What is the Yokai MCP Template?
It is a server template based on the Yokai Go framework, focusing on modular design and observability for building MCP servers.
@Suraj1245
基本情報
MCP server template based on the Yokai Go framework.
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。
It is a server template based on the Yokai Go framework, designed to help developers build modular and observable MCP servers with dependency injection.
Clone the repository, run go mod tidy to install dependencies, then go build and execute the binary ./yokai-mcp-template. Configuration is done via the config/config.yaml file.
It is a server template based on the Yokai Go framework, focusing on modular design and observability for building MCP servers.
Clone the repository, run `go mod tidy`, `go build`, then execute the binary `./yokai-mcp-template`. Configuration is done via `config/config.yaml`.
It uses the Yokai Go framework, OpenTelemetry for observability, and standard Go modules. Go must be installed to build and run.
Modify `config/config.yaml` to set the server port, logging level, and other parameters. You can also add custom modules in the `internal/` directory.
Visit the Releases section on the GitHub repository to download and execute the latest release.
TestMu AI MCP Server lets developers run, debug, and triage tests through natural language directly from their IDE (Cursor, Claude, GitHub Copilot, and other MCP clients). It exposes five tools — HyperExecute (test orche


Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

Know when your AI agents, cron jobs and CI pipelines fail, stall or go quiet. Your agent sets up monitors from a plain description, tells you what is broken and why, reads run history and traces, and writes notes on inci

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation
コメント