Zig MCP Server
A Model Context Protocol (MCP) server that provides Zig language tooling, code analysis, and documentation access. This server enhances AI capabilities with Zig-specific functionality including code optimization, compute unit estimation, code generation, and best practices recommendations.
Features
Tools
1. Code Optimization (`optimize_code`)
Analyzes and optimizes Zig code with support for different optimization levels:
- Debug
- ReleaseSafe
- ReleaseFast
- ReleaseSmall
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)
- Standard Library Documentation (
zig://docs/std-lib)
- Popular Repositories (
zig://repos/popular)
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.
Zig MCP Server
A Model Context Protocol (MCP) server that provides Zig language tooling, code analysis, and documentation access. This server enhances AI capabilities with Zig-specific functionality including code optimization, compute unit estimation, code generation, and best practices recommendations.
Features
Tools
1. Code Optimization (`optimize_code`)
Analyzes and optimizes Zig code with support for different optimization levels:
- Debug
- ReleaseSafe
- ReleaseFast
- ReleaseSmall
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)
- Standard Library Documentation (
zig://docs/std-lib)
- Popular Repositories (
zig://repos/popular)
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.