The Zig MCP Server enhances AI capabilities with specialized Zig language tooling:
Code Optimization: Analyze and optimize Zig code across all optimization levels (Debug, ReleaseSafe, ReleaseFast, ReleaseSmall)
Compute Units Estimation: Estimate computational complexity, memory usage, and resource requirements
Code Generation: Generate Zig code from natural language descriptions with error handling, testing, and performance optimizations
Code Recommendations: Provide improvement suggestions for style, design patterns, safety, and performance
Access Resources: Serve official Zig documentation, standard library reference, and examples from popular GitHub repositories
Uses GitHub's API to access popular repositories, requiring a GitHub token for better API rate limits
The server itself is written in TypeScript, and the examples showing how to use the MCP tools are demonstrated using TypeScript syntax
Provides Zig language tooling, code analysis, and documentation access, including code optimization, compute unit estimation, code generation, and best practices recommendations
Zig MCP Server
Modern Zig AI 10x dev assistant with comprehensive build system support
A powerful Model Context Protocol (MCP) server that provides comprehensive Zig language assistance, including modern build system support, code optimization, and best practices guidance.
π What's New in v0.2.0
ποΈ Modern Build System Support: Generate and analyze build.zig files with Zig 0.12+ patterns
π¦ Dependency Management: Create build.zig.zon files for modern package management
π§ Enhanced Code Analysis: Improved optimization suggestions and pattern detection
π§ͺ Comprehensive Testing: 85+ test cases with full coverage reporting
β‘ Better Performance: Modular architecture with improved error handling
π Extended Documentation: Build system troubleshooting and best practices guides
Related MCP server: Hi-AI
π οΈ Features
ποΈ Build System Tools (NEW!)
1. Build System Generation (generate_build_zig)
Generate modern build.zig files with Zig 0.12+ patterns:
Cross-compilation support
Modern dependency management
Test and documentation integration
2. Build System Analysis (analyze_build_zig)
Analyze existing build files and get modernization recommendations:
Detect deprecated patterns
Suggest Zig 0.12+ alternatives
Identify missing best practices
3. Dependency Management (generate_build_zon)
Generate build.zig.zon files for modern package management:
Popular Zig packages catalog
Version management guidance
Best practices documentation
Features
Tools
1. Code Optimization (optimize_code)
Enhanced with modern Zig patterns and build mode analysis:
Debug, ReleaseSafe, ReleaseFast, ReleaseSmall
Modern optimization suggestions
Zig 0.12+ pattern recommendations
2. Compute Units Estimation (estimate_compute_units)
Estimates computational complexity and resource usage of Zig code:
Memory usage analysis
Time complexity estimation
Allocation patterns detection
3. Code Generation (generate_code)
Generates Zig code from natural language descriptions with support for:
Error handling
Testing
Performance optimizations
Documentation
4. Code Recommendations (get_recommendations)
Provides code improvement recommendations and best practices:
Style and conventions
Design patterns
Safety considerations
Performance insights
Resources
Language Reference (
zig://docs/language-reference)Official Zig language documentation
Syntax and features guide
Best practices
Standard Library Documentation (
zig://docs/std-lib)Complete std library reference
Function signatures and usage
Examples and notes
Popular Repositories (
zig://repos/popular)Top Zig projects on GitHub
Community examples and patterns
Real-world implementations
Installation
Installing via Smithery
To install Zig MCP Server for Claude Desktop automatically via Smithery:
Manual Installation
Clone the repository:
Install dependencies:
Build the server:
Configure environment variables:
Add to MCP settings:
Usage Examples
1. Optimize Code
2. Estimate Compute Units
3. Generate Code
4. Get Recommendations
Development
Project Structure
Building
Testing
Contributing
Fork the repository
Create your feature branch (
git checkout -b feature/amazing-feature)Commit your changes (
git commit -m 'Add some amazing feature')Push to the branch (
git push origin feature/amazing-feature)Open a Pull Request
License
MIT License - see the LICENSE file for details.