system-prompts-mcp-server

# 📝 System Prompts MCP Server > **Access system prompts from AI tools in your workflow.** Browse and fetch prompts from Devin, Cursor, Claude, GPT, and more. Model-aware suggestions help you find the perfect prompt for your LLM. An [MCP (Model Context Protocol)](https://modelcontextprotocol.io) server that exposes a collection of system prompts, summaries, and tool definitions from popular AI tools as MCP tools for AI coding environments like Cursor and Claude Desktop. ## Why Use System Prompts MCP? - 🔍 **Automatic Discovery** – Every prompt in `prompts/` is automatically exposed as an MCP tool - 🎯 **Model-Aware Suggestions** – Get prompt recommendations based on your LLM (Claude, GPT, Gemini, etc.) - 📚 **Comprehensive Collection** – Access prompts from Devin, Cursor, Claude, GPT, and more - 🚀 **Easy Setup** – One-click install in Cursor or simple manual setup - 🔧 **Extensible** – Add your own prompts and they're automatically available ## Quick Start Ready to explore system prompts? Install in seconds: **Install in Cursor (Recommended):** [🔗 Install in Cursor](cursor://anysphere.cursor-deeplink/mcp/install?name=system-prompts-mcp&config=eyJzeXN0ZW0tcHJvbXB0cy1tY3AiOnsiY29tbWFuZCI6Im5weCIsImFyZ3MiOlsiLXkiLCJzeXN0ZW0tcHJvbXB0cy1tY3Atc2VydmVyIl19fQ==) **Or install manually:** ```bash npm install -g system-prompts-mcp-server # Or from source: git clone https://github.com/JamesANZ/system-prompts-and-models-of-ai-tools.git cd system-prompts-and-models-of-ai-tools && npm install && npm run build ``` ## Features ### Core Tools - **`list_prompts`** – Browse available prompts with filters (service, flavor, provider) - **`get_prompt_suggestion`** – Get ranked prompt suggestions for your LLM and keywords - **`<service>-<variant>-<flavor>`** – Direct access to any prompt (e.g., `cursor-agent-system`, `devin-summary`) ### Automatic Discovery - Scans `prompts/` directory for `.txt`, `.md`, `.yaml`, `.yml`, `.json` files - Each file becomes a dedicated MCP tool - Infers metadata (service, variant, LLM family, persona hints) ### Persona Activation - Each tool call includes a reminder for the model to embody the loaded prompt - Helps models behave like the original service (Devin, Cursor, etc.) ## Installation ### Cursor (One-Click) Click the install link above or use: ``` cursor://anysphere.cursor-deeplink/mcp/install?name=system-prompts-mcp&config=eyJzeXN0ZW0tcHJvbXB0cy1tY3AiOnsiY29tbWFuZCI6Im5weCIsImFyZ3MiOlsiLXkiLCJzeXN0ZW0tcHJvbXB0cy1tY3Atc2VydmVyIl19fQ== ``` ### Manual Installation **Requirements:** Node.js 18+ and npm ```bash # Clone and build git clone https://github.com/JamesANZ/system-prompts-and-models-of-ai-tools.git cd system-prompts-and-models-of-ai-tools npm install npm run build # Run server npm start ``` ### Claude Desktop Add to `claude_desktop_config.json`: **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` ```json { "mcpServers": { "system-prompts-mcp": { "command": "node", "args": ["/absolute/path/to/system-prompts-and-models-of-ai-tools/dist/index.js"], "env": { "PROMPT_LIBRARY_ROOT": "/absolute/path/to/system-prompts-and-models-of-ai-tools/prompts" } } } } ``` Restart Claude Desktop after configuration. ## Usage Examples ### List Available Prompts Browse prompts with optional filters: ```json { "tool": "list_prompts", "arguments": { "service": "cursor", "flavor": "system", "limit": 10 } } ``` ### Get Prompt Suggestions Find the best prompt for your LLM and use case: ```json { "tool": "get_prompt_suggestion", "arguments": { "userLlm": "claude-3.5-sonnet", "keywords": ["code", "pair programming"] } } ``` ### Access a Specific Prompt Call a prompt directly by its tool name: ```json { "tool": "cursor-agent-system", "arguments": {} } ``` Get structured metadata only: ```json { "tool": "cursor-agent-system", "arguments": { "format": "json" } } ``` ## Adding Your Own Prompts Add prompts by placing files in the `prompts/` directory: **Supported formats:** `.txt`, `.md`, `.yaml`, `.yml`, `.json` **Directory structure:** ``` prompts/My Service/ ├── System Prompt.txt → Tool: "my-service-system-prompt-system" └── tools.json → Tool: "my-service-tools-tools" ``` - Directory names become the service name - File names create tool variants - Files are automatically classified as system prompts, tools, or summaries After adding prompts, restart the MCP server. Use `list_prompts` to find your custom prompts. **Custom directory:** Set `PROMPT_LIBRARY_ROOT` environment variable to use a different location. ## Use Cases - **AI Tool Developers** – Reference and adapt prompts from successful AI tools - **Researchers** – Study how different tools structure their system prompts - **Developers** – Find the perfect prompt for your LLM and use case - **Prompt Engineers** – Compare and learn from proven prompt patterns ## Technical Details **Built with:** Node.js, TypeScript, MCP SDK **Dependencies:** `@modelcontextprotocol/sdk`, `zod` **Platforms:** macOS, Windows, Linux **Environment Variables:** - `PROMPT_LIBRARY_ROOT` (optional): Override prompt root directory (defaults to `prompts/`) **Project Structure:** - `src/` – TypeScript MCP server implementation - `dist/` – Compiled JavaScript - `prompts/` – Prompt library and original documentation ## Contributing ⭐ **If this project helps you, please star it on GitHub!** ⭐ Contributions welcome! Feel free to adapt the discovery logic, add tests, or extend metadata inference for new prompt formats. ## License See the original repository for license information. ## Support If you find this project useful, consider supporting it: **⚡ Lightning Network** ``` lnbc1pjhhsqepp5mjgwnvg0z53shm22hfe9us289lnaqkwv8rn2s0rtekg5vvj56xnqdqqcqzzsxqyz5vqsp5gu6vh9hyp94c7t3tkpqrp2r059t4vrw7ps78a4n0a2u52678c7yq9qyyssq7zcferywka50wcy75skjfrdrk930cuyx24rg55cwfuzxs49rc9c53mpz6zug5y2544pt8y9jflnq0ltlha26ed846jh0y7n4gm8jd3qqaautqa ``` **₿ Bitcoin**: [bc1ptzvr93pn959xq4et6sqzpfnkk2args22ewv5u2th4ps7hshfaqrshe0xtp](https://mempool.space/address/bc1ptzvr93pn959xq4et6sqzpfnkk2args22ewv5u2th4ps7hshfaqrshe0xtp) **Ξ Ethereum/EVM**: [0x42ea529282DDE0AA87B42d9E83316eb23FE62c3f](https://etherscan.io/address/0x42ea529282DDE0AA87B42d9E83316eb23FE62c3f)