hloiseaufcms mcp gopls

hloiseaufcms mcp gopls avatar

by hloiseaufcms

What is hloiseaufcms mcp gopls

MCP LSP Go

A Model Context Protocol (MCP) server that allows AI assistants like Claude to interact with Go's Language Server Protocol (LSP) and benefit from advanced Go code analysis features.

Overview

This MCP server helps AI assistants to:

  • Use LSP to analyze Go code
  • Navigate to definitions and find references
  • Check code diagnostics
  • Get hover information for symbols
  • Get completion suggestions

Architecture

This project uses the mark3labs/mcp-go library to implement the Model Context Protocol. The MCP integration enables seamless communication between AI assistants and Go tools.

The server communicates with gopls, the official language server for Go, via the Language Server Protocol (LSP).

Features

  • LSP Integration: Connection to Go's Language Server Protocol for code analysis
  • Code Navigation: Finding definitions and references in the code
  • Code Quality: Getting diagnostics and errors
  • Advanced Information: Hover information and completion suggestions

Project Structure

.
├── cmd
│   └── mcp-gopls        # Application entry point
├── pkg
│   ├── lsp             # LSP client to communicate with gopls
│   │   ├── client      # LSP client implementation
│   │   └── protocol    # LSP protocol types and features
│   ├── server          # MCP server
│   └── tools           # MCP tools exposing LSP features

Installation

go install github.com/hloiseaufcms/mcp-gopls/cmd/mcp-gopls@latest

Add to Cursor

{
  "mcpServers": {
    "mcp-gopls": {
      "command": "mcp-gopls"
    }
  }
} 

MCP Tools

The MCP server provides the following tools:

Tool Description
go_to_definition Navigate to the definition of a symbol
find_references Find all references to a symbol
check_diagnostics Get diagnostics for a file
get_hover_info Get detailed information about a symbol
get_completion Get completion suggestions at a position
analyze_coverage Analyze test coverage for Go code

Usage Example

Using the server with AI assistants that support MCP:

# Ask the AI to get information about the code
Can you find the definition of the `ServeStdio` function in this project?

# Ask for diagnostics
Are there any errors in my main.go file?

# Ask for information about a symbol
What does the Context.WithTimeout function do in Go?

Development

git clone https://github.com/hloiseaufcms/mcp-gopls.git
cd mcp-gopls
go mod tidy
go build -o mcp-gopls cmd/mcp-gopls/main.go
./mcp-gopls

Prerequisites

  • Go 1.21 or higher
  • gopls installed (go install golang.org/x/tools/gopls@latest)

Integration with Ollama

This MCP server can be used with any tool that supports the MCP protocol. For Ollama integration:

  1. Make sure Ollama is running
  2. The MCP server runs independently and communicates through stdin/stdout
  3. Configure your client to use the MCP server as a tool provider

License

Apache License 2.0

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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