Generates optimal Claude/OpenAI-ready prompts to build each part of the MCP server (resources, tools, prompts) from the input generated by `mcp_input_analyzer`.
Overview
What is mcp_prompt_mapper?
mcp_prompt_mapper is an open-source library designed to generate optimal prompts tailored for Claude, Grok, and OpenAI APIs. It transforms input from mcp_input_analyzer into structured, efficient prompts that can be used to build various parts of the MCP server, including resources, tools, and additional prompts.
How to use mcp_prompt_mapper?
To use mcp_prompt_mapper, install it via pip or clone the repository and run setup.py. You can then initialize the PromptMapper and generate prompts using input data from mcp_input_analyzer.
Key features of mcp_prompt_mapper?
- Prompt Templating: Generate custom templates for creating resources and tools.
- Custom Output Formats: Supports both YAML and JSON formatted outputs optimized for Claude.
- Cross-API Compatibility: Works seamlessly with Claude, Grok, and OpenAI APIs.
- Schema-aware Auto-complete Prompts: Ensure prompts are schema-compliant using auto-completion features.
- Streaming Input Parsing: Efficiently parse streaming inputs directly in Claude Desktop.
Use cases of mcp_prompt_mapper?
- Generating prompts for database resource creation.
- Creating tools for API gateways.
- Handling streaming input for real-time prompt generation.
FAQ from mcp_prompt_mapper?
- Is mcp_prompt_mapper free to use?
Yes! mcp_prompt_mapper is open-source and free to use for everyone.
- What programming languages does it support?
It is primarily designed for Python but can be adapted for other languages that can interface with the APIs.
- How can I contribute to the project?
Contributions are welcome! Please submit a pull request on GitHub.