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
1. Code Optimization (optimize_code)
Analyzes and optimizes Zig code with support for different optimization levels:
- Debug
- ReleaseSafe
- ReleaseFast
- ReleaseSmall
// Example usage
{
"code": "const std = @import(\"std\");\n...",
"optimizationLevel": "ReleaseFast"
}
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
// Example usage
{
"code": "const std = @import(\"std\");\n..."
}
3. Code Generation (generate_code)
Generates Zig code from natural language descriptions with support for:
- Error handling
- Testing
- Performance optimizations
- Documentation
// Example usage
{
"prompt": "Create a function that sorts an array of integers",
"context": "Should handle empty arrays and use comptime when possible"
}
4. Code Recommendations (get_recommendations)
Provides code improvement recommendations and best practices:
- Style and conventions
- Design patterns
- Safety considerations
- Performance insights
// Example usage
{
"code": "const std = @import(\"std\");\n...",
"prompt": "Improve performance and safety"
}
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:
npx -y @smithery/cli install zig-mcp-server --client claude
Manual Installation
- Clone the repository:
git clone [repository-url]
cd zig-mcp-server
- Install dependencies:
- Build the server:
- Configure environment variables:
# Create a GitHub token for better API rate limits
# https://github.com/settings/tokens
# Required scope: public_repo
GITHUB_TOKEN=your_token_here
- Add to MCP settings:
{
"mcpServers": {
"zig": {
"command": "node",
"args": ["/path/to/zig-mcp-server/build/index.js"],
"env": {
"GITHUB_TOKEN": "your_token_here",
"NODE_OPTIONS": "--experimental-vm-modules"
},
"restart": true
}
}
}
Usage Examples
1. Optimize Code
const result = await useMcpTool("zig", "optimize_code", {
code: `
pub fn fibonacci(n: u64) u64 {
if (n <= 1) return n;
return fibonacci(n - 1) + fibonacci(n - 2);
}
`,
optimizationLevel: "ReleaseFast"
});
2. Estimate Compute Units
const result = await useMcpTool("zig", "estimate_compute_units", {
code: `
pub fn bubbleSort(arr: []i32) void {
var i: usize = 0;
while (i < arr.len) : (i += 1) {
var j: usize = 0;
while (j < arr.len - 1) : (j += 1) {
if (arr[j] > arr[j + 1]) {
const temp = arr[j];
arr[j] = arr[j + 1];
arr[j + 1] = temp;
}
}
}
}
`
});
3. Generate Code
const result = await useMcpTool("zig", "generate_code", {
prompt: "Create a thread-safe counter struct",
context: "Should use atomic operations and handle overflow"
});
4. Get Recommendations
const result = await useMcpTool("zig", "get_recommendations", {
code: `
pub fn main() !void {
var list = std.ArrayList(u8).init(allocator);
var i: u32 = 0;
while (true) {
if (i >= 100) break;
try list.append(@intCast(u8, i));
i += 1;
}
}
`,
prompt: "performance"
});
Development
Project Structure
zig-mcp-server/
├── src/
│ └── index.ts # Main server implementation
├── build/ # Compiled JavaScript
├── package.json # Dependencies and scripts
└── tsconfig.json # TypeScript configuration
Building
# Development build with watch mode
npm run watch
# Production build
npm run build
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.