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    1. Home
    2. Repository & Code Analysis Mcp Servers
    3. Codebase Context Dumper

    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.

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    Information

    Websitegithub.com
    PublishedMay 14, 2025

    Categories

    1 Item
    Repository & Code Analysis Mcp Servers

    Tags

    4 Items
    #mcp
    #codebase
    #Context Management
    #llm-integration

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    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 .gitignore rules.
    • 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.