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pressready

pressready

Local
github.com/ridhwaan-aiProductivity0Updated 1d ago
Repository

About pressready

PressReady converts Markdown chapters, metadata, and a cover image into publication files for Amazon KDP. Authors can generate a Kindle EPUB, print interior and wrap-cover PDFs, plus a JSON upload checklist; it creates files but does not log in to KDP.

Key features

  1. 01Generate Kindle EPUB 3
  2. 02Create trim-size print interior PDF
  3. 03Create wrap-cover PDF with computed spine
  4. 04Produce a JSON upload checklist
  5. 05Build books through CLI or MCP

Use cases

  1. 01Prepare a Markdown manuscript for KDP
  2. 02Generate print files for a chosen trim size
  3. 03Calculate paperback cover spine width
  4. 04Check KDP upload values before publishing

MCP support

Provides the build_book, spine_width, and list_trim_sizes tools to MCP clients for book generation and print-layout information.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "ridhwaan-ai-pressready": {
      "command": "uvx",
      "args": [
        "pressready"
      ]
    }
  }
}
Run commanduvx pressready

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypipressready0.1.0

Tools

3

Saved tool list · updated 3d ago

ParameterTypeRequiredDescription
trimstringNo
paperstringNo
out_dirstringNo
keywordsanyNo
back_textstringNo
cover_imagestringYes
manuscript_dirstringYes

Details

From the project README

PressReady

Manuscript in, publish-ready book out. Give it Markdown chapters, metadata and a front-cover image. It returns:

  1. Kindle EPUB 3 (cover embedded, TOC, front/back matter)
  2. Print interior PDF at the requested trim size (5x8, 5.5x8.5, 6x9, 8.5x11)
  3. Full-wrap paperback cover PDF (spine width computed from page count and paper type)
  4. Upload checklist (JSON) with the values KDP asks for

mcp-name: io.github.ridhwaan-ai/pressready

Install: pip install pressready (or run without installing: uvx pressready mcp). Live API: https://pressready-wp38.onrender.com (agent docs: /llms.txt; pricing: /v1/pricing). Free tier: 3 builds a day per client; unlimited with a license key. The free host sleeps when idle, so the first request can take about a minute.

CLI

pip install pressready
pressready build manuscript/ --trim 5.5x8.5 --paper cream

MCP server

uvx pressready mcp

MCP client config:

{"mcpServers": {"pressready": {"command": "uvx", "args": ["pressready", "mcp"]}}}

Tools: build_book, spine_width, list_trim_sizes.

HTTP API

uvicorn pressready.api:app
  • POST /v1/books creates a job, GET /v1/books/{id} returns status and download URLs
  • GET /v1/limits, GET /v1/pricing: machine-readable limits and pricing
  • GET /llms.txt, GET /quickstart.txt: agent docs
  • GET /openapi.json: OpenAPI spec
  • GET /health: health check

Jobs are in memory and expire after about 15 minutes.

Notes

PressReady produces files; it never logs in to KDP or any other site. Check the output in KDP's previewer before publishing. Output is generated by software; disclose AI use in KDP where its rules require it.

Comments

Markdown supported

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