Auggie MCP
A

Auggie MCP

The Auggie MCP server integrates the Auggie CLI tool into the MCP ecosystem, providing code repository Q&A and change implementation functions, and supporting clients such as Cursor and Claude.
2 points
3.3K

What is Auggie MCP Server?

Auggie MCP Server is a bridge server that connects AI assistants (such as Cursor, Claude) with your code repository. Through the Model Context Protocol, it enables AI assistants to use Auggie's powerful functions to understand the code repository, answer questions, and implement code changes.

How to use Auggie MCP Server?

Simple installation and configuration: 1) Ensure that the system has Node.js and Python environments. 2) Install Auggie CLI. 3) Obtain an API token. 4) Configure the MCP server in supported AI clients. After configuration, the AI assistant can directly use Auggie's functions.

Applicable scenarios

Suitable for scenarios where developers need AI assistants to deeply understand the code repository in the IDE: code review, function implementation, bug fixing, code explanation, refactoring suggestions, etc. Particularly suitable for scenarios that require intelligent coding based on the context of the existing code repository.

Main features

Intelligent code repository Q&A
Through Auggie's context engine, AI assistants can deeply understand your code repository and answer related questions, including code logic, architecture design, function implementation, etc.
Safe code implementation
AI assistants can implement code changes based on your code repository pattern. By default, the dry-run mode is used to ensure security, and a difference comparison is generated for you to review before deciding whether to apply the changes.
Seamless CLI integration
Directly utilize the existing Auggie CLI tool without additional configuration of the Python environment. Dependencies and environment settings are automatically handled.
Multi-client support
Supports multiple AI development tools such as Cursor and Claude Desktop, providing a unified access interface for Auggie functions.
Advantages
Deep code understanding: Utilize Auggie's powerful code analysis capabilities to provide accurate code repository context.
Safety first: The default dry-run mode prevents accidental changes, and all changes require explicit confirmation.
Easy to integrate: Install with one click via npx, and environment dependencies are automatically handled.
Cross-platform support: Supports macOS, Linux, and Windows systems.
Seamless experience: Use directly in the IDE without switching tools.
Limitations
Requires Auggie CLI: The Auggie command-line tool must be installed and configured first.
API Token dependency: A valid Augment API Token is required to work properly.
Learning curve: You need to understand the MCP protocol and the basic concepts of Auggie.
Network requirements: Some functions may require a network connection to access Auggie services.

How to use

Environment preparation
Ensure that Node.js 18+ and Python 3.10+ are installed on the system, and install the Auggie CLI tool.
Obtain an API Token
Log in via Auggie CLI and obtain your API access token.
Configure the AI client
Add the MCP server configuration in supported clients such as Cursor or Claude, and set the API token.
Test the connection
Restart the client and test whether Auggie functions work properly.

Usage examples

Code repository understanding and navigation
When you newly join a project or need to quickly understand a complex code repository, use Auggie's Q&A function to quickly grasp the code structure.
Intelligent code implementation
When you need to add a new function but are not sure how to implement it based on the existing code pattern, let Auggie generate code that complies with the project specifications.
Code review and optimization
When you have questions about the existing code or want to seek optimization suggestions, consult Auggie for professional advice.

Frequently Asked Questions

Is Auggie MCP Server free?
How to ensure the security of code changes?
Which types of code repositories are supported?
What should I do if I encounter installation problems?
How to update to the latest version?

Related resources

Auggie official documentation
Complete Auggie CLI usage guide and function description
Model Context Protocol specification
Official specification and implementation guide for the MCP protocol
Cursor editor
AI code editor that supports MCP
Claude Desktop
Anthropic's desktop AI assistant, supporting MCP integration
GitHub repository
Source code and issue tracking for Auggie MCP Server

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "auggie-mcp": {
      "command": "npx",
      "args": ["-y", "auggie-mcp@latest"],
      "env": { "AUGMENT_API_TOKEN": "YOUR_TOKEN" }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
7.6K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
8.7K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.9K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.8K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.5K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.3K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.2K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.8K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase