Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Generate professional PDF reports from LLM output — cover, TOC, tables, charts, 5 themes.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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-generatorPaste 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.
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.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account themoddedcube, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Agent-Native Google Calendar - manage events, sync, and public booking
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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.
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.
Install Python dependencies:
pip install reportlab matplotlib
Add to your claude_desktop_config.json:
{
"mcpServers": { "pdf-report": { "command": "npx", "args": ["-y", "pdf-report-generator"] } } }
generate_reportGenerates 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_textConverts 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_themesReturns available color themes: default, navy, charcoal, forest, burgundy.
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]
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.
MIT