Yellhorn MCP
Related Servers
Alternatives to Yellhorn MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceAn MCP server that integrates Google Gemini CLI with Claude Code for AI-powered development assistance, enabling code review, bug analysis, feature planning, and code explanation without requiring an API key.8MIT
- AlicenseNot gradedqualityDmaintenanceMCP server that enables Claude Code to interact with Google's Gemini API for code analysis, chat, and summarization tasks.95 npmMIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server that provides agentic code review powered by OpenAI-compatible models, designed for use with Claude Code.1MIT
- AlicenseNot gradedqualityCmaintenanceA lightweight MCP server that exposes Google Gemini as tools for Claude Code, enabling question answering, code analysis, multi-turn chat, and model listing.45 npmMIT
- AlicenseAqualityCmaintenanceAn MCP server that provides dynamic codebase context to Claude Code through tools like hybrid search, recent changes, and symbol definitions, enhancing AI-assisted coding with local RAG.8MIT
- AlicenseBqualityDmaintenanceA universal MCP server that provides AI-powered code review and analysis for any programming language using Google's Gemini CLI.61MIT
TDQS
Scored across 5 tools
Each tool has a distinct primary purpose: create_workplan initiates planning, curate_context manages codebase context, get_workplan retrieves plans, judge_workplan evaluates implementations, and revise_workplan updates plans. There is minor potential overlap between create_workplan and revise_workplan (both generate/update workplans), but their distinct triggers and descriptions help differentiate them effectively.
All tools follow a consistent verb_noun naming pattern (e.g., create_workplan, judge_workplan, revise_workplan). The verbs are clear and descriptive, and the snake_case style is uniformly applied across all five tools, making the set predictable and easy to navigate.
With 5 tools, the server is well-scoped for its purpose of managing AI-driven workplan creation and evaluation in GitHub contexts. Each tool serves a specific, necessary function in the workflow, from planning to context curation to judgement, without redundancy or bloat, fitting a typical range for focused MCP servers.
The tool set covers the core lifecycle of workplan management: creation (create_workplan), retrieval (get_workplan), revision (revise_workplan), and evaluation (judge_workplan), with context optimization (curate_context) as a supporting function. A minor gap exists in direct deletion or archiving of workplans, but agents can likely handle this through GitHub's native tools, and the coverage supports end-to-end workflows effectively.