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Gopls Mcp for MCP

Gopls MCP: Go Semantic Analysis for AI Agents by Xieyuschen

  • Free
  • 4.3
  • V v1.0.4

Gopls MCP: Go Semantic Analysis for AI Agents by Xieyuschen

Gopls MCP, developed by Xieyuschen, is an MCP server built in Go. It extends compiler-grade semantic analysis of Go code to AI agents. This tool integrates with the official Go language server, gopls, to expose its core functionalities. It enables AI assistants to gain a deeper, deterministic understanding of Go projects, enhancing coding assistance. Gopls MCP supports various AI clients, providing essential language services for advanced development workflows.

What does Gopls MCP connect to?

Gopls MCP functions as an MCP server, specifically designed to connect to and wrap gopls, the official Go language server. This connection allows Gopls MCP to expose the advanced functionalities of gopls directly to AI assistants. Its primary role is to deliver compiler-grade semantic analysis for Go code, ensuring AI agents can accurately interpret and interact with Go projects. This integration provides a foundational layer for intelligent Go development assistance.

Core features and tools

The server exposes several callable tools to AI agents. These include go_definition, which precisely locates where any Go symbol is defined within a codebase. go_references, also known as go_symbol_references, helps discover all usage locations for a specific symbol. go_hover provides complete type information, function signatures, and associated documentation. Lastly, go_symbols enables workspace-wide analysis of all symbols, offering a broad overview of the project's structure and elements.

Who is it for?

Gopls MCP is intended for Go developers who utilize AI agents or Large Language Models for coding assistance. It is particularly valuable for those requiring deterministic and semantic understanding of their Go projects. The tool supports enhanced interactions with Go codebases, moving beyond simple pattern matching to deep structural analysis. This allows AI agents to provide more accurate and context-aware suggestions. Skip this if your development workflow does not involve AI agents requiring Go semantic analysis.

How to get started

No credentials are required for basic operation. However, the Model Context Protocol generally supports an authorization specification for HTTP transports, allowing the server to require and the client to send a token.

Use cases

  • Precise symbol lookup, such as finding the definition of an interface.
  • Complete reference tracking, like identifying all calls to a specific function across a codebase.
  • Obtaining rich type information, including function signatures and documentation.

Gopls MCP offers a specialized bridge for AI agents to interact with Go code at a compiler-grade semantic level. Developed by Xieyuschen, it wraps gopls to provide essential language services, enabling AI clients like Claude Code and Codex to offer more intelligent assistance. This tool is crucial for Go developers seeking precise code understanding from their AI partners.

  • Pros

    • Provides compiler-grade semantic analysis for Go.
    • Exposes gopls functionalities to AI agents.
    • Supports multiple AI clients and communication modes.
    • Enables deterministic understanding of Go projects.
  • Cons

    • Authentication model requires external configuration.
    • Relies on separate gopls installation.
    • Requires specific client configuration for AI agents.
Icon of program: Gopls Mcp

Gopls Mcp for MCP

  • Free
  • 4.3
  • V v1.0.4