AST2LLM for Go
A local AST-powered context enhancement tool for LLMs that analyzes Go project structure for faster context resolution.
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:
- Analyzes your Go project structure
- Identifies external type declarations
- Packages context for LLM prompts
- 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
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"
}
}
}
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
Contributing
We welcome contributions! Here's how you can help:
-
Report Bugs
- Open an issue with a clear description
- Include steps to reproduce
- Add relevant logs/screenshots
-
Suggest Features
- Open an issue with the feature request
- Explain the use case and benefits
- Include any relevant examples
-
Submit Pull Requests
- Fork the repository
- Create a feature branch
- Add tests for new functionality
- Ensure all tests pass
- Submit a PR with a clear description
Servidores relacionados
Alpha Vantage MCP Server
patrocinadorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Drupal Tools
A server providing resources, tools, and prompts for Drupal development.
Vibetest Use
A browser-agent QA swarm with an MCP interface for testing AI-generated websites.
Jira Context MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor.
Klever VM
MCP server for [Klever](https://klever.org) blockchain smart contract development, on-chain data exploration, and VM interaction. Public remote server available at `https://mcp.klever.org/mcp`.
Vibes
Transforms Claude Desktop into a conversational development environment using distributed MCP servers.
kemdiCode MCP
kemdiCode MCP is a Model Context Protocol server that gives AI agents and IDE assistants access to 124 specialized tools for code analysis, generation, git operations, file management, AST-aware editing, project memory, cognition & self-improvement, multi-board kanban, and multi-agent coordination.
Zaim API
A server template for interacting with APIs that require an API key, using the Zaim API as an example.
go-mcp実験場
A Go-based MCP server example demonstrating correct usage of go.mod and build/run commands.
HiGHS MCP Server
Provides linear programming (LP) and mixed-integer programming (MIP) optimization capabilities using the HiGHS solver.
RepoRecall
Zero-tool-call codebase intelligence for Claude Code and MCP clients. Automatically injects the right code context, functions, callers, and call chains, before the LLM starts thinking. Replaces 4-6 grep/read round-trips with a single 5ms hook injection, cutting token usage by 3-8x.