MCP Prompt Optimizer
This MCP server provides research-backed prompt optimization tools and professional domain templates designed to improve AI performance through strategies like Tree of Thoughts and Medprompt. It enables users to analyze, auto-optimize, and refine pro
What is MCP Prompt Optimizer?
MCP Prompt Optimizer is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to this mcp server provides research-backed prompt optimization tools and professional domain templates designed to improve ai performance through strategies like tree of thoughts and medprompt. it enabl...
This MCP server provides research-backed prompt optimization tools and professional domain templates designed to improve AI performance through strategies like Tree of Thoughts and Medprompt. It enables users to analyze, auto-optimize, and refine pro
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- This MCP server provides research-backed prompt optimization
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-prompt-optimizerConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use MCP Prompt Optimizer
MCP Prompt Optimizer is a Python-based MCP server that gives AI assistants access to a suite of research-backed prompt engineering tools, including techniques like Tree of Thoughts, Medprompt, and chain-of-thought prompting. It exposes tools for analyzing prompt quality, applying named optimization strategies, automatically selecting the best strategy for a given prompt, and generating professional domain-specific templates for fields like code review, medical, legal, and educational use cases. Developers and power users who want to systematically improve their AI prompts without manually studying prompt engineering research use this server inside Claude Desktop.
Prerequisites
- Python 3.8 or later
- pip package manager
- Git (to clone the repository)
- Claude Desktop or another MCP-compatible client
- Basic familiarity with activating Python virtual environments
Clone the repository
Clone the MCP Prompt Optimizer repository to your local machine.
git clone https://github.com/Bubobot-Team/mcp-prompt-optimizer.git
cd mcp-prompt-optimizerCreate and activate a virtual environment
Isolate the project's dependencies in a Python virtual environment.
python3 -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activateInstall dependencies
Run the provided install script or install requirements manually.
./install.sh
# or manually:
pip install -r requirements.txtRun the interactive setup
The setup script automatically configures Claude Desktop with the correct path to the server.
python3 setup_interactive.pyAdd manually to Claude Desktop config
If you skip the interactive setup, add the server manually to claude_desktop_config.json with the absolute path to prompt_optimizer.py.
{
"mcpServers": {
"prompt-optimizer": {
"command": "python3",
"args": ["/absolute/path/to/mcp-prompt-optimizer/prompt_optimizer.py"],
"env": {}
}
}
}Enable debug logging if needed
Set MCP_LOG_LEVEL to enable verbose output for troubleshooting connection issues.
# In your MCP server env block:
"env": {
"MCP_LOG_LEVEL": "debug"
}MCP Prompt Optimizer Examples
Client configuration
Claude Desktop configuration pointing to the locally cloned prompt optimizer server.
{
"mcpServers": {
"prompt-optimizer": {
"command": "python3",
"args": ["/Users/yourname/mcp-prompt-optimizer/prompt_optimizer.py"],
"env": {
"MCP_LOG_LEVEL": "info"
}
}
}
}Prompts to try
Example requests to use the prompt optimizer tools from within Claude Desktop.
- "Analyze this prompt and score its quality: 'Write a blog post about AI'"
- "Optimize this prompt using chain_of_thought strategy: 'Explain how neural networks work'"
- "Auto-optimize this prompt and suggest the best strategy: 'Help me debug this Python code'"
- "Apply advanced optimization with tree_of_thoughts: 'Design a microservices architecture for an e-commerce platform'"
- "Get the domain template for code_review_checklist"
- "List all available domain templates"Troubleshooting MCP Prompt Optimizer
Claude Desktop shows the prompt-optimizer server as disconnected
Verify the absolute path to prompt_optimizer.py is correct in claude_desktop_config.json. Run `python3 /path/to/prompt_optimizer.py` directly in your terminal to check for import errors before relying on the MCP connection.
ModuleNotFoundError when starting the server
The server must be run with the virtual environment's Python. Update the command in claude_desktop_config.json to point to the venv Python: `/path/to/mcp-prompt-optimizer/venv/bin/python3` instead of the system `python3`.
optimize_prompt or advanced_optimize returns generic output for all strategies
Ensure the strategy name is one of the supported values: `chain_of_thought`, `tree_of_thoughts`, `medprompt`, or `few_shot`. Check the full list with the `list_domain_templates` tool.
Frequently Asked Questions about MCP Prompt Optimizer
What is MCP Prompt Optimizer?
MCP Prompt Optimizer is a Model Context Protocol (MCP) server that this mcp server provides research-backed prompt optimization tools and professional domain templates designed to improve ai performance through strategies like tree of thoughts and medprompt. it enables users to analyze, auto-optimize, and refine pro It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCP Prompt Optimizer?
Follow the installation instructions on the MCP Prompt Optimizer GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCP Prompt Optimizer?
MCP Prompt Optimizer works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCP Prompt Optimizer free to use?
Yes, MCP Prompt Optimizer is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
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