP server, enabling integration with MCP clients such as Claude Desktop and VS Code extensions.
- Automated Codebase Dumping: Recursively reads all text files from a specified directory, skipping binary files and respecting
.gitignorerules. - File Path Annotation: Concatenates file contents with clear file path headers and footers to maintain context.
- Chunked Output Support: For large codebases, supports splitting output into manageable chunks.
- Easy Usage via npx: Can be run easily using npx without a local installation.
- Local Installation Option: Advanced users can install and run the server locally for development or customization.
- Open Source: Licensed under Apache License 2.0.
Pricing
- The tool is open source and free to use under the Apache License 2.0.
Usage
- Integrate with compatible MCP clients by configuring them to use the codebase-context-dumper server.
- Supports both quick usage via npx and advanced local installations.
For more details, visit the official GitHub repository.
Loading more......
Information
Categories
Similar Products
6 result(s)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.
An MCP server that integrates with RepoMix to enable codebase retrieval and analysis, supporting tasks such as code review and documentation generation.
A comprehensive memory management system MCP server for Cursor IDE, allowing AI assistants to remember, recall, and manage information across conversations—showcasing advanced MCP server design.
A specialized MCP server providing LLM enhancement prompts and jailbreaks with dynamic schema adaptation, designed to augment AI capabilities via the MCP protocol.
A server implementing the MCP protocol to connect with Databricks Genie API, enabling LLMs to ask questions, execute SQL, and interact with Databricks conversational agents.
A Model Context Protocol (MCP) server that transforms text into structured JSON data using templates with placeholders, directly supporting MCP server ecosystems.