Gopher & Gemini MCP Server

Gopher & Gemini MCP Server

<!-- mcp-name: io.github.cameronrye/gopher-mcp -->

A modern, cross-platform Model Context Protocol (MCP) server that enables AI assistants to browse and interact with both Gopher protocol>) and Gemini protocol resources safely and efficiently.

Overview

The Gopher & Gemini MCP Server bridges vintage and modern alternative internet protocols with AI assistants, allowing LLMs like Claude to explore the unique content and communities that thrive on both Gopherspace and Geminispace. Built with FastMCP and modern Python practices, it provides secure, efficient gateways to these distinctive internet protocols.

Key Benefits:

• Discover alternative internet content - Access unique resources on both Gopher and Gemini protocols
• Safe exploration - Built-in security safeguards, TLS encryption, and content filtering
• Modern implementation - Uses FastMCP framework with async/await patterns
• Developer-friendly - Comprehensive testing, type hints, and documentation
• Advanced security - TOFU certificate validation and client certificate support for Gemini

Features

(1) and Index-Search servers (7) as structured menus, text (0), HTML (h), info (i) and error (3) lines as text, the fourteen binary types as metadata only, and the three interactive ones (2, 8, T) refused without opening a connection. The one standard type with no category of its own is + (redundant server), which names an alternate host for the preceding item rather than content to render; it takes the unknown-type path below. An unknown type is read as text, best-effort, and an hURL URL: selector is followed to the destination the server actually stated

• Dual Protocol Support: gopherfetch and geminifetch tools for comprehensive protocol coverage
• Comprehensive Gopher Support: Every standard RFC 1436 item type — menus

• Full Gemini Implementation: Native gemtext parsing, TLS security, and status code handling
• Advanced Security: TOFU certificate validation with dedicated inspection and recovery tools, scoped client certificates, and secure TLS connections
• Safety First: Built-in timeouts, size limits, input sanitization, SSRF protection, per-host rate limiting, and host allowlists
• LLM-Optimized: Returns structured JSON responses designed for AI consumption
• Cross-Platform: Works seamlessly on Windows, macOS, and Linux
• Modern Development: Full type checking, linting, testing, and CI/CD pipeline
• High Performance: Async/await patterns with intelligent caching — and cached results say so, with a per-request refresh bypass
• Continuable Reads: A menu or page cut at the render limit reports where it stops, so offset reads the rest instead of leaving a partial view

Protocols in scope

Shortened. The full README is on GitHub.