Go-MCP is a Model Context Protocol (MCP) server that provides Go documentation and package listing capabilities to AI assistants.

What are the requirements to use Go-MCP?

You need Go 1.16 or later, a working Go environment with GOPATH configured, and access to the packages you want to document.

How does Go-MCP help AI assistants?

It allows AI systems to access official Go documentation and understand Go codebases more effectively by exposing Go's 'go doc' and 'go list' commands through MCP.

How do I see unexported symbols with go_doc?

Use the `-u` flag with the `go_doc` tool to include unexported symbols in the documentation retrieval.

What tools are available in Go-MCP?

Go-MCP provides two main tools: 'go_doc' for retrieving Go documentation and 'go_list' for listing available packages.

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Name: Go
Author: wricardo

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Enables AI assistants to access Go documentation and package listings via the Model Context Protocol.

Go provides a Model Context Protocol (MCP) server that empowers AI assistants with the ability to understand Go codebases more effectively. By exposing Go's documentation and package listing capabilities through MCP, AI systems can query official Go documentation using 'go doc' and list available packages in a Go module using 'go list'. This facilitates a deeper understanding of Go code and allows for more informed AI-driven development and analysis.

Key Features

01Supports querying documentation for packages, types, functions, or methods.

02Can see unexported symbols using `-u` flag

03Lists available packages in a Go module using the 'go list' command.

04Enables package listing with pattern matching (e.g., ['./...', 'github.com/user/repo/...']).

05Provides Go documentation access through the 'go doc' command.

06Offers optional command flags for more specific documentation retrieval (e.g., -all, -src, -u).

Use Cases

01Providing AI agents with the ability to dynamically retrieve information about Go packages and symbols.

02Enabling AI systems to understand and analyze Go codebases.

03Integrating Go documentation access into AI-powered code assistants.