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PDF Report Generator

by themoddedcubeversion 1.0.1i★ –iRuns on your computer
Registry nameio.github.themoddedcube/pdf-report-generator

Install

Overview

Description from the maker (original English)

Generate professional PDF reports from LLM output — cover, TOC, tables, charts, 5 themes.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "pdf-report-generator": {
      "command": "npx",
      "args": [
        "-y",
        "@ctalasila/pdf-report-generator"
      ]
    }
  }
}

Run this in your terminal

claude mcp add pdf-report-generator -- npx -y @ctalasila/pdf-report-generator

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "pdf-report-generator": {
      "command": "npx",
      "args": [
        "-y",
        "@ctalasila/pdf-report-generator"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "pdf-report-generator": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ctalasila/pdf-report-generator"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account themoddedcube, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 2178 servers in this category
  • Published to the registry more recently than 9% of the other 2178 servers in this category
  • Basic checks equal to or better than 100% of the other 2178 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is PDF Report Generator safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

pdf-report-generator

An MCP server that generates professional corporate PDF reports from structured JSON specs or raw LLM text output. Drop it into Claude Desktop (or any MCP client) and ask Claude to turn analysis, research, or meeting notes into a polished multi-page report complete with cover page, table of contents, executive summary, section headings, tables, and charts.

A sample output is at examples/sample_report.pdf.


Prerequisites

  • Node.js 18+
  • Python 3.8+

Install Python dependencies:

pip install reportlab matplotlib

Claude Desktop configuration

Add to your claude_desktop_config.json:

{

"mcpServers": { "pdf-report": { "command": "npx", "args": ["-y", "pdf-report-generator"] } } }


Available tools

generate_report

Generates a PDF from a full structured spec.

Minimal example input:

{

"spec": { "metadata": { "title": "Q3 Performance Review", "author": "Engineering Team", "company": "Acme Corp", "classification": "INTERNAL" }, "executive_summary": "Overall performance improved this quarter...", "sections": [ { "heading": "Infrastructure", "body": "Uptime reached 99.94%...", "subsections": [] } ], "tables": [], "charts": [] } }


generate_report_from_text

Converts raw text into a structured PDF report. Sections are auto-detected from headings.

{

"text": "# Overview\nThis quarter...\n\n# Key Findings\n...", "title": "Q3 Summary", "author": "Data Team", "company": "Acme Corp", "classification": "INTERNAL", "theme_name": "navy" }


list_themes

Returns available color themes: default, navy, charcoal, forest, burgundy.


JSON spec reference

metadata

title* string subtitle string author string date string (YYYY-MM-DD; defaults to today) company string department string document_id string (e.g. RPT-2026-001) classification string (PUBLIC | INTERNAL | CONFIDENTIAL) logo_path string (absolute path to PNG/JPG) page_size "letter" | "a4"

executive_summary string

sections[] heading* string body* string (\n\n = paragraph break) subsections[] heading* string body* string

tables[] title string headers* string[] rows* string[][] after_section int (0-based section index; -1 = after exec summary)

charts[] title string type "bar" | "line" | "pie" | "horizontal_bar" labels* string[] datasets* [{label, values[]}] after_section int

images[] path* string (absolute path) caption string width_inches number after_section int

theme primary_color [R, G, B] accent_color [R, G, B] highlight_color [R, G, B]


Example prompts

  • "Turn this analysis into a professional internal PDF report titled 'Q3 Infrastructure Review'"
  • "Generate a corporate report from this research, add a bar chart for the monthly metrics"
  • "Create a CONFIDENTIAL report called 'Security Audit Findings' from this text"
  • "List the available report themes"

Troubleshooting

Python not found — ensure python or python3 is on your PATH and is version 3.8+.

reportlab not installed — run pip install reportlab matplotlib.

Charts missing — matplotlib is required for charts. Install it with pip install matplotlib.

Large PDFs — complex specs with many charts can take 5–15 seconds. This is normal.


License

MIT

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