ClarifyPrompt MCP is an MCP server that transforms vague prompts into platform-optimized prompts for over 58 AI platforms across 7 categories, allowing for custom platform registration and markdown instruction files.
From the registry: AI prompt optimization for 58+ platforms across 7 categories with custom platforms
Please install the `clarifyprompt` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **An OpenAI-compatible LLM endpoint** — Local Ollama, OpenAI, Anthropic, or any OpenAI-compatible LLM
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","clarifyprompt-mcp"]
- required environment variables:
- `LLM_API_URL`: API endpoint URL for the optimizing LLM (example: `<your-llm-api-url>`)
- `LLM_MODEL`: Model ID/name (example: `qwen2.5:7b`)
- optional environment variables:
- `LLM_API_KEY`: API key (not needed for local Ollama) (example: `<your-llm-api-key>`)
- `CLARIFYPROMPT_CONFIG_DIR`: Custom config directory (default ~/.clarifyprompt/) (example: `~/.clarifyprompt/`)
- `SEARCH_PROVIDER`: Web search provider (tavily, brave, serper, serpapi, exa, searxng) (example: `tavily`)
- `SEARCH_API_KEY`: API key for the web search provider (example: `<your-search-api-key>`)
Note: Optimizes prompts for 58+ AI platforms. Uses an OpenAI-compatible LLM under the hood.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.LLM_API_URLrequiredAPI endpoint URLLLM_MODELrequiredModel name/IDAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.