Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
MCP server for extracting text, images, tables, links, annotations, and metadata from PDF files.
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
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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-reader": {
"command": "uvx",
"args": [
"pdf-insight-mcp"
]
}
}
}Run this in your terminal
claude mcp add pdf-reader -- uvx pdf-insight-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pdf-reader": {
"command": "uvx",
"args": [
"pdf-insight-mcp"
]
}
}
}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-reader": {
"type": "stdio",
"command": "uvx",
"args": [
"pdf-insight-mcp"
]
}
}
}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.
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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 7, 2026
The registry name was verified with the GitHub account Xvvln, 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 (0.2.1) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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.
一个用于读取和分析 PDF 文件的 MCP 服务器。它可以为支持 MCP(Model Context Protocol)的客户端提供 PDF 文本、页面图片、表格、链接、批注、目录、元数据和基础文本统计。
A PDF-focused MCP server for extracting text, rendered pages, tables, links, annotations, outlines, metadata, and text statistics from PDF files.
pdf-reader-mcpio.github.Xvvln/pdf-reader-mcppdf-insight-mcppdf-reader-mcp and pdf-insight-mcppdf-reader-mcp is the project name. The PyPI package is published as pdf-insight-mcp because the pdf-reader-mcp package name is not available on PyPI.
| Tool | What it does |
|---|---|
get_pdf_info | Read document metadata, page count, file size, and encryption status. |
read_pdf_as_text | Extract text from selected pages with page and character limits. |
read_pdf_as_images | Render selected pages as base64-encoded images. |
get_pdf_outline | Read bookmarks and outline entries. |
search_pdf_text | Search text and return per-match page context. |
extract_pdf_tables | Extract structured tables when PyMuPDF can detect them. |
extract_pdf_images | Extract embedded PDF images. |
get_pdf_page_info | Inspect one page's size, text, images, links, and rotation. |
extract_pdf_links | Extract external URLs and internal page jumps. |
get_pdf_annotations | Read comments, highlights, and annotation metadata. |
get_pdf_text_stats | Compute text, line, paragraph, and scan-likelihood stats. |
compare_pdf_pages | Compare text similarity between two pages. |
Install uv if you do not already have it:
curl -LsSf https://astral.sh/uv/install.sh | sh
Run the server directly from PyPI:
uvx pdf-insight-mcp
Or install it first:
python -m pip install pdf-insight-mcp
pdf-reader-mcp
Use the published PyPI package:
{
"mcpServers": { "pdf-reader": { "command": "uvx", "args": ["pdf-insight-mcp"] } } }
Use a local checkout for development:
{
"mcpServers": { "pdf-reader": { "command": "uv", "args": [ "--directory", "/absolute/path/to/pdf-reader-mcp", "run", "pdf-reader-mcp" ] } } }
Replace /absolute/path/to/pdf-reader-mcp with the absolute path to this repository on your machine.
Ask your MCP client to call tools with an absolute PDF path. Example requests:
Read /Users/me/Documents/report.pdf as text.
Search /Users/me/Documents/report.pdf for "baseline characteristics". Render pages 1-3 of /Users/me/Documents/report.pdf as images. Extract links and annotations from /Users/me/Documents/review.pdf.
For large PDFs, prefer small page ranges first. For scanned or layout-sensitive PDFs, use read_pdf_as_images with a small pages range and moderate dpi.
read_pdf_as_text defaults to at most 50 pages and 200000 returned characters.read_pdf_as_images rejects requests above 20 pages.read_pdf_as_images defaults to an overall image payload cap of about 20 MB.extract_pdf_images returns at most 20 embedded images but reports the actual detected total.Install dependencies:
uv sync --extra dev
Run tests:
uv run pytest -q
Build the package:
uv build
uvx twine check dist/*
Run the local server:
uv run pdf-reader-mcp
Releases are published through GitHub Actions.
Before the first release, configure PyPI Trusted Publishing with:
PyPI project name: pdf-insight-mcp
Owner: Xvvln Repository name: pdf-reader-mcp Workflow filename: publish.yml Environment name: leave empty
Then release by bumping versions in pyproject.toml and server.json, committing the change, and pushing a version tag:
git tag vX.Y.Z
git push origin main --tags
The Publish workflow runs tests, builds the Python package, publishes to PyPI, authenticates to the MCP Registry with GitHub OIDC, and publishes server.json.
MIT