System Prompts MCP Server

Expose the prompt collection in this repository as a Model Context Protocol (MCP) server. Each prompt, summary, or tool definition maps to a dedicated MCP tool so your client can fetch the exact configuration it needs (e.g. Devin system prompt, Cursor summary) on demand.

The original prompt archive README now lives under prompts/README.md.

Features

Automatic discovery – every text/yaml/json prompt in prompts/ (or any directory you point to) is scanned and exposed as an MCP tool.
Model-aware suggestions – get_prompt_suggestion ranks prompts against the LLM you’re using (Claude, GPT, Gemini, etc.) and the keywords you provide.
Quick browsing – list_prompts filters by service, flavor (summary, system, tools), or provider hints.
Persona activation – each tool call includes a reminder for the model to embody the loaded prompt so it behaves like the original service.
Structured responses – tool calls return both raw file contents and metadata (service, variant, path, inferred LLM family, persona hint).

Project Layout

src/ – TypeScript MCP server implementation
- index.ts registers tools (list_prompts, get_prompt_suggestion, plus one tool per prompt file)
- config/prompts.ts discovers prompt files and infers metadata
- lib/ helpers for slugging, LLM detection, and ranking
dist/ – compiled JavaScript (created by the build step)
prompts/ – full prompt library and original documentation

Getting Started

npm install npm run build

npm install automatically registers this server with Claude Desktop (if present) by updating ~/Library/Application Support/Claude/claude_desktop_config.json. You can opt out by removing the postinstall script from package.json.

Start the server on stdio (suitable for Claude Desktop, Cursor MCP, etc.):

npm run start

Run in watch/dev mode:

npm run dev

Environment variables

PROMPT_LIBRARY_ROOT (optional) – override the prompt root. If unset, the server automatically prefers prompts/ (when available) and falls back to the repository root.

MCP Tools

Tool	Description
`list_prompts`	Lists available prompts with optional filters ( `service` , `flavor` , `provider` , `limit` ).
`get_prompt_suggestion`	Suggests the best prompt for a given LLM/service/keywords, returning ranked alternatives.
`<service>-<variant>-<flavor>`	One tool per prompt resource (e.g. `cursor-agent-system` or `devin-summary` ). Returns the file contents plus a persona activation hint.

Example:

// Call list_prompts with filters { "name": "list_prompts", "arguments": { "service": "cursor", "flavor": "system" }, }

// Ask for a suggestion tailored to Claude { "name": "get_prompt_suggestion", "arguments": { "userLlm": "claude-3.5-sonnet", "keywords": ["code", "pair programming"], }, }

Once you have a tool name (e.g. cursor-agent-system), call it with optional format: "json" to receive structured metadata only.

Claude Desktop Integration

Add the server to ~/Library/Application Support/Claude/claude_desktop_config.json:

"system-prompts-mcp": { "command": "/Users/<you>/.nvm/versions/node/v22.17.0/bin/node", "args": [ "/Users/<you>/Documents/projects/system-prompts-and-models-of-ai-tools/dist/index.js" ], "env": { "PROMPT_LIBRARY_ROOT": "/Users/<you>/Documents/projects/system-prompts-and-models-of-ai-tools/prompts" } }

Restart Claude Desktop to load the new MCP server, then ask for prompts by name or use the suggestion tool.

Development

npm run dev – run with ts-node for quick iteration
npm run lint – type-check without emitting files

Contributions welcome—feel free to adapt the discovery logic, add tests, or extend metadata inference for new prompt formats.

Donate

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