Gemini SuperClaude MCP Server
Related Servers
Alternatives to Gemini SuperClaude MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseCqualityDmaintenanceBrings all SuperClaude features to Gemini CLI, enabling advanced coding assistance, persona switching, and token optimization.207 npm4MIT
- FlicenseNot gradedqualityCmaintenanceBridges Google's Gemini CLI with MCP-compatible clients and integrates OpenRouter API for access to 400+ AI models. Provides 33 specialized tools enabling multi-AI workflows, collaborations, and debates between Claude, Gemini, and other LLMs.142-
- FlicenseNot gradedqualityCmaintenanceAn autonomous AI development agent that enables full-stack coding, automated verification, RAG-powered code search, and quality assurance through MCP tools. Supports Gemini CLI, Claude Code CLI, with features like parallel verification, security scanning, and spec-driven development.5-
- AlicenseAqualityDmaintenanceIntegrates the local gemini CLI tool with Claude Code, allowing Claude to execute Gemini AI queries via the MCP protocol.110 npm1MIT
- AlicenseBqualityDmaintenanceEnables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.4MIT
- AlicenseBqualityFmaintenanceEnables orchestrating multiple AI CLI agents (Claude Code, Codex, Gemini CLI, Copilot CLI) through a unified MCP interface for task delegation, cross-agent comparison, and specialized tools like code review and debugging.144 npm14MIT
TDQS
Scored across 22 tools
The tools cover a wide range of distinct functionalities (analysis, development, planning, operations, etc.), and their descriptions clearly differentiate between them. However, there is minor overlap between some tools like 'improve' and 'cleanup', and 'reflect' and 'analyze' could be confused, but overall an agent can distinguish them.
All tools use the 'sc:' prefix and lowercase with hyphens for multi-word names, which is consistent. However, the pattern mixes verbs (analyze, build, test) and nouns (cleanup, git, task), lacking a uniform verb_noun structure. This inconsistency can be slightly confusing but still readable.
With 22 tools, the server is quite extensive for a single MCP server. While each tool serves a distinct purpose, the sheer number may be overwhelming and borderline excessive for typical use cases. A more focused set might be better.
The tool set covers a broad range of project lifecycle needs: analysis, planning, implementation, testing, documentation, maintenance, and session management. Minor gaps exist (e.g., no deployment or configuration management), but overall it provides a comprehensive suite for software development assistance.