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MCP Prompt Mapper

@Sumedh1599

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

Sumedh1599

About MCP Prompt Mapper

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`.

#open-source#machine-learning#library#ai#prompt-templating

MCP Prompt Mapper config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp_prompt_mapper": {
      "command": "python",
      "args": [
        "setup.py",
        "install"
      ]
    }
  }
}

MCP Prompt Mapper tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is mCP Prompt Mapper?

mcp_prompt_mapper is an open‑source library that generates optimal prompts for Claude, Grok, and OpenAI APIs. It takes input from the companion mcp_input_analyzer and transforms it into structured, efficient prompts for building resources, tools, and additional prompts within an MCP server.

How to use mCP Prompt Mapper?

Install via pip (pip install mcp_prompt_mapper) or from source. In code, import PromptMapper, optionally specify output_format='json' or 'yaml', then call generate_prompts(input_data) with a dictionary. Examples for basic, YAML output, and streaming input are provided.

Key features of mCP Prompt Mapper

  • Prompt templating for resources and tools
  • Custom output formats: JSON and YAML
  • Cross‑API compatibility with Claude, Grok, OpenAI
  • Schema‑aware auto‑complete prompts
  • Streaming input parsing for Claude Desktop

Use cases of mCP Prompt Mapper

  • Generate optimised prompts from the mcp_input_analyzer for MCP server components
  • Create schema‑compliant resource and tool templates in JSON or YAML
  • Build prompts that work across multiple LLM APIs (Claude, Grok, OpenAI)
  • Process streaming input directly in Claude Desktop

Frequently asked questions

1

What APIs does mCP Prompt Mapper support?

It supports Claude, Grok, and OpenAI APIs.

2

What output formats are available?

Prompts can be generated in JSON (default) or YAML format.

3

How do I install mCP Prompt Mapper?

Use `pip install mcp_prompt_mapper` or clone the repository and run `python setup.py install`.

4

What input format does `generate_prompts` expect?

It accepts a dictionary of input data, typically from `mcp_input_analyzer`.

5

Is mCP Prompt Mapper production‑ready?

The library is in early development; some tests may be failing. Contributions are welcome.

Comments

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