Codebase Context Dumper
C

Codebase Context Dumper

An MCP server tool for automatically dumping codebase content into a format suitable for processing by large language models, supporting recursive scanning, ignoring.gitignore rules, skipping binary files, and chunking large codebases.
2 points
6.6K

What is Codebase Context Dumper?

This is a Model Context Protocol (MCP) server tool specifically designed to automatically scan your code projects and organize the code content into a format suitable for input into large language models (LLMs). It can automatically handle file filtering, formatting, and chunking, eliminating the need for manual organization.

How to use Codebase Context Dumper?

Simply run it with one click via npx or install it locally, and then configure it in your MCP client (such as Claude Desktop or the VS Code extension) to use. The tool will automatically scan the code files in the specified directory.

Applicable scenarios

This tool is particularly useful when you need to input the content of an entire codebase or a large project into an LLM for analysis, document generation, or programming advice. It is especially suitable for handling complex projects containing multiple files and directories.

Main features

Automatic code scanning
Recursively scan all text files in the specified directory and automatically build a complete codebase context.
.gitignore support
Automatically follow the.gitignore rules in the project and exclude files and directories that should not be included.
Binary file detection
Intelligently identify and skip binary files, and only process text content.
Content chunking
Support splitting large codebases into multiple chunks to adapt to the context window limit of LLMs.
File marking
Automatically add start and end markers to each file to clearly identify the code source.
Advantages
Automate the entire codebase context collection process, saving a lot of manual organization time.
The intelligent filtering mechanism ensures that only relevant code files are included.
The chunking function supports processing extremely large codebases.
Seamlessly integrate with various MCP-compatible clients.
No local installation is required, and it can be run directly via npx.
Limitations
Currently mainly targeted at code text files, with limited support for other types of documents.
Processing large codebases may take a long time.
Chunking may break the cross-file context association.

How to use

Run via npx (recommended)
The simplest way to use, no local installation required.
Configure the MCP client
Add server configuration in your MCP client (such as Claude Desktop or the VS Code extension).
Specify the scanning path
When calling the tool in the client, provide the absolute path of the project directory to be scanned.

Usage examples

Complete codebase analysis
Input the entire project code into the LLM to obtain architecture analysis and improvement suggestions.
Chunked processing of large projects
Process large codebases that exceed the LLM context limit.
Rapid document generation
Automatically generate a draft document based on the code.

Frequently Asked Questions

Will this tool include my sensitive information?
How to handle very large codebases?
Which file types are supported?
How to ensure the file processing order?

Related resources

GitHub repository
Project source code and issue tracking.
npm package page
Official npm package information and version history.
MCP protocol introduction
Official documentation of the Model Context Protocol.
Usage tutorial video
Getting started tutorial for Codebase Context Dumper.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "codebase-context-dumper": {
      "command": "npx",
      "args": [
        "-y",
        "@lex-tools/codebase-context-dumper"
      ]
    }
  }
}

{
      "mcpServers": {
        "codebase-context-dumper": {
          "command": "/path/to/your/local/codebase-context-dumper/build/index.js" // Adjust path
        }
      }
    }
Note: Your key is sensitive information, do not share it with anyone.

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