MCP Server
The SnapBack MCP server is a service that provides code security analysis and snapshot management for AI tools via the model context protocol. It supports offline basic analysis and cloud-based advanced functions.
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What is SnapBack MCP Server?
SnapBack MCP Server is a code security analysis tool designed specifically for AI programming assistants. It allows AI assistants to automatically check for security risks in the code, such as hard-coded keys and potential vulnerabilities, when generating or modifying code. Through the Model Context Protocol (MCP) standard, it can seamlessly integrate into various AI tools that support MCP, such as Claude Desktop and Cursor.How to use SnapBack MCP Server?
It's very simple to use: After installation, the AI assistant will automatically call SnapBack's analysis function at the appropriate time. For example, when the AI is about to add authentication code, it will first call SnapBack to check if there are any hard-coded API keys in the code. You can also manually configure it to let the AI perform a security check before each code change.Use Cases
It is most suitable for use in the following scenarios: 1) Conduct a security check before accepting AI-generated code; 2) Review complex code changes; 3) Handle critical files (such as authentication, database, and configuration files); 4) Check compatibility and security when updating dependency packages; 5) Create a code snapshot before major refactoring.Main Features
Risk Analysis
Automatically detect security risks in code changes, such as hard-coded keys, potential vulnerabilities, and insecure code patterns. The AI assistant will call this function for a check before applying the code.
Dependency Checking
When the package.json file changes, automatically check for version updates, security vulnerabilities, and compatibility issues of dependency packages to ensure that dependency updates do not introduce risks.
Snapshot Management (Pro Version)
Create a code snapshot before major code changes. If there are any problems, you can quickly restore to the previous stable state. It supports cloud synchronization and team sharing.
Offline Mode
You can use the basic functions without an API key, including local risk analysis, dependency checking, and basic key detection. It runs completely offline.
Context7 Integration
Integrate the Context7 library documentation and code search functions to help the AI assistant better understand and use third-party libraries and provide accurate code examples.
Advanced ML Analysis (Pro Version)
Use machine learning models for more in-depth risk detection to identify complex vulnerability patterns and potential security issues.
Advantages
๐ Completely free basic functions, no need to register an account
๐ Local analysis protects privacy, and sensitive code does not leave the local environment
โก Seamless integration, the AI assistant calls it automatically, no manual operation required
๐ Supports offline use and can work even when the network is unstable
๐ Compatible with mainstream AI tools (Claude Desktop, Cursor, etc.)
๐ฆ Lightweight installation, one-click configuration
Limitations
๐ Advanced functions require an API key (but the basic functions are completely free)
๐ค Only supports AI tools that use the MCP protocol
๐ Snapshot management requires an internet connection (basic analysis can be done offline)
๐ The analysis ability in offline mode is limited
๐ ๏ธ Requires a Node.js 18+ environment
How to Use
Install SnapBack MCP Server
Install the SnapBack MCP Server package globally via npm
Configure Claude Desktop
Add the SnapBack server configuration to the Claude Desktop configuration file
Add Configuration Code
Add the following JSON configuration to the configuration file (optionally add an API key)
Restart Claude Desktop
Completely close and restart the Claude Desktop application for the configuration to take effect
Start Using
Now when the AI assistant generates code, it will automatically call SnapBack for a security check
Usage Examples
Example 1: Prevent Hard-Coded Keys
The AI assistant is about to add API authentication code. It automatically checks if there are any hard-coded keys before applying it.
Example 2: Securely Update Dependencies
When updating the dependency versions in package.json, check if there are any known security issues in the new versions.
Example 3: Backup Before Major Refactoring
Create a snapshot before large-scale code refactoring so that you can restore if there are any errors.
Example 4: Find Library Documentation
When the AI assistant needs to know how to use a certain library, it automatically searches for relevant documentation.
Frequently Asked Questions
Do I need to pay to use it?
Will my code be uploaded to the cloud?
Which AI tools are supported?
How can I get an API key?
What should I do if the tool doesn't appear after installation?
Which programming languages are supported?
Will it affect the response speed of the AI assistant?
Related Resources
Official Documentation
Complete documentation for using SnapBack and API references
GitHub Repository
Source code and issue tracking for the MCP server
Main Project Repository
Source code for the core SnapBack project
NPM Package Page
View version history and installation statistics
VS Code Extension
The VS Code extension version of SnapBack
TypeScript SDK
The TypeScript development toolkit for SnapBack

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ยฉ 2025AIBase

