system-prompts-mcp-server

by jamesanz

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About

Model Context Protocol server exposing system prompt files and summaries.

Details

Author
jamesanz
Categories
Productivity, Other, Knowledge Base

Setup

Install system-prompts-mcp-server in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/jamesanz/system-prompts-mcp-server

Follow the installation instructions in the repository README, then restart your MCP client.

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.

AnMCP (Model Context Protocol)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.

- πŸ”Automatic Discovery– Every prompt inprompts/is automatically exposed as an MCP tool
- 🎯Model-Aware Suggestions– Get prompt recommendations based on your LLM (Claude, GPT, Gemini, etc.)
- πŸ“šComprehensive Collection– Access prompts from Devin, Cursor, Claude, GPT, and more
- πŸš€Easy Setup– One-click install in Cursor or simple manual setup
- πŸ”§Extensible– Add your own prompts and they're automatically available

Ready to explore system prompts? Install in seconds:

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

- 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)

- Scansprompts/directory for.txt,.md,.yaml,.yml,.jsonfiles
- Each file becomes a dedicated MCP tool
- Infers metadata (service, variant, LLM family, persona hints)

- Each tool call includes a reminder for the model to embody the loaded prompt
- Helps models behave like the original service (Devin, Cursor, etc.)

cursor://anysphere.cursor-deeplink/mcp/install?name=system-prompts-mcp&config=eyJzeXN0ZW0tcHJvbXB0cy1tY3AiOnsiY29tbWFuZCI6Im5weCIsImFyZ3MiOlsiLXkiLCJzeXN0ZW0tcHJvbXB0cy1tY3Atc2VydmVyIl19fQ==
# 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

macOS:~/Library/Application Support/Claude/claude_desktop_config.json
Windows:%APPDATA%\Claude\claude_desktop_config.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.

{ "tool": "list_prompts", "arguments": { "service": "cursor", "flavor": "system", "limit": 10 } }

Find the best prompt for your LLM and use case:

{ "tool": "get_prompt_suggestion", "arguments": { "userLlm": "claude-3.5-sonnet", "keywords": ["code", "pair programming"] } }

Call a prompt directly by its tool name:

{ "tool": "cursor-agent-system", "arguments": {} }
{ "tool": "cursor-agent-system", "arguments": { "format": "json" } }

Add prompts by placing files in theprompts/directory:

Supported formats:.txt,.md,.yaml,.yml,.json

prompts/My Service/ β”œβ”€β”€ System Prompt.txt β†’ Tool: "my-service-system-prompt-system" └── tools.json β†’ 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. Uselist_promptsto find your custom prompts.

Custom directory:SetPROMPT_LIBRARY_ROOTenvironment variable to use a different location.

- 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

Built with:Node.js, TypeScript, MCP SDK
Dependencies:@modelcontextprotocol/sdk,zod
Platforms:macOS, Windows, Linux

- PROMPT_LIBRARY_ROOT(optional): Override prompt root directory (defaults toprompts/)

- src/– TypeScript MCP server implementation
- dist/– Compiled JavaScript
- prompts/– Prompt library and original documentation

⭐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.

See the original repository for license information.

If you find this project useful, consider supporting it:

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