holy-moly-mcp-remote

Lightweight stdio MCP client that proxies conversion tool calls to an already-running holy-moly-web deployment over HTTP, instead of loading faster-whisper / marker-pdf / WeasyPrint locally. Only depends on fastmcp and httpx.

Install

pip install holy-moly-mcp-remote
# or
uvx holy-moly-mcp-remote

Configuration

Env var Description
HOLY_MOLY_API_URL Base URL of the remote holy-moly-web FastAPI backend
HOLY_MOLY_DEFAULT_WHISPER_MODEL Default speech-to-text model to request (optional; per-call model argument overrides it)
HOLY_MOLY_DEFAULT_TTS_MODEL Default Kokoro TTS model to request (optional; per-call model argument overrides it)

Tools

  • convert_speech_to_text — transcribe a local file or remote URL (mode=plain|minutes, optional language, optional model)
  • convert_pdf_to_markdown — convert a local PDF or remote URL to Markdown (marker-pdf)
  • convert_html_to_pdf — render HTML to PDF (WeasyPrint) and save it locally
  • list_tts_voices — list available text-to-speech voices
  • convert_text_to_speech — synthesise speech to a local WAV file (optional model for Kokoro voices)

VS Code MCP configuration

{
  "servers": {
    "holy-moly-remote": {
      "command": "uvx",
      "args": ["holy-moly-mcp-remote"],
      "env": {
        "HOLY_MOLY_API_URL": "http://your-holy-moly-web-host:8080"
      }
    }
  }
}

See the main repository for the full project, including the local in-process MCP server and the FastAPI/Vue web stack this client talks to.

Project links

Data verified by PyPI on Jul 19, 2026
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Avatar for the78mole from gravatar.com the78mole

Credits

Author: Daniel Glaser

GitHub Statistics

Data verified by PyPI on Jul 19, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.10

Tags

mcp model-context-protocol pdf proxy speech-to-text text-to-speech

Classifiers

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