Zig MCP Server
Zig MCP servers enable AI models to interact with Zig projects, providing capabilities for build system management, code optimization, and code generation.
Overview
The Zig MCP Server is a powerful Model Context Protocol (MCP) server that provides comprehensive Zig language assistance, including modern build system support, code optimization, and best practices guidance. It enhances AI capabilities with Zig-specific functionality like code optimization, compute unit estimation, and code generation.
Developed by:
Developed by openSVM
Key Features
Modern Build System Support
Generate and analyze build.zig files with Zig 0.12+ patterns
Code Optimization
Enhanced with modern Zig patterns and build mode analysis
Code Generation
Generates Zig code from natural language descriptions
Compute Units Estimation
Estimates computational complexity and resource usage of Zig code
Available Tools
Quick Reference
| Tool | Purpose | Category |
|---|---|---|
generate_build_zig | Generate build.zig files | Build System |
analyze_build_zig | Analyze existing build.zig files | Build System |
generate_build_zon | Generate build.zig.zon files | Dependency Management |
optimize_code | Optimize Zig code | Code Analysis |
estimate_compute_units | Estimate code complexity and resource usage | Code Analysis |
generate_code | Generate Zig code from natural language | Code Generation |
get_recommendations | Provide code improvement recommendations | Best Practices |
Detailed Usage
generate_build_zig▶
Generate modern build.zig files with Zig 0.12+ patterns.
use_mcp_tool({
server_name: "zig",
tool_name: "generate_build_zig",
arguments: {
projectName: "my_zig_project",
target: "native",
dependencies: ["zlib", "sdl"]
}
});
optimize_code▶
Optimize Zig code with modern Zig patterns and build mode analysis.
use_mcp_tool({
server_name: "zig",
tool_name: "optimize_code",
arguments: {
code: "const std = @import(\"std\");\n...",
optimizationLevel: "ReleaseFast"
}
});
estimate_compute_units▶
Estimates computational complexity and resource usage of Zig code.
use_mcp_tool({
server_name: "zig",
tool_name: "estimate_compute_units",
arguments: {
code: "const std = @import(\"std\");\n..."
}
});
generate_code▶
Generates Zig code from natural language descriptions.
use_mcp_tool({
server_name: "zig",
tool_name: "generate_code",
arguments: {
prompt: "Create a function that sorts an array of integers",
context: "Should handle empty arrays and use comptime when possible"
}
});
Installation
{
"mcpServers": {
"zig": {
"command": "node",
"args": [
"/path/to/zig-mcp-server/build/index.js"
],
"env": {
"GITHUB_TOKEN": "your_github_token",
"NODE_OPTIONS": "--experimental-vm-modules"
},
"restart": true
}
}
}
GitHub Token:
Create a GitHub token with public_repo scope for better API rate limits.
Sources
Related Articles
Airtable MCP Server
Airtable MCP servers enable AI models to interact with Airtable bases, providing capabilities for base management, record operations, field configuration, and structured data automation.
MCP Implementation Guide
A comprehensive guide to implementing and configuring Model Context Protocol (MCP) servers
Content and Media MCP Servers
Explore seamless integration with leading content management systems, media processing tools, and digital asset management platforms through our Content & Media category. These integrations enable robust content creation, media processing, and asset management for your AI-powered applications.