AST2LLM for Go

Local AST-powered context enhancement tool for LLM

Automatically injects relevant code structure into your prompts using precise Go AST analysis.

Our MCP server provides the parse-go tool that:

1. Analyzes your Go project structure
2. Identifies external type declarations
3. Packages context for LLM prompts
4. Delivers 3-5x faster context resolution than grap-based approaches

For example, the demo above shows the model calling the tool to get the missing information about the fields of the MyDTO structure. In response, the model received all the necessary information from the response:

Used Imported Structs (from this project, if available):
  Struct: testme/dto.MyDTO
    Fields:
      - Foo string
      - Bar int

Note About Current State

This MCP server is under active development and may have stability issues or incomplete functionality. We're working hard to improve it, but you might encounter:

• Occasional parsing errors
• Limited type support in current version
• Performance bottlenecks with large codebases

Found an issue?
Open a GitHub Issue to help us improve! We appreciate all bug reports and feature requests.

Roadmap

Language Support

• Support for struct types
• Support for interface types
• Support for function types
• Support for global variables

Multi-file Context

• Analyze multiple open files simultaneously
• Cross-file dependency resolution
• Context-aware import optimization

AST Representation

• Improved type hierarchy visualization
• Research optimal AST representation for LLMs. Provide different output formats tailored to various scenarios like in repomix:
  • XML: For compatibility with traditional solutions akin to Repomix.
  • JSON: A modern format suitable for integration with contemporary tools and environments.
  • Markdown: An easily readable format ideal for quick viewing and documenting changes.

Performance

• Incremental parsing
• AST caching
• Parallel analysis

Requirements

• Go 1.22 or higher (if building from source)
• Supported MCP client (Cursor, Claude, VS Code, etc.)

Installation

Binaries

To install ast2llm-go on your system, run the following command in your terminal:

curl -LsSf https://raw.githubusercontent.com/ast2llm/ast2llm-go/main/install.sh | sh

This script will automatically detect your OS and architecture, download the appropriate binary, and attempt to add it to your PATH. You can also specify an installation directory:

curl -LsSf https://raw.githubusercontent.com/ast2llm/ast2llm-go/main/install.sh | sh -s -- --install-dir /usr/local/bin

Self-Update

To update ast2llm-go to the latest version, simply re-run the installation command:

curl -LsSf https://raw.githubusercontent.com/ast2llm/ast2llm-go/main/install.sh | sh

Uninstallation

To remove ast2llm-go from your system, run the uninstallation script:

curl -LsSf https://raw.githubusercontent.com/ast2llm/ast2llm-go/main/uninstall.sh | sh

This script will remove the binary, clean up PATH modifications, and delete related configuration files. You may need to restart your shell after uninstallation.

Setup in Clients

After installation ast2llm-go, you need to restart the IDE.

Cursor

Add to your ~/.cursor/mcp.json:

{
  "mcpServers": {
    "go-ast": {
      "command": "ast2llm-go",
      "args": []
    }
  }  
}

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "go-ast": {
      "command": "ast2llm-go"
    }
  }
}

Visual Studio Code

Add to your VS Code MCP config:

{
  "servers": {
    "go-ast": {
      "type": "stdio",
      "command": "ast2llm-go"
    }
  }
}