prompt-optimizer
An AI prompt optimizer for writing better prompts and getting better AI results.
The prompt-optimizer MCP server enables AI applications to access intelligent prompt optimization capabilities through the Model Context Protocol. It provides tools for refining both user and system prompts to improve LLM output quality, with support for iterative refinement based on specific requirements. The server integrates with Claude Desktop and other MCP-compatible clients, allowing developers to optimize prompts directly within their AI workflow. It requires API keys for underlying LLM providers like OpenAI, Gemini, or DeepSeek to power the optimization process.
Key Features
Use Cases
- 01Refining prompts in Claude Desktop to improve response accuracy and relevance
- 02Iteratively improving production prompts based on specific business requirements
- 03Optimizing system prompts for custom AI assistants and chatbots
- 04Testing prompt variations with context variables before deployment
- 05Converting vague user instructions into structured, effective prompts
- 06Evaluating prompt quality through analysis and comparison tools
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prompt-optimizer — FAQ
What is the prompt-optimizer MCP server?+
It's an MCP server that provides prompt optimization tools to AI applications through the Model Context Protocol. The server uses various LLM providers to intelligently refine and improve both user and system prompts for better AI outputs.
How do I install the prompt-optimizer MCP server?+
Deploy it using Docker with the linshen/prompt-optimizer image, configure your API keys via environment variables, then add the MCP endpoint (http://localhost:8081/mcp) to your Claude Desktop or other MCP client's configuration file.
Which AI clients work with this MCP server?+
It works with Claude Desktop and any other application that supports the Model Context Protocol. The README specifically provides integration examples for Claude Desktop.
Do I need API keys to use the prompt-optimizer MCP server?+
Yes, you must configure at least one LLM provider API key (OpenAI, Gemini, DeepSeek, Grok, etc.) through environment variables. The MCP_DEFAULT_MODEL_PROVIDER variable determines which service powers the optimization.
Is the prompt-optimizer MCP server free to use?+
The software itself is open-source under AGPL-3.0 license and free to use. However, you'll incur costs from your chosen LLM provider's API usage for the actual prompt optimization operations.
Can I run the MCP server without Docker?+
While the README focuses on Docker deployment for the MCP server, the project is a monorepo that can be run locally with pnpm. However, Docker is the recommended method for stable MCP server deployment alongside the web interface.
How do I install prompt-optimizer?+
Open the source repository on GitHub and follow its README. prompt-optimizer is a mcp server — MCP Agents Market links you directly to the official repo.
Is prompt-optimizer free?+
prompt-optimizer is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.