openSVM_zig-mcp-server

openSVM_zig-mcp-server

3.1
developer_tools

If you are the rightful owner of openSVM_zig-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A Model Context Protocol (MCP) server that provides Zig language tooling, code analysis, and documentation access.

The Zig MCP Server is designed to enhance AI capabilities with Zig-specific functionality. It offers tools for code optimization, compute unit estimation, code generation, and best practices recommendations. This server is particularly useful for developers working with the Zig programming language, providing them with advanced tools to improve code quality, performance, and maintainability. By integrating with the MCP framework, the server allows seamless interaction with other tools and platforms, making it a versatile choice for Zig developers. The server also provides access to comprehensive resources such as language references, standard library documentation, and popular repositories, ensuring that developers have all the information they need at their fingertips.

Features

  • Code Optimization: Analyzes and optimizes Zig code with support for different optimization levels: Debug, ReleaseSafe, ReleaseFast, ReleaseSmall.
  • Compute Units Estimation: Estimates computational complexity and resource usage of Zig code, including memory usage analysis and time complexity estimation.
  • Code Generation: Generates Zig code from natural language descriptions with support for error handling, testing, performance optimizations, and documentation.
  • Code Recommendations: Provides code improvement recommendations and best practices, including style and conventions, design patterns, safety considerations, and performance insights.

Tools

  1. optimize_code

    Tool for optimizing Zig code with various optimization levels.

  2. estimate_compute_units

    Tool for estimating computational complexity and resource usage of Zig code.

  3. generate_code

    Tool for generating Zig code from natural language descriptions.

  4. get_recommendations

    Tool for providing code improvement recommendations and best practices.

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