@msnidal
基本情報
Yellhorn offers MCP tools to publish detailed workplans as GitHub issues with entire-codebase reasoning and to review diffs against them
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"yellhorn-mcp": {
"command": "uv",
"args": [
"sync",
"--group",
"dev"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Yellhorn MCP is a Model Context Protocol server that creates detailed workplans for implementing tasks or features. It uses large AI models (e.g., Gemini 2.5 Pro, GPT‑5, o3, Grok‑4) with full codebase context, URL access, and optional web search. The server is designed for coding agents like Claude Code to define work, and later to review the output against the original requirements.
Install via uv sync --group dev or uv pip install yellhorn-mcp. Set environment variables GEMINI_API_KEY, OPENAI_API_KEY, XAI_API_KEY, REPO_PATH, and optionally YELLHORN_MCP_MODEL and YELLHORN_MCP_SEARCH. The GitHub CLI (gh) must be installed and authenticated. Configure the server in your MCP client (Codex CLI, VSCode/Cursor, or Claude Code) using a config.toml or mcp.json file with command uv run yellhorn-mcp.
.yellhornignore file to exclude files from AI contextIt supports Gemini (2.5‑pro, 2.5‑flash, 2.5‑flash‑lite), OpenAI (GPT‑4o, GPT‑4o‑mini, o4‑mini, o3, GPT‑4.1, GPT‑5 series), and xAI Grok (Grok‑4, Grok‑4 Fast) models. Deep Research models (o3‑deep‑research, o4‑mini‑deep‑research, GPT‑5) enable web search and code interpreter tools.
Create a `.yellhornignore` file in your repository, similar to `.gitignore`. The server also provides the `curate_context` tool to generate a `.yellhorncontext` whitelist that further reduces token usage.
You need API keys for the models you plan to use (Gemini, OpenAI, or xAI), the GitHub CLI (`gh`) installed and authenticated, and a Python environment managed by `uv`. The repository to analyze must be accessible via `REPO_PATH`.
Yes. Set the environment variable `YELLHORN_MCP_SEARCH` to `"off"` (default is `"on"` for Gemini models). You can also pass `disable_search_grounding: true` to individual tool calls.
The `judge_workplan` tool compares two git refs (base and head) against a workplan stored in a GitHub issue. It creates a sub‑issue, then asynchronously evaluates the diff with full codebase context and posts detailed feedback.
This MCP server provides integration with Gerrit code review system, allowing AI assistants to review code changes and their details through a simple interface.
MCP server for Atlassian tools (Confluence, Jira)
Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all through standard protocols (MCP and A2A).
MCP servers for the Atlassian products (Bitbucket, Confluence, JIRA) of the Data Center version
Yuque mcp server
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