MCP server for reusable prompt templates, multi-step workflow chains, and quality gates. Compose agentic workflows with an operator syntax; export as native skills to Claude Code, Cursor, OpenCode, and Gemini CLI.
Official descriptionlow context | | Client-native skill format | Author once as YAML, export to any client with skills:export | | Manual prompt writing | Versioned templates with hot-reload, rollback, and history | | Trust the output | Validate output between steps: self-evaluation and shell commands | Is this for me?
Config template (adjust for your client)
claude mcp add claude-prompts-mcp -- npx -y claude-prompts-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
188 ★ · minipuft/claude-prompts-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 188 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository minipuft/claude-prompts-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
**The portable workflow layer beside your AI coding harness.** Your client executes with its own tools, agents, and context. Claude Prompts adds reusable prompt resources, composable chains, validation gates, and client-native skill export. Quick Start · What You Get · Compose Workflows · Run Anywhere · Docs What your AI client gives you — and what this server adds | Your client already does | This server adds | | -------------------------- | ------------------------------------------------------------------------------------- | | Run a prompt | Compose prompts with validation, reasoning guidance, and formatting in one expression | | Single-shot skills | Multi-step workflows that thread context between steps | | Execute subagents | Hand off mid-chain steps to agents with full workflow context | | Client-native skill format | Author once as YAML, export to any client with skills:export | | Manual prompt writing | Versioned templates with hot-reload, rollback, and history | | Trust the output | Validate output between steps: self-evaluation and shell commands | Is this for me? - **Use this if** you write the same prompts repeatedly, run multi-step workflows, or want to share reusable prompts with a team. - **Skip if** your client's built-in /commands already handle what you need, or you're looking for a no-code prompt library. - **Works with** Claude Code, Claude Desktop, Cursor, OpenCode, Gemini CLI, Codex, Windsurf, and Zed. Plugin installers add hooks (chain tracking, gate enforcement, state preservation) for Claude Code, OpenCode, Gemini CLI, and Codex (experimental); other clients run MCP-only. --- Quick Start Claude Code (Recommended) Development setup Load plugin from local source for development: Edit hooks/prompts → restart Claude Code. Edit TypeScript → rebuild first. Codex (Experimental) Codex hooks require Codex CLI 0.117 or later and are unavailable on Windows. See the codex-prompts requirements for Python and Node.js prerequisites. Enable hooks in ~/.codex/config.toml: Then install the plugin: Restart Codex, run /hooks to review the plugin hooks, then try >>tech_evaluation_chain library:'zod' context:'API validation'. --- More Client Setups Claude Desktop **Option A: GitHub Release** (recommended) 1. Download claude-prompts-{version}.mcpb from Releases 2. Drag into Claude Desktop Settings → MCP Servers 3. Done The .mcpb bundle is self-contained (~5MB); no npm required. **Option B: NPX** (auto-updates) Add to your config file: - macOS: ~/Library/Application Support/Claude/claude_desktop_config.json - Windows: %APPDATA%\Claude\claude_desktop_config.json Restart Claude Desktop and test: >>research_chain topic:'remote team policies' Other clients : VS Code · Cursor · OpenCode · Gemini CLI · Windsurf · Zed · From Source **Client setup:** VS Code, Cursor, and other MCP-only clients use the manual configuration guide below. **Plugin installers** (recommended where available; adds hooks): **Manual config** for VS Code, Cursor, OpenCode (no hooks), Gemini CLI (no hooks), Codex (no plugin hooks), Windsurf, and Zed: see Client Integration Guide for per-client config locations, JSON examples, and --client preset matrix. Client Capabilities Reference covers profile mapping and limits. **From source** (developers): Point your MCP config to server/dist/index.js. Transport: --transport=stdio (default) or --transport=streamable-http. **Custom resources**: --init=~/my-prompts scaffolds a starter workspace: three example prompts plus config.jsonc. Edit them (YAML schema), or have your AI author new prompts, gates, and frameworks via resource_manager. Point MCP_RESOURCES_PATH at an existing workspace if you already have one in the right shape. See Custom Resources Guide. --- What You Get Four primitives you author, version, and compose. The bundled set ships 52 prompts across 9 categories — a starting library, not the ceiling: your AI writes new prompts and chains through resource_manager as it works, so the set grows around what you actually do. All hot-reloadable, all versioned with rollback.