mcp-probe-kit
一个强大的 MCP (Model Context Protocol) 服务器,提20个实用工具,覆盖代码质量、开发效率、项目管理、生成skills文档全流程。
claude mcp add --transport stdio mybolide-mcp-probe-kit npx -y mcp-probe-kit
How to use
mcp-probe-kit is a comprehensive MCP server that provides 21 tools spanning the entire development lifecycle, from product analysis to final release. It emphasizes structured, machine-readable output to facilitate tool chaining and state tracking, with both orchestration and atomic tools designed to return JSON metadata, plans, and artifacts. Core orchestration tools like start_feature, start_bugfix, start_onboard, start_ui, start_product, and start_ralph enable one-click, multi-tool workflows that automatically coordinate analysis, design, estimation, and implementation steps. The toolkit is compatible with major MCP clients and includes a delegated orchestration flow where AI calls tools step-by-step and persists files, guided by a structured plan in structuredContent.metadata.plan. When you run the server, you gain access to all 21 tools (e.g., code_review, fix_bug, gentest, init_project, add_feature, ui_design_system, sync_ui_data, and more) and their ability to emit structured outputs that can be chained into a larger automation pipeline.
How to install
Prerequisites:
- Node.js (v18 or newer) and npm installed on your system
- Basic familiarity with running MCP servers via npx or package runners
Installation steps:
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Ensure Node.js and npm are installed. Verify with: node -v npm -v
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Install or run the MCP server using NPX (recommended for quick start): npx -y mcp-probe-kit
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Alternatively install globally (optional): npm install -g mcp-probe-kit Then run with: mcp-probe-kit
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If you need to install via package manager and pin a version, you can also run: npm i -g mcp-probe-kit@<version>
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Verify the server is running by checking the console output or visiting the configured MCP client connection endpoint as documented in the project docs.
Additional notes
Tips and common issues:
- Use the delegated orchestration mode by default; ensure your client supports the plan-based workflow and that you persist outputs as the plan dictates.
- The server outputs structuredContent with artifacts and metadata.plan for start_* tools; use these to chain tools in an automated pipeline.
- If you encounter permission errors with NPX, try using a local npm cache or run with elevated permissions where appropriate.
- Keep your environment variables in sync with your deployment environment if using CI/CD; typical vars are not strictly required for local runs but may be necessary in production.
- Refer to the 21-tool list in the docs to understand which tools are available and how to compose multi-step workflows (e.g., init_project, add_feature, interview, ui_design_system, gentest).
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