GopherMCP

GopherMCP – A Go‑Focused Model Context Protocol Server

is a lightweight MCP server that exposes the complete Go documentation for any package directly to AI assistants. By acting as an authoritative source of type information, API signatures, and usage examples, it removes the need for large language models to rely on potentially stale or incomplete training data when assisting with Go code. This capability is especially valuable for developers who use AI tools to write, refactor, or debug Go code in real time.

The server runs a simple HTTP endpoint that implements the MCP schema, returning structured JSON objects containing package documentation, function signatures, and related metadata. Clients such as Claude or Cursor can query the server for any import path, receive up‑to‑date documentation, and embed that information into prompts or tool calls. The result is a seamless workflow where the AI can ask for “the definition of ” and immediately get the current official documentation, ensuring that suggestions and code edits are accurate and aligned with the latest Go release.

Key features of GopherMCP include:

• On‑demand documentation lookup – Query any Go package by import path and receive the latest API surface.
• Rich, structured responses – Documentation is returned in a format that preserves code examples, parameter lists, and return types, making it easy for downstream tooling to parse.
• Zero‑dependency runtime – Written in Go, the server requires no external services and can be deployed locally or in a CI environment.
• Extensible foundation – The architecture is designed to support additional tools (e.g., static analysis, linting) in the future, allowing a single MCP server to become a hub for Go‑centric AI workflows.

In practice, developers can integrate GopherMCP into IDE extensions or chat‑based assistants. For example, while editing a Go file in VS Code, an AI helper can automatically fetch the latest documentation for a referenced type and suggest relevant methods. In continuous integration pipelines, the server can provide up‑to‑date API references for automated code reviews or generation tasks. By keeping the AI’s knowledge aligned with the current Go ecosystem, GopherMCP reduces bugs caused by outdated assumptions and accelerates development cycles.

Overall, GopherMCP offers a focused, high‑quality bridge between Go’s official documentation and AI assistants. Its simplicity, extensibility, and precise alignment with the Go toolchain make it a standout choice for developers looking to embed reliable, real‑time code knowledge into their AI workflows.